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Real-time analytics database for instant insights from any data, at any scale, with SQL.

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Reviews onG2
84 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Distributed SQL database

Biggest con

Smaller community

TL;DR - CrateDB

  • Real-time analytics database for instant querying of diverse data at scale using SQL.
  • Supports complex aggregations, hybrid search (including vector similarity), and AI model integration.
  • Offers dynamic schema, high scalability, fault tolerance, and PostgreSQL compatibility for enhanced developer productivity.
Pricing: Free plan available
Best for: Growing teams
4.4/5 across review platforms

What is CrateDB?

Editorial review
CrateDB is a real-time analytics database designed to ingest and instantly query any data at scale. It enables users to execute complex aggregations, ad-hoc joins, hybrid search, and AI feature queries in seconds through its powerful distributed SQL engine. The platform is built for speed, offering turbocharged aggregations on billions of records in milliseconds, powered by columnar storage. It caters to businesses needing immediate access to real-time data for decision-making, anomaly detection, and workflow optimization. CrateDB supports various data types including relational, JSON, time-series, geospatial, full-text, and vector data within a single system. Its dynamic schema and indexing adapt to evolving data structures without interrupting operations, ensuring real-time data availability upon ingestion. With PostgreSQL compatibility, it integrates easily with third-party tools like Grafana and Tableau, and its vector store allows seamless integration with AI/ML tools and LangChain, offering flexibility in choosing LLMs and embedding algorithms. CrateDB is available as a fully managed service (DBaaS) or for deployment on preferred infrastructure, with an open-source licensing model to prevent vendor lock-in.

Available on: Web

Pros & Cons

Pros

  • Distributed SQL database
  • Time-series optimized
  • Good performance
  • Full-text search
  • Open source

Cons

  • Smaller community
  • Learning curve
  • Limited ecosystem
  • Documentation gaps
  • Less known

Ratings Across the Web

4.4(84 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Distributed SQL databaseTime series supportFull-text searchGeospatial queriesMachine learningHorizontal scaling

Pricing Plans

Free Trial

Pricing checked Jun 7, 2026

Free

Free

Get started

  • 2 vCPUs
  • 2 GB RAM
  • 8 GB storage
  • Shared environment
  • No credit card required

Shared

$0.073/per hour

Non-critical workloads

  • Up to 8 shared vCPUs
  • Up to 12 GB RAM
  • Up to 1 TB storage
  • Daily backups
  • Dev support

Dedicated

$0.246/per hour

Production

  • Up to 144 vCPUs
  • Up to 495 GB RAM
  • Up to 72 TB storage
  • Hourly backups
  • Uptime SLAs
  • Private Link

Custom

null

Large production

  • Unlimited nodes
  • Custom compute
  • Unlimited storage
  • Premium support
  • Dedicated master nodes

How CrateDB's pricing compares

At $0.07/mo, CrateDB is the most affordable of its 2 direct competitors.

CrateDB
$0.07

Entry paid plan, monthly. Pricing checked Jun 7, 2026.

Reviews

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4.4/5

Across 84 verified user reviews on G2

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CrateDB FAQ

How does CrateDB support real-time decision-making?

CrateDB is engineered for speed, allowing users to execute complex aggregations and ad-hoc joins on billions of records in milliseconds. This capability provides immediate access to real-time data, which is crucial for instant insights and timely decision-making.

Which teams would benefit most from using CrateDB?

Teams that require immediate access to real-time data for applications like anomaly detection, workflow optimization, and operational analytics would find CrateDB particularly beneficial. Its ability to handle diverse data types and perform turbocharged aggregations supports data-intensive operations.

How does CrateDB compare to ClickHouse for analytics workloads?

CrateDB offers a distributed SQL engine with PostgreSQL compatibility and supports a wider range of data types including relational, JSON, time-series, geospatial, full-text, and vector data within a single system. It also features dynamic schema and indexing, adapting to evolving data structures without interruption.

What kind of data types can CrateDB manage within a single system?

CrateDB supports a variety of data types, including relational, JSON, time-series, geospatial, full-text, and vector data. This allows for comprehensive data management and analysis without needing multiple specialized databases.

What are the main trade-offs when adopting CrateDB?

Adopting CrateDB may involve a learning curve due to its specialized nature, and it currently has a smaller community and a less extensive ecosystem compared to more established solutions. There may also be some documentation gaps that users need to navigate.

How is CrateDB priced?

CrateDB is available with a free tier, offering an entry point for users to explore its capabilities. Paid plans are also available, providing additional usage and features for more demanding requirements.

Can CrateDB integrate with artificial intelligence and machine learning tools?

Yes, CrateDB's vector store allows for seamless integration with AI/ML tools and platforms like LangChain. This provides flexibility in choosing different large language models (LLMs) and embedding algorithms for AI-driven applications.

Source: cratedb.com

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