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DBMS > CrateDB vs. Postgres-XL

System Properties Comparison CrateDB vs. Postgres-XL

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Our visitors often compare CrateDB and Postgres-XL with PostgreSQL, MongoDB and MySQL.

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionDistributed Database based on LuceneBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#216  Overall
#36  Document stores
#5  Spatial DBMS
#16  Search engines
#18  Time Series DBMS
#8  Vector DBMS
Score0.52
Rank#267  Overall
#121  Relational DBMS
Websitecratedb.comwww.postgres-xl.org
Technical documentationcratedb.com/­docswww.postgres-xl.org/­documentation
DeveloperCrate
Initial release20132014 infosince 2012, originally named StormDB
Current release10 R1, October 2018
License infoCommercial or Open SourceOpen SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenono
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 languageJavaC
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynoyes
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 strategyACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBPostgres-XL
Specific characteristicsCrateDB is an open-source distributed SQL database that spreads data and processing...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CrateDBPostgres-XL
Conferences, events and webinars

How to Get the Most Out of Your Time Series Data
Webinar; 11:00–11:45 am CET and 09:00–09:45 am PT, 27 February 2024

CrateDB European Tour Amsterdam
Amsterdam, 09:00 am - 12:30 pm CET, 13 March 2024

Recent citations in the news

CrateDB Appoints Sergey Gerasimenko as New CTO
19 February 2024, AiThority

Sergey Gerasimenko Steps Up as CrateDB's New CTO: A Strategic Leap Forward
19 February 2024, BNN Breaking

10 Lesser-Known Databases. Discover Hidden Gems | by Abnoan Muniz
28 September 2023, DataDrivenInvestor

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

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

provided by Google News

Challenges When Migrating from Oracle to PostgreSQL—and How to Overcome Them | Amazon Web Services
1 February 2018, AWS Blog

5 Takeaways from Big Data Spain 2017 | by Enrique Herreros
5 December 2017, Towards Data Science

provided by Google News



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