Rockset Integrates the Ability to Analyze Kafka Data

Rockset, the serverless search and analytics company that enables SQL on NoSQL data, is introducing the capability to analyze raw events from Apache Kafka in real time. Kafka, backed by Confluent, is a distributed streaming platform capable of handling trillions of events a day.

Rockset takes an entirely new approach to ingesting, analyzing and serving data so that developers and business stakeholders can run powerful SQL analytics, including joins, on raw event data from Kafka. With this release, Rockset is also announcing a partnership with Confluent, with Rockset’s Kafka Connect Plugin listed as a Verified Gold Connector in Confluent Hub.

Rockset complements Kafka’s KSQL stream processing capabilities by serving as the “sink” that ingests the processed stream.

With Rockset, new event data from Kafka is automatically represented as a dynamic SQL table and available for querying in seconds.

Rockset uses Converged Indexing and a Distributed SQL Processing Engine under the hood to enable customers to filter, aggregate and join across different datasets from different sources in milliseconds, without upfront schema definitions.

With this release, Rockset supports the ability to:

  • Visualize event data in leading real-time SQL dashboards with JDBC support, including Tableau, Apache Superset, Redash and Grafana.
  • Create developer APIs for building microservices and applications for the Internet of Things (IoT), e-commerce, operational monitoring and more.
  • Join Kafka event streams with business data in Amazon DynamoDB, Amazon Kinesis, Amazon S3, Google Cloud Storage and more.

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