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DBMS > GridGain vs. OpenMLDB vs. STSdb vs. Transwarp StellarDB

System Properties Comparison GridGain vs. OpenMLDB vs. STSdb vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSTSdb  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open-source machine learning database that provides a feature platform for training and inferenceKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA distributed graph DBMS built for enterprise-level graph applications
Primary database modelKey-value store
Relational DBMS
Time Series DBMSKey-value storeGraph DBMS
Secondary database modelsRelational 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
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.gridgain.comopenmldb.aigithub.com/­STSSoft/­STSdb4www.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.gridgain.com/­docs/­index.htmlopenmldb.ai/­docs/­zh/­main
DeveloperGridGain Systems, Inc.4 Paradigm Inc.STS Soft SCTranswarp
Initial release200720202011
Current releaseGridGain 8.5.12024-2 February 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++, Java, ScalaC#
Server operating systemsLinux
OS X
Solaris
Windows
LinuxWindows
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnoSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
SQLAlchemy
.NET Client APIOpenCypher
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Scala
C#
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardnoyes

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More resources
GridGainOpenMLDBSTSdbTranswarp StellarDB
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