DBMS > CrateDB
CrateDB System Properties
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|Editorial information provided by DB-Engines|
|Description||Distributed Date Store based on Lucene|
|Primary database model||Relational DBMS|
|Secondary database models||Document store|
|License Commercial or Open Source||Open Source|
|Cloud-based Only available as a cloud service||no|
|Server operating systems||All OS with a Java 7 VM|
|Data scheme||Flexible Schema (defined schema, partial schema, schema free)|
|Typing predefined data types such as float or date||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||yes, but no triggers and constraints|
|APIs and other access methods||MQTT (Message Queue Telemetry Transport)|
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET community maintained client
|Supported programming languages||Erlang|
Go community maintained client
Perl community maintained client
Ruby community maintained client
Scala community maintained client
|Server-side scripts Stored procedures||user defined functions|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Read Your Own Writes Consistency for primary key lookups
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no unique row identifiers can be used for implementing an optimistic concurrency control strategy|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||rights management via user accounts|
|More information provided by the system vendor|
CrateDB is an open source distributed SQL database that spreads data and processing across an elastic cluster of identical, shared-nothing nodes.
CrateDB's unique, distributed SQL-on-Lucene architecture makes it easy and economical for mainstream SQL developers to handle extreme analytic data requirements:
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
Read the CrateDB Technical Overview
CrateDB is typically used in operational analytics applications, particularly those that process machine-generated data.
In those scenarios, CrateDB competitive advantages include:
|Typical application scenarios|
Over 70% of CrateDB users surveyed use CrateDB to manage machine-generated data. Popular use cases include:
Visit the CrateDB Customers pages for more use cases and testimonials.
|Licensing and pricing models|
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
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|Recent citations in the news|
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provided by Google News
Data Scientist / Data Engineer
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