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Open-source ELT from Local SQLite to any destination

Open-source ETL from Local SQLite to any destination

Open-source database replication from Local SQLite

Open data movement to Local SQLite

Local SQLite is a lightweight, serverless database engine ideal for mobile apps, embedded systems, and small applications. It offers fast, reliable data storage and easy integration.

Airbyte enables you to load your Local SQLite data into any data warehouse, lake, or database in minutes using our pre-built, no-code connectors.

Airbyte enables you to extract and sync data from your Local SQLite data into any data warehouse, lake, database, or any destination within minutes.

Replicate your Local SQLite data into any data warehouses, lakes or (vector) databases, in minutes, using Change Data Capture.

Airbyte enables you to sync from any data source to Local SQLite, in minutes.

AIRBYTE CONNECTOR
MARKETPLACE
Try Airbyte Cloud
Coming soon in Cloud
Deploy Airbyte Open Source
This connector is not available on Airbyte.
Upvote here to help the community prioritize.

Read the Local SQLite docs

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

Top companies trust Airbyte to centralize their Data

Start leveraging your Local SQLite data in three easy steps

1

Setup a Local SQLite connector in Airbyte

Connect to Local SQLite or one of 400 Airbyte data sources through simple account authentication.

2

Set up a destination for your extracted Local SQLite data

Choose from one of 50+ destinations where you want to import data from your Local SQLite source.This can be a cloud data warehouse, database, data lake, vector database, or any other supported Airbyte destination.

3

Configure the Local SQLite connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Start analyzing your Local SQLite data in three easy steps

1

Setup a Local SQLite connector in Airbyte

Connect to Local SQLite or one of 300+ Airbyte data sources through simple account authentication

2

Set up a destination for your extracted Local SQLite data

Choose from one of 50+ destinations where you want to import data from your Local SQLite source. This can be a cloud data warehouse, database, data lake, or any other supported Airbyte destination.

3

Configure the Local SQLite connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Start syncing data from any source to Local SQLite in three easy steps

1

Set up a source connector to extract data from in Airbyte

Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code no-code connector builder.

2

Set up Local SQLite as the destination connector

Connect to Local SQLite or one of 50+ Airbyte data sources through simple account authentication

3

Configure the connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in Local SQLite you want that data to be loaded.

Get started for free
Get started for free
LOVED by 10,000 (DATA) ENGINEERS

The Airbyte ‍Open Data Movement Platform

The only open solution empowering data teams
to meet growing business demands in the new AI era.

Largest catalog (300+)
Extensible (open-source)
End-to-end automation
Stream-level reliability

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.
Browse our catalog

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.
Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI,  API and CLI  (coming soon).
  • Automated schema change handling, data normalization and more
  • Automated data transformation orchestration with our dbt integration
  • Automated workflow with our Airflow, Dagster and Prefect integration
Explore our demo app

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
Read more about how we test Connectors
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Largest catalog (300+)
Extensible (open-source)
End-to-end automation
Stream-level reliability

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.
Browse our catalog

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.
Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI,  API and CLI  (coming soon).
  • Automated schema change handling, data normalization and more
  • Automated data transformation orchestration with our dbt integration
  • Automated workflow with our Airflow, Dagster and Prefect integration
Explore our demo app

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
Read more about how we test Connectors
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Largest catalog (300+)
Extensible (open-source)
End-to-end automation
Stream-level reliability

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.
Browse our catalog

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.
Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI,  API and CLI  (coming soon).
  • Automated schema change handling, data normalization and more
  • Automated data transformation orchestration with our dbt integration
  • Automated workflow with our Airflow, Dagster and Prefect integration
Explore our demo app

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
Read more about how we test Connectors

Move large volumes, fast.

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

Change Data Capture.

Airbyte's log-based CDC allows for fast detection of all data changes and efficient replication with minimal resources.

Security from source to destination.

Securely connect to your database using our reliable connection methods (SSL/TLS, SSH tunnels). Bring your own cloud too!

