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DBMS > GridGain vs. H2 vs. Hazelcast vs. Sqrrl vs. TigerGraph

System Properties Comparison GridGain vs. H2 vs. Hazelcast vs. Sqrrl vs. TigerGraph

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonSqrrl  Xexclude from comparisonTigerGraph  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data gridAdaptable, secure NoSQL built on Apache AccumuloA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitewww.gridgain.comwww.h2database.comhazelcast.comsqrrl.comwww.tigergraph.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docsdocs.tigergraph.com
DeveloperGridGain Systems, Inc.Thomas MuellerHazelcastAmazon infooriginally Sqrrl Data, Inc.
Initial release20072005200820122017
Current releaseGridGain 8.5.12.2.220, July 20235.3.6, November 2023
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLJavaJavaJavaC++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
All OS with a Java VMAll OS with a Java VMLinuxLinux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Java Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Servicesnoyes
Triggersyes (cache interceptors and events)yesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardRole-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role-based access control

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More resources
GridGainH2HazelcastSqrrlTigerGraph
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