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DBMS > GridGain vs. Hazelcast vs. Hyprcubd vs. UniData,UniVerse

System Properties Comparison GridGain vs. Hazelcast vs. Hyprcubd vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridServerless Time Series DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series DBMSMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#125  Overall
#25  Key-value stores
#61  Relational DBMS
Score10.08
Rank#48  Overall
#6  Key-value stores
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score4.49
Rank#84  Overall
#2  Multivalue DBMS
Websitewww.gridgain.comhazelcast.comhyprcubd.comwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationwww.gridgain.com/­docs/­latesthazelcast.org/­imdg/­docswww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperGridGain Systems, Inc.HazelcastHyprcubd, Inc.Rocket Software
Initial release200720081985
Current releaseGridGain 8.5.15.1, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaGoC
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringoptional
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.yesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query languageyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesnoyes
Triggersyes (cache interceptors and events)yes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controltoken accessAccess rights according to SQL-standard and operating system based

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More resources
GridGainHazelcastHyprcubdUniData,UniVerse
Recent citations in the news

GridGain Continues Strong Momentum in 2021, Has Record Revenue Year
22 February 2022, GlobeNewswire

In-Memory Data Grid Industry is Expected to Reach $8 Billion by 2028 -Oracle, IBM, Hazelcast, Scale Out Software, Tibco Software, Software AG, Gigaspaces, Gridgain Systems, Alachisoft, Pivotal, Tmaxsoft, Hitachi – The Daily Vale
23 May 2022, The Daily Vale

GridGain Expands SaaS Portfolio, Makes GridGain Nebula Available to All Apache Ignite Users
28 October 2021, GlobeNewswire

GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

In-Memory Grid Market Research 2022- IBM Corporation, GridGain Systems, Hazelcast, Pivotal Software, Hitachi – ManufactureLink
13 May 2022, ManufactureLink

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Hazelcast Announces New Executive Hires as Enterprises Demand Real-Time Solutions
11 May 2022, GlobeNewswire

In-Memory Data Grids Market Outlook | Key Players -IBM, Software AG, Hazelcast, Pivotal, GigaSpaces Technologies – Carbon Valley Farmer and Miner
25 May 2022, Carbon Valley Farmer and Miner

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24 May 2022, Blocks and Files

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26 May 2022, Digital Journal

Event Streaming Platform Market is Expected to Reach US$ 43.33 Bn by the End of 2031-IBM, Hazelcast, SAS Institute Inc., Amazon, Crosser Technologies, Google, Instaclustr, Oracle, VMware Inc., Confluent – The Daily Vale
24 May 2022, The Daily Vale

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30 November 2021, Startland News

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UniData
22 December 2019, International Spectrum Magazine

Data + software services
21 August 2018, UCAR

provided by Google News

Job opportunities

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