How to load data from Redshift to Convex

Learn how to use Airbyte to synchronize your Redshift data into Convex within minutes.

Try Airbyte Cloud

Get a demo

Building your pipeline or Using Airbyte

Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Redshift connector in Airbyte

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

Set up Convex for your extracted Redshift data

Select Convex where you want to import data from your Redshift source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Redshift to Convex 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.

Try Airbyte Cloud

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

Talk to our team

Old Automated Content

TL;DR

set up Redshift as a source connector (using Auth, or usually an API key)
set up Convex as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Redshift

A fully managed data warehouse service in the Amazon Web Services (AWS) cloud, Amazon Redshift is designed for storage and analysis of large-scale datasets. Redshift allows businesses to scale from a few hundred gigabytes to more than a petabyte (a million gigabytes), and utilizes ML techniques to analyze queries, offering businesses new insights from their data. Users can query and combine exabytes of data using standard SQL, and easily save their query results to their S3 data lake.

What is Convex

Convex is a platform that provides a suite of tools for building and deploying machine learning models. It offers a user-friendly interface for data scientists and developers to create and train models, as well as a scalable infrastructure for deploying them in production. Convex also includes features such as automated model tuning, version control, and collaboration tools to streamline the machine learning workflow. The platform is designed to be flexible and customizable, allowing users to integrate their own libraries and frameworks. Overall, Convex aims to simplify the process of building and deploying machine learning models, making it accessible to a wider range of users.

Integrate Redshift with Convex in minutes

Try for free now

Prerequisites

A Redshift account to transfer your customer data automatically from.
A Convex account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Redshift and Convex, for seamless data migration.

When using Airbyte to move data from Redshift to Convex, it extracts data from Redshift using the source connector, converts it into a format Convex can ingest using the provided schema, and then loads it into Convex via the destination connector. This allows businesses to leverage their Redshift data for advanced analytics and insights within Convex, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Redshift as a source connector

1. Open the Airbyte UI and navigate to the "Sources" tab.

2. Click on the "Create a new connection" button and select "Redshift" as the source.

3. Enter a name for the connection and click "Next".

4. Enter the necessary credentials for your Redshift database, including the host, port, database name, username, and password.

5. Test the connection to ensure that the credentials are correct and the connection is successful.

6. Select the tables or views that you want to replicate from Redshift to Airbyte.

7. Choose the replication method, either full or incremental, and set any necessary parameters.

8. Click "Create connection" to save the configuration and start the replication process.

9. Monitor the replication progress and troubleshoot any errors that may occur. 10. Once the replication is complete, you can use the data in Airbyte for further analysis or integration with other tools.

Step 2: Set up Convex as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. From there, click on the "Add Destination" button in the top right corner of the screen.
4. In the search bar, type "Convex" and select the Convex destination connector from the list of options.
5. Next, you will need to enter your Convex API key. This can be found in your Convex account settings.
6. Once you have entered your API key, click on the "Test" button to ensure that the connection is working properly.
7. If the test is successful, click on the "Save" button to save your settings.
8. You can now use the Convex destination connector to transfer data from Airbyte to your Convex account.

Step 3: Set up a connection to sync your Redshift data to Convex

Once you've successfully connected Redshift as a data source and Convex as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Redshift from the dropdown list of your configured sources.
Select your destination: Choose Convex from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Redshift objects you want to import data from towards Convex. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Redshift to Convex according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Convex data warehouse is always up-to-date with your Redshift data.

Use Cases to transfer your Redshift data to Convex

Integrating data from Redshift to Convex provides several benefits. Here are a few use cases:

Advanced Analytics: Convex’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Redshift data, extracting insights that wouldn't be possible within Redshift alone.
Data Consolidation: If you're using multiple other sources along with Redshift, syncing to Convex allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Redshift has limits on historical data. Syncing data to Convex allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Convex provides robust data security features. Syncing Redshift data to Convex ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Convex can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Redshift data.
Data Science and Machine Learning: By having Redshift data in Convex, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Redshift provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Convex, providing more advanced business intelligence options. If you have a Redshift table that needs to be converted to a Convex table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Redshift account as an Airbyte data source connector.
Configure Convex as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Redshift to Convex after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

Easily address your data movement needs with Airbyte Cloud

Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team.

Get started with Airbyte for free

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

Improve your data infrastructure knowledge

Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.

