By combining these technologies, businesses can process vast amounts of data quickly, enabling them to make timely decisions based on the latest information. In this article, we explore how to integrate SQL with Kafka, the benefits it offers, and the best practices for implementing this integration.

Unlock the power of real-time analytics with SQL Server and Apache Kafka. Learn how to set up streaming pipelines, integrate Kafka with SQL Server, build real-time dashboards, and optimize system performance for immediate insights and informed decisions.

In this article, you are going to learn why streaming SQL is beneficial, how to use tools such as RisingWave to query data in a Kafka topic with SQL, and how to perform some basic analysis on the real-time data.

Build real-time dashboards from Kafka data using SQL. RisingWave consumes Kafka streams and continuously updates materialized views that power Grafana, Metabase, or any BI tool — sub-second refresh without Spark, Flink, or custom consumers.

For users who are comfortable with SQL, it makes stream processing application development simpler and easier to implement real-time analytics and data transformations.

Use ksqlDB to analyze Kafka streams with SQL, building real-time dashboards, aggregations, and materialized views without writing code.

Rockset is a real-time analytics database that integrates seamlessly with Kafka. Apache Flink is a powerful stream processing framework that works well with Kafka. ksqlDB is a streaming SQL engine for Apache Kafka, developed by Confluent.

ksqlDB is Confluent’s purpose-built streaming SQL database that enables developers to build real-time, event-driven applications on Apache Kafka® using familiar SQL syntax.

This project demonstrates an effective implementation of a real-time data pipeline using Apache Kafka, Python, SQL Server, and Power BI. It allows seamless collection, processing, and visualization of system metrics, enabling users to gain valuable insights into system performance.

Compare and read user reviews of the best Real-Time Analytic Databases for Apache Kafka currently available using the table below. This list is updated regularly.