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DBMS > CrateDB vs. PostgreSQL vs. SAP SQL Anywhere

System Properties Comparison CrateDB vs. PostgreSQL vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS
Search engine
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#163  Overall
#83  Relational DBMS
#10  Search engines
Score481.33
Rank#4  Overall
#4  Relational DBMS
Score5.83
Rank#59  Overall
#33  Relational DBMS
Websitecrate.iowww.postgresql.orgwww.sap.com/­products/­sql-anywhere.html
Technical documentationcrate.io/­docswww.postgresql.org/­docs/­manualshelp.sap.com/­sql-anywhere
DeveloperCratePostgreSQL Global Development Group infowww.postgresql.org/­developerSAP infoformerly Sybase
Initial release20131989 info1989: Postgres, 1996: PostgreSQL1992
Current release11.5, August 201917, July 2015
License infoCommercial or Open SourceOpen SourceOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageJavaC
Server operating systemsAll OS with a Java 7 VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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 infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsyes infostandard with numerous extensionsyes
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
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
ADO.NET
JDBC
ODBC
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in C/C++, Java, .Net or Perl
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
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 strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBPostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

More resources
CrateDBPostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PostgreSQL Conference, Asia 2019
Denpasar, Bali, Indonesia, 9-12 September 2019

PostgreSQL Conference, Europe 2019
Milan, Italy, 15-18 October 2019

Recent citations in the news

Crate.io Receives 2019 IoT Evolution Industrial IoT Product of the Year Award
10 July 2019, GlobeNewswire

Top 10 IoT Startups of 2019
18 August 2019, Analytics Insight

Crate.io Introduces IoT Data Platform for Discrete Manufacturing
6 March 2019, GlobeNewswire

Crate.io Accelerates Industry 4.0 and Manufacturing IIoT Initiatives on Azure with Microsoft Co-Sell Ready Status
13 December 2018, GlobeNewswire

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

provided by Google News

After PostgreSQL, DigitalOcean now adds MySQL and Redis to its managed databases’ offering
20 August 2019, Packt Hub

Database PostgreSQL makes transition from academia to enterprise
9 August 2019, TechHQ

DigitalOcean launches managed MySQL and Redis database services
20 August 2019, TechCrunch

Providing Postgres at scale with EnterpriseDB
8 August 2019, Tech Wire Asia

Microsoft buys a start-up whose software limits access to sensitive data
29 July 2019, CNBC

provided by Google News

SAP SQL Anywhere
13 October 2016, TechTarget

SAP gives SQL Anywhere a new IoT injection
16 July 2015, Computerworld

SAP BAPI (Business Application Programming Interface)
2 April 2018, TechTarget

Data Management and the Internet of Things
3 November 2016, CloudTweaks News

SAP IoT products: How do they work with ERP and big data?
28 December 2015, TechTarget

provided by Google News

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