Apache Kafka to Redshift in minutes.

ETL your Apache Kafka data into Redshift, 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
Apache Kafka
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
Apache Kafka
and
Redshift
connectors yet. Scroll down to upvote and prioritize them, or check our Connector Development Kit to build it within 2 hours.

Select the Apache Kafka data that you want to replicate.

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

About Apache Kafka

Start analyzing your Apache Kafka data in minutes with the right data transformation

Full control over the data

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

Apache Kafka

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 Redshift needs

Scheduled updates

Automate replications with recurring incremental updates to

Redshift

.

Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

Redshift

has been desynchronized from the data source.

Change Data Capture for databases

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

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.

Why Choose Airbyte for your Apache Kafka and Redshift data integration

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

Apache Kafka

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

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

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source Apache Kafka 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.

Open-source data integration

Get all your ELT data pipelines running in minutes with Airbyte.

Apache Kafka

to

Redshift

in minutes.

ETL your Apache Kafka data into Redshift, 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
Apache Kafka
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
Apache Kafka
and
Redshift
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 Apache Kafka database needs.

Full control over the data

The 

Apache Kafka

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

Scheduled updates

Automate replications with recurring incremental updates.

Log-based incremental replication

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

Check how log replication works for PostgreSQL

About Apache Kafka

Start analyzing your Apache Kafka data in minutes with the right data transformation

Full control over the data

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

Scheduled updates

Automate replications with recurring incremental updates to Redshift.

Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when Redshift has been desynchronized from the data source.

Change Data Capture for databases

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

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.

Why choose Airbyte for your Apache Kafka and Redshift data integration.

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

Maintenance-free

Heading

connector

Just authenticate your

Apache Kafka

account and destination, and your new

Apache Kafka

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

Apache Kafka

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.

Open-source data integration

Get all your ELT data pipelines running in minutes with Airbyte.