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Integrate Apache Kafka Source with PostgreSQL
Don't go through the pain of direct integration. RudderStack’s Apache Kafka Source integration makes it easy to send data from Apache Kafka Source to PostgreSQL and all of your other cloud tools.
Easy Apache Kafka Source to PostgreSQL integration with RudderStack
RudderStack’s open source Apache Kafka Source integration allows you to integrate RudderStack with your Apache Kafka Source to track event data and automatically send it to PostgreSQL. With the RudderStack Apache Kafka Source integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Popular ways to use PostgreSQL and RudderStack
Stream behavioral data
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloads
Modify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelines
Automatically send user behavior data directly to PostgreSQL.
Frequently Asked Questions
About PostgreSQL
PostgreSQL database (also known as Postgres) is a popular open-source database used by thousands of companies worldwide for their data storage requirements. It is enterprise-grade and supports both relational and non-relational queries.
Businesses use PostgreSQL as their low-cost data warehousing solution to deliver efficient analytics and user insights. PostgreSQL is fast, scalable, and easy to administer. It also has excellent support for third-party applications and analytical tools. PostgreSQL is known for its reliability, high performance, and robustness.
About Apache Kafka Source
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.