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October 7, 2025

Firebolt Connector for Confluent : Real-Time Applications, Powered by Streaming Data

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We’re excited to share that Firebolt has successfully validated its connector as part of the Connect with Confluent technology partner program. This milestone makes Firebolt a first-class destination for streaming data, empowering engineering teams to build production-grade real-time data applications with Firebolt’s low-latency analytics, Postgres-compatible SQL, and Iceberg support.

With this integration, customers can now stream data from Confluent Cloud into Firebolt, unlocking real-time dashboards, anomaly detection, and event-driven applications — all with the scalability of Confluent’s fully managed data streaming platform, built by the original creators of Apache Kafka®.

“Our mission at Firebolt is to help engineers build blazing-fast analytics experiences with cloud-native simplicity. Confluent’s validation of our Kafka Sink Connector is a critical step in bringing streaming data into the hands of developers without complex data engineering work.”

Mosha Pasumansky, CTO, Firebolt

Expanding the Data Streaming Ecosystem Together with Confluent

The Connect with Confluent program brings fully managed data streams directly to organizations through a single integration to Confluent Cloud. With the newly validated Firebolt connector, it’s easier than ever to:

  • Stream real-time data into Firebolt’s analytical database for real-time applications
  • Leverage at-least-once delivery guarantees and Schema Registry support for reliable ingestion
  • Power operational and customer-facing applications that rely on real-time, streaming data
  • Run low-latency queries, complex joins, and heavy transformations on real-time data with strong price/performance

For Firebolt customers, this means faster time to insights and less operational overhead for building modern data products. For Confluent users, Firebolt now becomes a highly performant analytics layer that can serve low-latency queries at scale.

Build Real-Time Applications with Firebolt + Confluent

Firebolt is built for engineers who need performance, flexibility, and control. Together with Confluent, engineering teams can unlock powerful use cases:

  • Change Data Capture (CDC) analytics: Stream database changes into Firebolt for near real-time monitoring and reporting.
  • Operational dashboards: Power real-time dashboards for product analytics, fraud detection, and customer experience monitoring.
  • Event-driven applications: Feed downstream microservices with curated, query-ready data in Firebolt.
  • AI/ML pipelines that rely on real-time usage data for better predictions.
  • Customer-facing analytics in application with sub-second response times.

By combining Confluent’s cloud-native data streaming platform with Firebolt’s vectorized query engine, elastic compute, and ACID transactions, engineers get the control they need without sacrificing query performance.

How It Works

The Firebolt Confluent connector supports:

  • Append-only streaming into Firebolt tables
  • JSON input format (Avro and CDC support coming in future phases)
  • Schema Registry integration (values only)
  • Cloud-only deployment with at-least-once delivery guarantees

Configuration is simple — create a Confluent connector, point it to your Firebolt workspace, and start streaming events into Firebolt tables.

Getting Started

Ready to try it out?

Create a streaming pipeline from Confluent to Firebolt in minutes. Build your first real-time application today.

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