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DBMS > Citus vs. Hazelcast vs. Linter

System Properties Comparison Citus vs. Hazelcast vs. Linter

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA widely adopted in-memory data gridRDBMS for high security requirements
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.36
Rank#143  Overall
#72  Relational DBMS
Score9.09
Rank#47  Overall
#5  Key-value stores
Score0.12
Rank#299  Overall
#135  Relational DBMS
Websitewww.citusdata.comhazelcast.comlinter.ru/­en
Technical documentationdocs.citusdata.comhazelcast.org/­imdg/­docs
DeveloperHazelcastrelex.ru/­en
Initial release201020081990
Current release8.1, December 20184.1.1, December 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses availablecommercial
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.
Implementation languageCJavaC and C++
Server operating systemsLinuxAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesschema-freeyes
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.yes infospecific XML type available, but no XML query functionalityyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
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.yes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
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 methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
CitusHazelcastLinter
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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More resources
CitusHazelcastLinter
Recent citations in the news

Hadoop Big Data Analytics Market Rapid Growth, Competition Outlook and Future Scope 2027 – KSU | The Sentinel Newspaper
3 March 2021, KSU | The Sentinel Newspaper

Microsoft acquires Citus Data for its open source PostgreSQL tool
24 January 2019, VentureBeat

Hadoop Big Data Analytics Market Size 2027 – By Application, Type & Manufacturers Across North America, Europe, APAC, South America, MEA
3 March 2021, The Courier

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

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

provided by Google News

Hazelcast Releases Cloud-based Architecture for Financial Services Risk Management Applications
24 February 2021, PRNewswire

Hazelcast Broadens Global Partner Program to Drive Cloud Adoption
9 February 2021, PRNewswire

Hazelcast Extends the In-Memory Digital Integration Hub to the Cloud - PRNewswire
3 February 2021, PRNewswire

In-Memory Computing (IMC) Market 2021 Set To See Tremendous Growth in Future 2025 By Top Keyplayers IBM, Oracle, SAP, Altibase, Giga Spaces, Grid Gain Systems, Hazelcast, Microsoft, Software AG, ScaleOut Software, TIBCO
8 March 2021, NeighborWebSJ

In-Memory Data Grids Software Market 2027 Potential Scope for Growth in This Pandamic: Hazelcast, Scaleout Software Inc, Software AG, GridGain, Pivotal – FLA News
4 March 2021, FLA News

provided by Google News

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