We support the CDC methods your company needs

Log-based CDC

Our binary log reader asynchronously reads the transaction logs to identify any changes made to the database. This scalable method can handle large volumes of data and enables real-time CDC.
Read more about CDC

Timestamp-based CDC

Changes are identified using a cursor, and only the changes made since the last sync are replicated.
Learn more

It’s never been easier to integrate your Local SQLite data into your data warehouse, lake or database

It’s never been easier to integrate your Local SQLite data into your data warehouse, lake or database

It’s never been easier to integrate any data to Local SQLite

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.
Deploy Airbyte Open Source

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.
Try Airbyte Cloud free

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
Learn more
Talk to our team
TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Reduced costs
Cloud or Self-managed
Best-in-class support

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.
Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.
Check how much Airbyte reduces your costs

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:
  • Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
Talk to our team to learn more

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.
Talk to our team

Get your Local SQLite data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Get your Local SQLite data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Sync your data from any sources to Local SQLite

Airbyte supports a growing list of sources, including API tools,  cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

BigQuery
Warehouses and Lakes
Redshift
Warehouses and Lakes
MySQL Destination
Databases
Postgres destination
Databases
MS SQL Server
Databases
Snowflake destination
Warehouses and Lakes
DuckDB
Databases
Typesense
Engineering Analytics
Databricks Lakehouse
Warehouses and Lakes
S3 Glue
Warehouses and Lakes
Azure Blob Storage
Warehouses and Lakes
AWS Datalake
Warehouses and Lakes
Salesforce
Sales & Support Analytics
Facebook Marketing
Marketing Analytics
Google Ads
Marketing Analytics
Google Sheets
Files
Google Analytics 4 (GA4)
Marketing Analytics
Gitlab
Unstructured
GitHub
Unstructured
MySQL
Databases
Notion
Unstructured
HubSpot
Marketing Analytics
Redshift
Warehouses and Lakes
Slack
Finance & Ops Analytics
and more
Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

Continue reading

Ready to get started?

Try Airbyte Cloud freeTalk to our team

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

What data can you extract from Local SQLite?

How do I transfer data from Local SQLite?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Local SQLite as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Local SQLite and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from Local SQLite

The most prominent ETL tools to extract data from Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from Local SQLite and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

What data can you extract from Local SQLite?

How do I transfer data from Local SQLite?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Local SQLite as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Local SQLite and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from Local SQLite

The most prominent ETL tools to extract data from Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from Local SQLite and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

What data can you extract from Local SQLite?

What data can you transfer to Local SQLite?

You can transfer a wide variety of data to Local SQLite. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

How do I transfer data to Local SQLite?

What are top ETL tools to transfer data from Local SQLite

The most prominent ETL tools to transfer data to Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Similar data sources

No items found.
No items found.
Back to all connectors

Open-source ELT from Local SQLite to any destination

Open-source ETL from Local SQLite to any destination

Open-source database replication from Local SQLite

Open-source Data Movement to Local SQLite

Local SQLite is a lightweight, serverless database engine ideal for mobile apps, embedded systems, and small applications. It offers fast, reliable data storage and easy integration.

Airbyte enables you to load your Local SQLite data into any data warehouse, lake, or database in minutes using our pre-built, no-code connectors.

Airbyte enables you to extract and sync data from your Local SQLite data into any data warehouse, lake, database, or any destination within minutes.

Replicate your Local SQLite data into any data warehouses, lakes or (vector) databases, in minutes, using Change Data Capture.

Airbyte enables you to sync from any data source to Local SQLite, in minutes.

AIRBYTE CONNECTOR
MARKETPLACE
Try Airbyte CloudTry Airbyte Cloud
Coming soon in Cloud
Deploy Airbyte Open Source
This connector is not available on Airbyte.
Upvote here to help the community prioritize.

Read the Local SQLite docs

20,000+
community members
6,000+
daily active companies
2PB+
synced/month
900+
contributors

Start syncing data from any source to Local SQLite in three easy steps

Start leveraging your Local SQLite data in three easy steps

Setup a Local SQLite connector in Airbyte

Setup a Local SQLite connector in Airbyte

Set up a source connector to extract data from in Airbyte

Connect to Local SQLite or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Choose from one of 400 sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code connector builder

Set up a destination for your extracted Local SQLite data

Set up Local SQLite as the destination connector

Choose from one of 50+ destinations where you want to import data from your Local SQLite source.This can be a cloud data warehouse, database, data lake, vector database, or any other supported Airbyte destination.

Connect to Local SQLite or one of 50+ Airbyte data destinations through simple account authentication.

