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DBMS > GridGain vs. LeanXcale vs. OpenMLDB vs. OpenQM

System Properties Comparison GridGain vs. LeanXcale vs. OpenMLDB vs. OpenQM

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLeanXcale  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesAn open-source machine learning database that provides a feature platform for training and inferenceQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Time Series DBMSMultivalue 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
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitewww.gridgain.comwww.leanxcale.comopenmldb.aiwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationwww.gridgain.com/­docs/­index.htmlopenmldb.ai/­docs/­zh/­main
DeveloperGridGain Systems, Inc.LeanXcale4 Paradigm Inc.Rocket Software, originally Martin Phillips
Initial release2007201520201993
Current releaseGridGain 8.5.12024-2 February 20243.4-12
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++, Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesFixed schemayes infowith some exceptions
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infothrough Apache Derbyyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
SQLAlchemy
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
Java
Scala
C++
Go
Java
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
GridGainLeanXcaleOpenMLDBOpenQM infoalso called QM
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