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DBMS > CrateDB

CrateDB System Properties

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Editorial information provided by DB-Engines
NameCrateDB
DescriptionDistributed Date Store based on Lucene
Primary database modelRelational DBMS
Search engine
Secondary database modelsDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.47
Rank#183  Overall
#90  Relational DBMS
#11  Search engines
Websitecrate.io
Technical documentationcrate.io/­docs
DeveloperCrate
Initial release2013
License infoCommercial or Open SourceOpen Source
Cloud-based infoOnly available as a cloud serviceno
Implementation languageJava
Server operating systemsAll OS with a Java 7 VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes
SQL infoSupport of SQLyes, but no triggers and constraints
APIs and other access methodsMQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
Server-side scripts infoStored proceduresuser defined functions
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategy
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlrights management via user accounts
More information provided by the system vendor
CrateDB
Specific characteristics

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

Download CrateDB

Read the CrateDB Technical Overview

Competitive advantages

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.

Typical application scenarios

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:

Key customers

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.

Market metrics
  • 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.
Licensing and pricing models

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CrateDB
Recent citations in the news

HAKOM stellt Big-Data-Paket für die Energiewirtschaft vor / Hochskalierbare ...
22 August 2018, Presseportal.de (Pressemitteilung)

Real-Time SQL Is What's Making CrateDB Such A Hit In The IoT Market
26 April 2018, Analytics India Magazine

Crate.io Secures $11M in Series A Funding to Accelerate Development and Adoption of the New Crate Machine Data ...
19 June 2018, Business Wire (press release)

Senseforce Leverages SQL Database CrateDB to Provide Real-Time Insights to Machine Manufacturers
6 March 2018, Business Wire (press release)

Crate.io Releases Commercial Machine Data Platform
20 June 2018, LinuxInsider.com

provided by Google News

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