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DBMS > GridGain vs. Hazelcast vs. Hive vs. InfinityDB vs. TinkerGraph

System Properties Comparison GridGain vs. Hazelcast vs. Hive vs. InfinityDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data griddata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSKey-value storeGraph 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.gridgain.comhazelcast.comhive.apache.orgboilerbay.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manual
DeveloperGridGain Systems, Inc.HazelcastApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.
Initial release20072008201220022009
Current releaseGridGain 8.5.15.3.6, November 20233.1.3, April 20224.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJavaJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VMAll OS with a Java VM
Data schemeyesschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 strategynono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like DML and DDL statementsnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
PHP
Python
JavaGroovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reducenono
Triggersyes (cache interceptors and events)yes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoReplicated Mapselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnone
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controlAccess rights for users, groups and rolesnono

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More resources
GridGainHazelcastHiveInfinityDBTinkerGraph
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