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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain 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 modelRelational DBMSKey-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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.gridgain.comhazelcast.comhyprcubd.com (offline)www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDrizzle project, originally started by Brian AkerGridGain Systems, Inc.HazelcastHyprcubd, Inc.Rocket Software
Initial release2008200720081985
Current release7.2.4, September 2012GridGain 8.5.15.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetJavaGoC
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query languageyes
APIs and other access methodsJDBCHDFS 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
C#
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 proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesnoyes
Triggersno infohooks for callbacks inside the server can be used.yes (cache interceptors and events)yes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes (replicated cache)yes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (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 integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitednoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsRole-based access controltoken accessAccess rights according to SQL-standard and operating system based

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More resources
DrizzleGridGainHazelcastHyprcubdUniData,UniVerse
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