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DBMS > GridGain vs. Microsoft Azure Table Storage vs. openGauss vs. TigerGraph vs. TinkerGraph

System Properties Comparison GridGain vs. Microsoft Azure Table Storage vs. openGauss vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonopenGauss  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA Wide Column Store for rapid development using massive semi-structured datasetsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Wide column storeRelational DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­storage/­tablesgitee.com/­opengauss
opengauss.org
www.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.tigergraph.com
DeveloperGridGain Systems, Inc.MicrosoftHuawei and openGauss community
Initial release20072012201920172009
Current releaseGridGain 8.5.13.0, March 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC, C++, JavaC++Java
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinuxLinux
Data schemeyesschema-freeyesyesschema-free
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.yesnononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoANSI SQL 2011SQL-like query language (GSQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesyesno
Triggersyes (cache interceptors and events)noyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACIDno
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.yesnononoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standardRole-based access controlno

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More resources
GridGainMicrosoft Azure Table StorageopenGaussTigerGraphTinkerGraph
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