CrateDB

Founded by Christian Lutz in 2013

Query and analyze high-volume streaming data in real time using standard SQL

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use CrateDB to store and query large volumes of fast-moving operational data in real time. It combines the speed of search engines with standard SQL syntax, allowing you to run analytical queries over billions of records in milliseconds without prior aggregation. You can ingest millions of data points per second from IoT sensors, application logs, or event streams, and query structured data, JSON documents, full-text search, vectors, and geospatial coordinates together in a single query without managing separate databases or complex pipelines.

What CrateDB does

Ingest streaming events from Kafka topics directly into database tablesRun ad-hoc SQL joins across historical and live streaming recordsSearch log documents with Lucene BM25 relevance scoring via SQLExecute k-nearest neighbors vector search queriesCalculate distance and containment for geographic coordinatesScale database clusters horizontally by adding nodes without downtimeExecutes standard SQL queries across time-series, JSON, full-text, vector, and geospatial dataIngests millions of streaming records per second from sensors and log sourcesBuilt on a distributed architecture with automatic sharding and replicationSupports vector similarity search directly inside SQL queries without external vector databasesIncludes Lucene-based full-text search with relevance scoring and BM25 rankingConnects via the PostgreSQL wire protocol and native connectors for Kafka and SparkQueries nested JSON fields natively using SQL bracket notation

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price

FreeFree

Shared (per hour)$0.07 / mo

Dedicated (per hour)$0.25 / mo

Tutorials & Demos

Frequently asked

PostgreSQL

Apache Spark dbt

dbt

Grafana

Tableau

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