Databricks Structured Streaming
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Overview
Tagline Brand's website · 2026-10-04
The only engine that allows developers to use the exact same SQL/DataFrame code for both historical batch processing and real-time streams with enterprise-grade state management.
Description Brand's website · 2026-10-04
Databricks Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. It enables users to express streaming computations the same way they express batch computations against static data, utilizing the Spark DataFrame and Dataset API. It is a core component of the Databricks Lakehouse Platform for real-time analytics and ETL.
Offerings
Core capabilities Brand's website · 2026-10-04
- Structured Streaming Engine
- Delta Live Tables (integrates SS)
- Spark Structured Streaming (OSS)
Pricing Brand's website · 2026-10-04
Usage-based (via Databricks Units - DBUs)
Audience
Target industry Brand's website · 2026-10-04
Data Engineering, Data Science, Fintech, AdTech, IoT/Manufacturing, Enterprise IT
Landscape
Competitors Brand's website · 2026-10-04
- Apache Flink / Confluent Cloud
- Amazon Kinesis Data Analytics
- Google Cloud Dataflow / Apache Beam
- Snowflake Streaming
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