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DBMS > CrateDB

CrateDB System Properties

Please select another system to compare it with CrateDB.

Our visitors often compare CrateDB with InfluxDB, PostgreSQL and TimescaleDB.

Editorial information provided by DB-Engines
NameCrateDB
DescriptionDistributed Database based on Lucene
Primary database modelDocument store
Time Series DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#237  Overall
#35  Document stores
#19  Time Series DBMS
Websitecrate.io
Technical documentationcrate.io/­-docs
DeveloperCrate
Initial release2013
License infoCommercial or Open SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJava
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support
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, and PostgreSQL compatibility
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Server-side scripts infoStored proceduresuser defined functions (Javascript)
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
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.

Performance

  • Run ad-hoc queries​ across 100s of billions of records in < 1 second​

  • Use columnar storage for hyper-fast aggregations​

  • With fully distributed query engine on top of Apache Lucene®​

Ease of Use and Flexibility

  • Standard SQL and PostgreSQL Wire Protocol for easy onboarding and great tool compatibility​

  • Analyze relational, object, time-series, geo and full-text data all in one system​

Scalability and Reliability

  • Scale from a single node to analyzing petabytes of data across hundreds of nodes in a cluster​

  • Built-in high availability and automatic failover​

  • Fully-managed Cloud, Hybrid and On-Premises (OSS)​

Try CrateDB Cloud for free

Download CrateDB

Read the CrateDB Technical Overview

Competitive advantages

CrateDB is typically used in operational analytics applications.

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 in order to monitor, predict and optimize the behavior of smart systems in real time.

Popular use cases include:

Key customers

CrateDB customers include Bitmovin, ALPLA, Gantner Instruments, SPGo!, TGW Logistics Group, Thomas Concrete Group, ABB, and more.

Download an e-book to learn how our customers harnessed the full value of their operational data with CrateDB.

Market metrics
Licensing and pricing models

  • CrateDB Cloud The efficiency & range of CrateDB in the Cloud

  • CrateDB Edge brings the scale, availability, and convenience of a managed CrateDB cluster wherever your data is — including remote and tions

  • CrateDB on-premises is open source and free to use under the Apache 2 license.

Learn about CrateDB pricing

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
Conferences and events

How O-CELL real-time monitoring solution helps to reduce the environmental impact of infrastructures with CrateDB
Webinar with Q&A; 5:00 pm - 5:45 pm CET, 5 April 2023

Learn simple No-Code Data Import and Visualization with CrateDB Cloud
Live Demo with Q&A; 4:00 pm - 4:30 pm CET, 27 April 2023

Finished events

Live Demo on Time-series data: from Raw Data to Fast Analysis in only 3 steps
Webinar, 16:00 - 16:45 CET, 22 February 2023 (finished)

Recent citations in the news

Crate.io Expands CrateDB Cloud with the Launch of CrateDB Edge
15 April 2021, GlobeNewswire

Crate.io raises $10M to grow its database platform
15 June 2021, VentureBeat

Crate.io Brings Power of Industrial SQL Time Series to Azure IoT ...
24 September 2018, businesswire.com

CrateDB packs NoSQL flexibility, SQL familiarity
19 December 2016, InfoWorld

CrateDB Tackles Machine Analytics with Scale-Out SQL Database
14 December 2016, Datanami

provided by Google News

Job opportunities

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Aptos, Alpharetta, GA

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Aptos, Atlanta, GA

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