Integrate Apache Kafka Source with MS SQL Server

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 MS SQL Server and all of your other cloud tools.

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Easy Apache Kafka Source to MS SQL Server integration with RudderStackRudderStack’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 MS SQL Server. 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 MS SQL Server and RudderStack

Stream behavioral dataEasily stream data from your website or app to [integration, destination=TRUE] in real-time.

Customize data payloadsModify payloads to match requirements in [integration, destination=TRUE].

Connect your pipelinesAutomatically send user behavior data directly to MS SQL Server.

Frequently Asked Questions

How do you integrate Apache Kafka Source with MS SQL Server?

With Rudderstack, integration between Apache Kafka Source and MS SQL Server is simple. Set up a Apache Kafka Source source and start sending data.

Is it expensive to integrate Apache Kafka Source with MS SQL Server?

Pricing Apache Kafka Source and MS SQL Server can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.

How long does it take to integrate Apache Kafka Source with MS SQL Server?

Timing can vary based on your tech stack and the complexity of your data needs for Apache Kafka Source and MS SQL Server.

Use the MS SQL Server integration with other popular sources

.NET SDK

RudderStack SDKs

Hugo

Jamstack Frameworks

RudderStack MS SQL Server DocumentationRefer to our step-by-step guide and start using MS SQL Server today

About MS SQL Server

Microsoft SQL Server or MS SQL Server is a Relational Database Management System (RDBMS). It is used to store and retrieve data as required by other applications. With SQL Server, you can query data efficiently from tables, create database objects, and administer your data. Microsoft has released different versions of SQL Server over the years, which are aimed at different audiences and different workloads.

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.