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DBMS > Citus vs. GeoSpock vs. Hazelcast vs. Linter

System Properties Comparison Citus vs. GeoSpock vs. Hazelcast vs. Linter

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeoSpock  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLSpatial and temporal data processing engine for extreme data scaleA widely adopted in-memory data gridRDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#151  Overall
#74  Relational DBMS
Score0.22
Rank#274  Overall
#126  Relational DBMS
Score9.47
Rank#42  Overall
#5  Key-value stores
Score0.03
Rank#330  Overall
#137  Relational DBMS
Websitewww.citusdata.comgeospock.comhazelcast.comlinter.ru/­en
Technical documentationdocs.citusdata.comdocs.geospock.com/­Content/­Home.htmhazelcast.org/­imdg/­docs
DeveloperGeoSpockHazelcastrelex.ru/­en
Initial release201020081990
Current release8.1, December 20182.0, September 20194.0, February 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptJavaC and C++
Server operating systemsLinuxhostedAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynoyes infothe object must implement a serialization strategyno
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsANSI SQL for query only (using Presto)SQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
CitusGeoSpockHazelcastLinter
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

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CitusGeoSpockHazelcastLinter
Recent citations in the news

Database Software Global Market Report 2020-30: Covid 19 Impact and Recovery
16 September 2020, GlobeNewswire

Microsoft acquires Citus Data
24 January 2019, TechCrunch

Citus Data Announces Citus Cloud Database Support for HIPAA and SOC 2 Type 2 Compliance
13 November 2018, Business Wire

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Citus Data Announces HIPAA-Compliant Healthcare Cloud
13 November 2018, HITInfrastructure.com

provided by Google News

GeoSpock selected as a semi-finalist for Toyota Mobility Foundation's CATCH
16 September 2020, Geospatial World

Frontier Developments named Business of the Year
18 September 2020, Business Weekly

GeoSpock to unveil seminal funding round to fuel global expansion
7 July 2020, Business Weekly

GeoSpock - an emerging force in geospatial big data - Rethink
1 November 2019, Rethink Research

GeoSpock and X-Locations Collaborate to Deliver Next Generation Location Data Analysis in Japan
25 March 2019, Business Wire

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Hazelcast Adds SQL Support in Latest Upgrade -- ADTmag
17 September 2020, ADT Magazine

Hazelcast Advances Leadership, Lowers Barrier of Adoption to In-Memory Digital Integration Hubs
9 September 2020, PRNewswire

Stream Processing Is a Great Addition to Data Grid, Hazelcast Finds
14 September 2020, Datanami

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21 August 2020, AiThority

Hazelcast Announces Updates to Its Managed Service Platform
26 August 2020, CIOReview

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