DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > CrateDB

CrateDB System Properties

Please select another system to compare it with CrateDB.

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

Editorial information provided by DB-Engines
NameCrateDB
DescriptionDistributed Database based on Lucene
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Websitecratedb.com
Technical documentationcratedb.com/­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

The enterprise database for time series, documents, and vectors. Distributed - Native SQL - Open Source - Ready for AI

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

Already using CrateDB? Take 3 minutes to complete our survey to help us improve!

Competitive advantages


  • Response time in milliseconds: even for complex ad-hoc queries.

  • Massive scaling: from one to hundreds of nodes.

  • Read/Write intensive: for heavy concurrent workloads.

  • Flexible data schema: editable on the fly at runtime.

  • Any type of data: structured, semi-structured, unstructured, time-series, geospatial, BLOB.

  • Aggregations on the fly: even with complex joins, large datasets and historical data.

  • Native SQL: for query simplicity and quick onboarding PostgreSQL Wire Protocol For 3rd party integrations.

  • Full-text search: no need for any extra database.

  • High availability: automatic failover, recovery and replication.

  • Multiple deployment models: DBaaS or self-managed / Edge extension.

  • Cost-efficient architecture: optimized infrastructure & operations / Low carbon footprint.

Typical application scenarios

  • IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics for high-volume Industrial IoT data.

  • Time-series: with CrateDB, you keep getting query results in milliseconds, even for complex queries, multiple data types and high ingest rates, while storing years of data.

  • Log analysis: insert all your logs into a single database that you can query instantaneously, even for the most write/read intensive use cases.

  • Geospatial data: store, analyze and track the location of people and objects in real-time.

  • Application backend: keep your performance high when your application backend data grows. 

  • AI/ML: CrateDB offers a robust scalable database that not only meets the requirements of your AI/ML data strategy but also unlocks new insights and copes with the huge AI workloads.

  • Digital twins: embrace digital twins technology with a scalable database designed for intensive reads/writes and providing real-time access to data to empower precise simulations and drive efficiency and cost savings.

Key customers

Across all continents, CrateDB is used by companies of all sizes to meet the most stringent requirements in terms of speed and scalability while minimizing the overhead of operations Discover more interesting stories >

Market metrics
Licensing and pricing models

See 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
Recent citations in the news

CrateDB Announces Availability of CrateDB on Google Cloud Marketplace
8 April 2024, Datanami

CrateDB Appoints Sergey Gerasimenko as New CTO
19 February 2024, PR Newswire

CrateDB Partners with HiveMQ to Deliver a Seamless Data Management Architecture for IoT
25 March 2024, PR Newswire

How We Designed CrateDB as a Realtime SQL DBMS for the Internet of Things
29 August 2017, The New Stack

Real-Time Analytics Database Company CrateDB Names Lars Färnström as New CEO
1 March 2023, Business Wire

provided by Google News



Share this page

Featured Products

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here