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DBMS > LeanXcale vs. OpenMLDB vs. OpenQM vs. Tigris

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

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA 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 DBMSA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value store
Relational DBMS
Time Series DBMSMultivalue DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitewww.leanxcale.comopenmldb.aiwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.tigrisdata.com
Technical documentationopenmldb.ai/­docs/­zh/­mainwww.tigrisdata.com/­docs
DeveloperLeanXcale4 Paradigm Inc.Rocket Software, originally Martin PhillipsTigris Data, Inc.
Initial release2015202019932022
Current release2024-2 February 20243.4-12
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, Scala
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Data schemeyesFixed schemayes infowith some exceptionsyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyesnono
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
SQLAlchemy
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
Java
Scala
C++
Go
Java
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess rights for users and roles

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More resources
LeanXcaleOpenMLDBOpenQM infoalso called QMTigris
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