Connect Kafka to Cassandra

with open-source ELT

Extract and load (ELT) your Kafka data into Cassandra 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 Kafka data in minutes

1

Select your source

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

2

Select your destination

Connect to Cassandra 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 Cassandra 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 Kafka data into Cassandra

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.
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TRUSTED BY 3,000+ COMPANIES DAILY

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 Kafka?

Apache Kafka is an open-source distributed event streaming platform that is used to handle real-time data feeds. It is designed to handle high volumes of data and provide real-time processing and analysis of data streams. Kafka is used by many companies for various purposes such as data integration, real-time analytics, and messaging. It is highly scalable and fault-tolerant, making it a popular choice for large-scale data processing. Kafka provides a publish-subscribe model where producers publish data to topics, and consumers subscribe to those topics to receive the data. It also provides features such as data retention, replication, and partitioning to ensure data reliability and availability.

What is Cassandra?

Cassandra is a distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. It is highly scalable and fault-tolerant, making it ideal for use in big data applications where data needs to be stored and accessed quickly and reliably. Cassandra uses a peer-to-peer architecture that allows for easy distribution of data across multiple nodes, and it supports a flexible data model that can handle structured, semi-structured, and unstructured data. It is widely used in industries such as finance, healthcare, and e-commerce, where real-time data processing and analysis are critical.

What data can you extract from Kafka?

Kafka's API gives access to various types of data, including:

1. Event data: Kafka is primarily used for streaming event data, such as user actions, sensor readings, and log data.

2. Metadata: Kafka provides metadata about the topics, partitions, and brokers in a cluster.

3. Consumer offsets: Kafka tracks the offset of each message consumed by a consumer, allowing for reliable message delivery.

4. Producer metrics: Kafka provides metrics on the performance of producers, such as message send rate and error rate.

5. Consumer metrics: Kafka provides metrics on the performance of consumers, such as message consumption rate and lag.

6. Log data: Kafka stores log data for a configurable amount of time, allowing for historical analysis and debugging.

7. Administrative data: Kafka provides APIs for managing topics, partitions, and consumer groups.

Overall, Kafka's API gives access to a wide range of data related to event streaming, metadata, performance metrics, and administrative tasks.

How do I transfer data from Kafka to Cassandra?

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 Kafka as a source connector (using Auth, or usually an API key)
2. Set up Cassandra 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 Kafka to Cassandra include:
- Airbyte
- Fivetran
- StitchData
- Matillion
- Talend Data Integration
These tools help in extracting data from Kafka and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Cassandra 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.

Kafka to Cassandra in minutes.

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

Select the Kafka data that you want to replicate.

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

About Kafka

Apache Kafka is an open-source distributed event streaming platform that is used to handle real-time data feeds. It is designed to handle high volumes of data and provide real-time processing and analysis of data streams. Kafka is used by many companies for various purposes such as data integration, real-time analytics, and messaging. It is highly scalable and fault-tolerant, making it a popular choice for large-scale data processing. Kafka provides a publish-subscribe model where producers publish data to topics, and consumers subscribe to those topics to receive the data. It also provides features such as data retention, replication, and partitioning to ensure data reliability and availability.

Start analyzing your Kafka 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

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 Cassandra needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to

Cassandra

.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when

Cassandra

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 Cassandra

Cassandra is a distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. It is highly scalable and fault-tolerant, making it ideal for use in big data applications where data needs to be stored and accessed quickly and reliably. Cassandra uses a peer-to-peer architecture that allows for easy distribution of data across multiple nodes, and it supports a flexible data model that can handle structured, semi-structured, and unstructured data. It is widely used in industries such as finance, healthcare, and e-commerce, where real-time data processing and analysis are critical.

Why Choose Airbyte for your Kafka and Cassandra data integration

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

Kafka

data in the destination of your choice, in minutes.

Maintenance-free

Heading

connector

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

Extensible as open-sourced

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

Kafka to Cassandra in minutes

ETL your Kafka data into Cassandra, 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
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
Cassandra
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
Kafka
and
Cassandra
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 Kafka database needs.

Full control over the data

The 

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.

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 Kafka

Apache Kafka is an open-source distributed event streaming platform that is used to handle real-time data feeds. It is designed to handle high volumes of data and provide real-time processing and analysis of data streams. Kafka is used by many companies for various purposes such as data integration, real-time analytics, and messaging. It is highly scalable and fault-tolerant, making it a popular choice for large-scale data processing. Kafka provides a publish-subscribe model where producers publish data to topics, and consumers subscribe to those topics to receive the data. It also provides features such as data retention, replication, and partitioning to ensure data reliability and availability.

Start analyzing your Kafka 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 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 Cassandra needs

calendar icon

Scheduled updates

Automate replications with recurring incremental updates to Cassandra.

play
Replicate Salesforce data to Snowflake with incremental

Manual full refresh

Easily re-sync all your data when Cassandra 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 Cassandra

Cassandra is a distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. It is highly scalable and fault-tolerant, making it ideal for use in big data applications where data needs to be stored and accessed quickly and reliably. Cassandra uses a peer-to-peer architecture that allows for easy distribution of data across multiple nodes, and it supports a flexible data model that can handle structured, semi-structured, and unstructured data. It is widely used in industries such as finance, healthcare, and e-commerce, where real-time data processing and analysis are critical.

Why choose Airbyte for your Kafka and Cassandra data integration.

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

Maintenance-free

Heading

connector

Just authenticate your

Kafka

account and destination, and your new

Kafka

data integration will adapt to schema / API changes.

Extensible as open-sourced

With Airbyte, you can easily adapt the open-source

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.