Subscribe to newsletter

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

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.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

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

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

Sync with Airbyte

Step 1: Set up Redshift as a source connector

1. Open the Airbyte UI and navigate to the "Sources" tab.

2. Click on the "Create a new connection" button and select "Redshift" as the source.

3. Enter a name for the connection and click "Next".

4. Enter the necessary credentials for your Redshift database, including the host, port, database name, username, and password.

5. Test the connection to ensure that the credentials are correct and the connection is successful.

6. Select the tables or views that you want to replicate from Redshift to Airbyte.

7. Choose the replication method, either full or incremental, and set any necessary parameters.

8. Click "Create connection" to save the configuration and start the replication process.

Step 2: Set up Convex as a destination connector

Step 3: Set up a connection to sync your Redshift data to Convex

Once you've successfully connected Redshift as a data source and Convex as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Redshift from the dropdown list of your configured sources.
Select your destination: Choose Convex from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Redshift objects you want to import data from towards Convex. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Redshift to Convex according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Convex data warehouse is always up-to-date with your Redshift data.

How to Sync Redshift to Convex Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

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 Redshift?

What data can you extract from Redshift?

Amazon Redshift provides access to a wide range of data related to the Redshift cluster, including:

1. Cluster metadata: Information about the cluster, such as its configuration, status, and performance metrics.

2. Query execution data: Details about queries executed on the cluster, including query text, execution time, and resource usage.

3. Cluster events: Notifications about events that occur on the cluster, such as node failures or cluster scaling.

4. Cluster snapshots: Point-in-time backups of the cluster, including metadata and data files.

5. Cluster security: Information about the cluster's security configuration, including user accounts, permissions, and encryption settings.

6. Cluster logs: Detailed logs of cluster activity, including system events, query execution, and error messages.

7. Cluster performance metrics: Metrics related to the cluster's performance, such as CPU usage, disk I/O, and network traffic.

Overall, Redshift's API provides a comprehensive set of data that can be used to monitor and optimize the performance of Redshift clusters, as well as to troubleshoot issues and manage security.

How do I transfer data from Redshift?

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 Redshift to Convex 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 Redshift to Convex 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 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.

Back to all tutorials

Engineering Analytics

Warehouses and Lakes

How to load data from Redshift to Convex

Learn how to use Airbyte to synchronize your Redshift data into Convex within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Redshift

Step 2: Setup Convex

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Redshift and Convex

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Redshift as a source connector (using Auth, or usually an API key)
set up Convex as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Redshift

What is Convex

Integrate Redshift with Convex in minutes

Try for free now

Prerequisites

A Redshift account to transfer your customer data automatically from.
A Convex account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Redshift as a source connector

1. Open the Airbyte UI and navigate to the "Sources" tab.

2. Click on the "Create a new connection" button and select "Redshift" as the source.

3. Enter a name for the connection and click "Next".

4. Enter the necessary credentials for your Redshift database, including the host, port, database name, username, and password.

5. Test the connection to ensure that the credentials are correct and the connection is successful.

6. Select the tables or views that you want to replicate from Redshift to Airbyte.

7. Choose the replication method, either full or incremental, and set any necessary parameters.

8. Click "Create connection" to save the configuration and start the replication process.

Step 2: Set up Convex as a destination connector

Step 3: Set up a connection to sync your Redshift data to Convex

Once you've successfully connected Redshift as a data source and Convex as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Redshift from the dropdown list of your configured sources.
Select your destination: Choose Convex from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Redshift objects you want to import data from towards Convex. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Redshift to Convex according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Convex data warehouse is always up-to-date with your Redshift data.

Use Cases to transfer your Redshift data to Convex

Integrating data from Redshift to Convex provides several benefits. Here are a few use cases:

Advanced Analytics: Convex’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Redshift data, extracting insights that wouldn't be possible within Redshift alone.
Data Consolidation: If you're using multiple other sources along with Redshift, syncing to Convex allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Redshift has limits on historical data. Syncing data to Convex allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Convex provides robust data security features. Syncing Redshift data to Convex ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Convex can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Redshift data.
Data Science and Machine Learning: By having Redshift data in Convex, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Redshift provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Convex, providing more advanced business intelligence options. If you have a Redshift table that needs to be converted to a Convex table, Airbyte can do that automatically.