CrateDB System Properties

CrateDB is an open source distributed SQL database that spreads data and processing across an elastic cluster of identical, shared-nothing nodes.

• Data is processed by append-only Lucene-based shards, with in-memory columnar field caches for fast query performance. 
  
• CrateDB is a strong fit for query-intensive operational analytics workloads. It is not generally used for update-intensive OLTP workloads. 
• The Lucene DNA in CrateDB enables dynamic schemas, text search, and rich JSON data handling in SQL

CrateDB's unique, distributed SQL-on-Lucene architecture makes it easy and economical for mainstream SQL developers to handle extreme analytic data requirements:

• Scale to ingest millions of data points per second
• Handle a variety of complex data structures - tabular, nested objects (JSON), BLOBs
• Query data in real time, as it streams in--time series, text search, geospatial, AI analytics

Until recently, workloads like these necessitated a NoSQL solution like Cassandra, Elasticsearch, Splunk, or InfluxDB. CrateDB makes it possible to handle them without sacrificing the familiarity and power of SQL

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CrateDB is typically used in operational analytics applications, particularly those that process machine-generated data.

In those scenarios, CrateDB competitive advantages include:

• Easier to adopt and integrate than proprietary NoSQL DB interfaces - SQL!
  
• Query versatility - SQL joins, aggregations, special indexing for time series, text search, geospatial, user-defined functions for AI/ML
• Simple scaling and high availability - CrateDB automates partitioning, sharding, replication, indexing.
• Real-time performance - ingests and queries data in real-time via parallel processing, in-memory columnar indexes.
• Dynamic schemas - new columns and nested object (JSON) attributes are added to the schema automatically as they are inserted.
  
  

CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in order to monitor, predict and optimize the behavior of smart systems in real time.

Over 70% of CrateDB users surveyed use CrateDB to manage machine-generated data. Popular use cases include:

• IoT (ALPLA, Nokia, Konux, Zumtobel, Roomonitor)
• Time-Series  (Digital Domain, ALPLA, Nokia, Zumtobel)
• Geospatial Tracking (NBC GolfNow, Clickdrive, Spatially)
• Cybersecurity & Systems Monitoring (McAfee, Bitmovin, Digital Domain)
• Marketing Analytics (Qualtrics, DriveNow, ClearVoice)

CrateDB customers include McAfee, Qualtrics, Nokia, NBC Golfnow, Digital Domain, ALPLA, eBay, Bitmovin, Konux,...

Visit the CrateDB Customers pages for more use cases and testimonials.

• The CrateDB open source project was started in 2014.
  
• CrateDB was the winner of TechCrunch Disrupt Europe in 2014
• As of 2018...
  
  • CrateDB has been downloaded over 2 million times since its introduction in 2014
  • There are 500+ active CrateDB clusters in production globally
  • Crate has offices in New York, San Francisco, Berlin, London, and Austria.
  • The largest CrateDB deployment is McAfee Skyhigh, using CrateDB to analyze cloud traffic from half the F500 companies in real time to find security threats.

CrateDB pricing 

CrateDB Community Edition is open source and free to use under the Apache 2 license.

CrateDB Enterprise Edition includes premium features and support and is licensed on a per-server basis.

Crate Machine Data Platform (powered by CrateDB) is a cloud service for loading, enriching and analyzing machine data in real time; operated, scaled, and secured by the experts at Crate.io.