Configure the Local SQLite connection in Airbyte

Configure the connection in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in Local SQLite you want that data to be loaded.

The Airbyte Open Data Movement Platform

The only open solution empowering data teams  to meet growing business demands in the new AI era.

Before Airbyte
  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Integrating unstructured data sources will make it even more impossible.
After Airbyte
  • Reliable and accurate
  • Extensible and scalable for all your needs
  • Deployed and governed your way
All your sources, structured and unstructured, in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.
LOVED by 10,000 (DATA) ENGINEERS

The Airbyte ‍Open Data Movement Platform

The only open solution empowering data teams
to meet growing business demands in the new AI era.

Largest catalog (300+)
Extensible (open-source)
End-to-end automation
Stream-level reliability

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.
Browse our catalog

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.
Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI,  API and CLI  (coming soon).
  • Automated schema change handling, data normalization and more
  • Automated data transformation orchestration with our dbt integration
  • Automated workflow with our Airflow, Dagster and Prefect integration
Explore our demo app

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
Read more about how we test Connectors

Why Airbyte?

Airbyte is the only platform covering all your current and future data movement needs, from genAI workflows to managing pipelines.

Connector Marketplace
Gen AI workflows
Manage pipelines
Ensure data security

Syncing data from Local SQLite is only one of your 1,000 future data pipeline needs.

  • Leverage the largest Marketplace of 400+ pre-built and 10,000+ custom structured and unstructured connectors
  • Join 2,000 + data engineers who built 7,000+ custom connectors in minutes with low-code/no-code Connector Builder or AI Assistant.
Check the Connector Builder
  • Simplify your AI workflows by loading unstructured data directly into popular vector store destinations like Pinecone, Weaviate, Milvus and more.
  • Airbyte enhances the accuracy and efficiency of  your Gen AI applications by leveraging RAG, vector databases, and unstructured data integration.
Explore the AI use cases

Any specific way you would like to sync data from Local SQLite? Airbyte has you covered.

  • UI: Create connections and custom connectors in minutes.
  • API: Programmatic interactions, data syncing, and embedded connectors.
  • Terraform: Integration with CI/CD tools and rapid deployment with Infrastructure as Code.
  • PyAirbyte: Build LLM applications with Python libraries, SQL tools, and AI frameworks.
Check out our demo app
  • Flexible deployment options: self-hosted, cloud, and hybrid.
  • Secure and compliant: ISO 27001, SOC 2, GDPR, HIPAA, data encryption, audit/monitoring, SSO, RBAC, and more.
  • Centralized multi-tenant management with self-serve capabilities.
Learn more about Airbyte Enterprise
LOVED by 10,000 (DATA) ENGINEERS

Ship more quickly with the only solution that fits ALL your needs.

As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines

Largest catalog (300+)
Extensible (open-source)
End-to-end automation
Stream-level reliability

Leverage the largest catalog of  connectors

Airbyte’s catalog of 300+ pre-built, no-code connectors is the largest in the industry and is doubling every year, thanks to its open-source community, while closed-source catalogs have plateaued.
Browse our catalog

Cover your custom needs with our extensibility

Build custom connectors in 10 min with our Connector Development Kit (CDK), and get them maintained by us or our community. Add them to Airbyte to enable your whole team to leverage them.
Customize ANY Airbyte connectors to address Your custom needs. Our connector’s code is open-source, so you can edit it as you see fit.
Check our CDK

Free your time from maintaining connectors, with automation

Get your pipelines automated and running in minutes from our intuitive UI,  API and CLI  (coming soon).
  • Automated schema change handling, data normalization and more
  • Automated data transformation orchestration with our dbt integration
  • Automated workflow with our Airflow, Dagster and Prefect integration
Explore our demo app

Reliability at every level

Airbyte ensure your team’s time is no longer time spent on maintenance with our reliability SLAs on our GA connectors.
Airbyte will also give you visibility and control of your data freshness at the stream level for all your connections.
Read more about how we test Connectors

Move large volumes, fast.

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

Change Data Capture.

Airbyte's log-based CDC allows for fast detection of all data changes and efficient replication with minimal resources.

Security from source to destination.

Securely connect to your database using our reliable connection methods (SSL/TLS, SSH tunnels). Bring your own cloud too!

