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Streaming Databases: Real-time SQL on Data in Motion

Streaming databases — query data in motion with SQL and keep results continuously up to date.

19 topics•3 categories•Updated October 2026

Streaming Databases & Stream SQL Engines

6 entries

Systems that maintain results over streams.

01MaterializeSQL streaming database with incrementally updated, Postgres-compatible views; very active in October 2026. 02RisingWavePostgres-compatible streaming database; very active in October 2026. 03ksqlDBConfluent's database for stream processing on Apache Kafka; documentation at docs.ksqldb.io. 04Timeplus ProtonStreaming SQL engine from Timeplus; its Proton engine is open source. 05HazelcastStreaming platform with integrated distributed storage and in-memory computing. 06Apache FlinkStream processing framework with a SQL layer for continuous queries.

Real-time Analytical Databases

2 entries

Fast analytics over fresh data.

07ClickHouseColumn-oriented database for real-time analytical queries. 08QuestDBHigh-performance time series database with SQL.

Related Pages

11 entries

Neighbouring pages on this site.

09Streaming Analytics PlatformsStreaming platforms compared. 10Apache Kafka ResourcesKafka ecosystem. 11Big Data Analytics ToolsSpark, Flink and other big data tools. 12Real-time Data AnalyticsReal-time analytics. 13Time Series DatabasesTime series databases. 14Data EngineeringData engineering hub. 15Event-driven Architecture (EDA)Event-driven architecture. 16Data Lakehouse PlatformsLakehouse platforms and the open table formats, catalogs and engines beneath them. 17Cloud Data WarehousesCloud data warehouse services and real-time analytical databases. 18In-Memory DatabasesDatabases that keep data in memory for low latency. 19Database Management SystemsDatabase management systems across relational, NoSQL and analytical engines.

Frequently Asked Questions

What is a streaming database?

A streaming database lets you define SQL queries over continuously arriving data and keeps the results up to date as new events arrive, instead of running batch queries on data at rest.

How do streaming databases differ from stream processors?

Stream processors such as Flink transform data in pipelines, while streaming databases also store results and serve them to applications, often through a PostgreSQL-compatible interface.

Where can I compare more streaming platforms?

See the Streaming Analytics Platforms page and the Kafka resources page on this site.

How current is this page?

Links were checked in October 2026. Sites that block automated checks are kept and may need a manual click. Vendor ownership, product names and licences change often, so confirm current terms with each vendor.