Connect Redshift to Google Cloud Storage Destination

with open-source ELT

Extract and load (ELT) your Redshift data into Google Cloud Storage Destination in minutes with our open-source data integration connector.

Eliminate the time you spend on building and maintaining your data pipelines by integrating your data with Airbyte instead.
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Start analyzing your Redshift data in minutes

1

Select your source

Just authenticate your Redshift account and destination, and your new Google Cloud Storage Destination data integration will adapt to schema / API changes.

2

Select your destination

Connect to Google Cloud Storage Destination or one of 50+ Airbyte data sources through simple account authentication

3

Sync your Data

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

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

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.

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.

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.

It’s never been easier to integrate your Redshift data into Google Cloud Storage Destination

Airbyte Open Source

Self-host the leading open-source data movement platform with the largest catalog of ELT connectors.
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The easiest way to address all your ELT needs. Largest catalog of connectors, all customizable.
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The best way to run Airbyte in self-hosted, with services and features that drive reliability, scalability, and compliance.
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Why choose Airbyte as the backbone of your data infrastructure?

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.
Leverage all the alpha and beta connectors for free on Airbyte Cloud with our Free Connector Program.

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.

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.
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.

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?

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 Google Cloud Storage Destination?

Cloud Storage is a service offered by Google for storing objects in Google Cloud. Objects are comprised of data in the form of a file of any format—text information, video files, audio files, etc. Objects are stored in buckets, buckets are associated with a particular project, and projects are grouped under an organization; all forms of data are stored securely and durably. Data contained in Google Storage is widely shareable, contingent upon permissions set by the data owners.

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 to Google Cloud Storage Destination?

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 as a source connector (using Auth, or usually an API key)
2. Set up Google Cloud Storage Destination as a destination connector
3. 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. 

What are top ETL tools to extract data from

The most prominent ETL tools to transfer data from Redshift to Google Cloud Storage Destination include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from Redshift and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Google Cloud Storage Destination 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.

Redshift to Google Cloud Storage Destination in minutes.

ETL your Redshift data into Google Cloud Storage Destination, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Google Cloud Storage Destination
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Redshift
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Redshift
and
Google Cloud Storage Destination
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Select the Redshift data that you want to replicate.

The Redshift source connector can be used to sync the following tables:

Resulting schema
The Redshift source does not alter the schema present in your warehouse. Depending on the destination connected to this source, however, the schema may be altered. See the destination's documentation for more details.

About 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.

Start analyzing your Redshift data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your

Redshift

data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your Google Cloud Storage Destination needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to

Google Cloud Storage Destination

.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

Google Cloud Storage Destination

has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Google Cloud Storage Destination

Cloud Storage is a service offered by Google for storing objects in Google Cloud. Objects are comprised of data in the form of a file of any format—text information, video files, audio files, etc. Objects are stored in buckets, buckets are associated with a particular project, and projects are grouped under an organization; all forms of data are stored securely and durably. Data contained in Google Storage is widely shareable, contingent upon permissions set by the data owners.

Why Choose Airbyte for your Redshift and Google Cloud Storage Destination data integration

Airbyte is the new open-source ETL platform, and enables you to replicate your

Redshift

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your Redshift account and destination, and your new Redshift data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source Redshift ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.

Redshift to Google Cloud Storage in minutes

ETL your Redshift data into Google Cloud Storage Destination, in minutes, for free, with our open-source data integration connectors. In the format you need with post-load transformation.

We don't support the
Redshift
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Google Cloud Storage Destination
connector yet. Scroll down to upvote and prioritize it, or check our Connector Development Kit to build it within 2 hours.
We don't support the
Redshift
and
Google Cloud Storage Destination
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Airbyte is designed to address 100% of your Redshift database needs.

Full control over the data

The 

Redshift

 source does not alter the schema present in your database. Depending on the destination connected to this source, however, the schema may be altered.

calendar icon

Scheduled updates

Automate replications with recurring incremental updates.

Log-based incremental replication

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About 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.

Start analyzing your Redshift data in minutes with the right data transformation

airbyte data transformation screenshot

Full control over the data

You select the data you want to replicate, and this for each destination you want to replicate your Redshift data to.

Normalized schemas

You can opt for getting the raw data, or to explode all nested API objects in separate tables.

Custom transformation via dbt

You can add any dbt transformation model you want and even sequence them in the order you need, so you get the data in the exact format you need at your cloud data warehouse, lake or data base.

Airbyte is designed to address 100% of your Google Cloud Storage Destination needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to Google Cloud Storage Destination.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when Google Cloud Storage Destination has been desynchronized from the data source.

Change Data Capture for databases

Ensure your database are up to date with log-based incremental replication.

play
Check how log replication works for PostgreSQL

About Google Cloud Storage Destination

Cloud Storage is a service offered by Google for storing objects in Google Cloud. Objects are comprised of data in the form of a file of any format—text information, video files, audio files, etc. Objects are stored in buckets, buckets are associated with a particular project, and projects are grouped under an organization; all forms of data are stored securely and durably. Data contained in Google Storage is widely shareable, contingent upon permissions set by the data owners.

Why choose Airbyte for your Redshift and Google Cloud Storage Destination data integration.

Airbyte is the new open-source ETL platform, and enables you to replicate your Redshift data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

Just authenticate your

Redshift

account and destination, and your new

Redshift

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

Redshift

ETL connector to your exact needs. All connectors are open-sourced.

No more security compliance issues​

Use Airbyte’s open-source edition to test your data pipeline without going through 3rd-party services. This will make your security team happy.

Normalized schemas​

Engineers can opt for raw data, analysts for normalized schemas. Airbyte offers several options that you can leverage with dbt.

Orchestration & scheduling​

Airbyte integrates with your existing stack. It can run with Airflow & Kubernetes and more are coming.

Monitoring & alerts on your terms​

Delays happen. We log everything and let you know when issues arise. Use our webhook to get notifications the way you want.