We support the CDC methods your company needs

Log-based CDC

Our binary log reader asynchronously reads the transaction logs to identify any changes made to the database. This scalable method can handle large volumes of data and enables real-time CDC.
Read more about CDC

Timestamp-based CDC

Changes are identified using a cursor, and only the changes made since the last sync are replicated.
Learn more

What our users say

Jean-Mathieu Saponaro
Data & Analytics Senior Eng Manager

The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!

Learn more
Chase Zieman headshot
Chase Zieman
Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more
Alexis Weill
Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria.
The value of being able to scale and execute at a high level by maximizing resources is immense”

Learn more

It’s never been easier to integrate your Local SQLite data into your data warehouse, lake or database

It’s never been easier to integrate your Local SQLite data into your data warehouse, lake or database

It’s never been easier to integrate any data to Local SQLite

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.
Deploy Airbyte Open Source

Airbyte Cloud

The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.
Try Airbyte Cloud free

Airbyte Enterprise

The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
Learn more
Talk to our team

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Explore our demo app
TRUSTED BY 3,000+ COMPANIES DAILY

Why choose Airbyte as the backbone of your data infrastructure?

Reduced costs
Cloud or Self-managed
Best-in-class support

Keep your data engineering costs in check

Building and maintaining custom connectors have become 5x easier with Airbyte. Enable your data engineering teams to focus on projects that are more valuable to your business.
Given 44% of data teams are spent on maintaining brittle in-house connectors, this is a new level of internal resources that you get back.
Check how much Airbyte reduces your costs

Get Airbyte hosted where you need it to be

Airbyte helps you deploy your pipelines in production with two deployment options for the data plane:
  • Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
  • Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
Talk to our team to learn more

White-glove enterprise-level support

With an average response rate of 10 minutes or less and a Customer Satisfaction score of 96/100, our team is ready to support your data integration journey all over the world.

Including for your Airbyte Open Source instance with our premium support.
Talk to our team

Get your Local SQLite data in whatever tools you need

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Get your Local SQLite data in whatever tools you need

Sync your data from any source to Local SQLite

Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.

Airbyte supports a growing list of sources, including API tools,  cloud data warehouses, lakes, databases, and files, or even custom sources you can build.

Salesforce
Sales & Support Analytics
Facebook Marketing
Marketing Analytics
Google Ads
Marketing Analytics
Google Sheets
Files
Google Analytics 4 (GA4)
Marketing Analytics
Gitlab
Unstructured
GitHub
Unstructured
MySQL
Databases
Notion
Unstructured
HubSpot
Marketing Analytics
Redshift
Warehouses and Lakes
Slack
Finance & Ops Analytics
BigQuery
Warehouses and Lakes
Redshift
Warehouses and Lakes
MySQL Destination
Databases
Postgres destination
Databases
MS SQL Server
Databases
Snowflake destination
Warehouses and Lakes
DuckDB
Databases
Typesense
Engineering Analytics
Databricks Lakehouse
Warehouses and Lakes
S3 Glue
Warehouses and Lakes
Azure Blob Storage
Warehouses and Lakes
AWS Datalake
Warehouses and Lakes
And more
Case study
Consolidating data silos at Fnatic

Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.

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FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

What data can you extract from Local SQLite?

How do I transfer data from Local SQLite?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Local SQLite as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Local SQLite and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from Local SQLite

The most prominent ETL tools to extract data from Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from Local SQLite and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

What data can you extract from Local SQLite?

How do I transfer data from Local SQLite?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Local SQLite as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Local SQLite and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from Local SQLite

The most prominent ETL tools to extract data from Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These ETL and ELT tools help in extracting data from Local SQLite and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

What data can you extract from Local SQLite?

What data can you transfer to Local SQLite?

You can transfer a wide variety of data to Local SQLite. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

How do I transfer data to Local SQLite?

What are top ETL tools to transfer data from Local SQLite

The most prominent ETL tools to transfer data to Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

What data can you extract from Local SQLite?

How do I transfer data from Local SQLite?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Local SQLite as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Local SQLite and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to extract data from Local SQLite?

The most prominent ETL tools to transfer data to Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Local SQLite?

How do I transfer data from Local SQLite?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Local SQLite as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Local SQLite and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

What are top ETL tools to transfer data from Local SQLite?

The most prominent ETL tools to transfer data to Local SQLite include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into [tool] and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

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