CrateDB

CrateDB

CrateDB is an open source distributed SQL database that focuses on scalability, performance, and ease of use. It can ingest billions of records per day and run queries across large datasets in real time. CrateDB uses a shared-nothing architecture to horizontally scale reads and w
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sql distributed scalable open-source

CrateDB: Open Source Distributed SQL Database

Learn about CrateDB, an open source distributed SQL database focusing on scalability, performance, and ease of use for real-time data processing and large-scale datasets.

What is CrateDB?

CrateDB is an open source massively scalable SQL database that makes it simple to store and analyze massive amounts of machine data in real-time. It was designed from the ground up to power IoT, machine data, analytics, and other high data volume use cases.

Some key features and benefits of CrateDB include:

  • Horizontally scalable - CrateDB scales linearly with extra capacity added. It can run on cheap commodity hardware or cloud infrastructure.
  • ANSI SQL Support - Use familiar SQL queries and existing SQL tools and libraries.
  • Real-time analytics - Run complex queries across billions of records for machine learning and predictive analytics.
  • Easy data ingestion - Ingest millions of records per second from any source using Kafka, MQTT, HTTP, or other methods.
  • High availability - CrateDB stays available even when nodes or data centers fail, ensuring no data loss.
  • Open source - CrateDB is completely open source under the Apache License 2.0 so there are no restrictions or vendor lock-in.

Ideal use cases for CrateDB include sensor data analytics, inventory management, supply chain monitoring, IoT backends, manufacturing systems, and more. It's a scalable all-round database for time series, geo-data, and any structured or semi-structured data.

CrateDB Features

Features

  1. Horizontally scalable and fault tolerant
  2. ANSI SQL support
  3. Real-time analytics
  4. Geo-distributed replication
  5. Automatic sharding
  6. Full-text search
  7. In-memory columnar storage engine
  8. NoSQL access via REST API

Pricing

  • Open Source

Pros

Highly scalable

Fast query performance

Flexible SQL and NoSQL access

Open source with permissive license

Easy to deploy and manage

Cons

Limited ecosystem compared to leading databases

Not ideal for complex transactions

Steep learning curve for advanced features


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