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Zerobus Ingest is now Generally Available!

Om_Jha
Databricks Employee
Databricks Employee

Zerobus Ingest is now Generally Available! Delivering a fully managed, serverless way to stream data directly into Unity Catalogโ€“governed Delta tables, eliminating Kafka-style message buses, cutting costs, and simplifying real-time architectures.

Key highlights

  • Subโ€‘5โ€‘second latency at massive scale: Support thousands of concurrent clients and stream 10+ GB/sec to a single table, with up to 100 MB/sec per connection and automatic serverless scaling.
  • Simple, single-sink architecture: Go from Source systems โ†’ Zerobus Ingest โ†’ Lakehouse, removing brokers, partitions, consumer groups, and cluster upgrades for a fraction of Kafkaโ€™s cost per GB.
  • APIs and SDKs for every stack: Integrate via high-performance gRPC API, REST API (Beta), and production-ready SDKs for Python, Java, Rust, Go, and TypeScript, plus OpenTelemetry (Beta) for logs, metrics, and traces.
  • Built-in governance from day one: Every write lands in Unity Catalog with automatic lineage and fine-grained access controls, so streaming data follows the same governance model as the rest of your lakehouse.
  • Broad industry impact: Power manufacturing telemetry, telco/IoT network monitoring, security log streaming, and real-time clickstream analytics for personalization, all without managing a message bus.

Now GA on AWS & Azure with promo pricing: Zerobus Ingest is GA on AWS and Microsoft Azure, billed under Lakeflow Jobs Serverless with a 6โ€‘month promotional pricing period; GCP support is coming soon.

Ready to eliminate streaming infrastructure complexity and stream directly to your lakehouse? Hereโ€™s the full GA blog & deep dive

๐ŸŽฅ Donโ€™t miss to watch the recent Community BrickTalk on Zerobus!

1 REPLY 1

Kirankumarbs
Contributor

As of now, we are using Structured streaming and Spark Kafka protocol to read IoT data and ingest it into Delta Tables! Zero bus Ingest seems pretty useful for my use case!

Curious to try this out!

@Om_Jha Thanks for the nice write-up!