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DBMS > FeatureBase vs. LeanXcale vs. OpenQM vs. Valentina Server

System Properties Comparison FeatureBase vs. LeanXcale vs. OpenQM vs. Valentina Server

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonLeanXcale  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesQpenQM is a high-performance, self-tuning, multi-value DBMSObject-relational database and reports server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Multivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.featurebase.comwww.leanxcale.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.valentina-db.net
Technical documentationdocs.featurebase.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMolecula and Pilosa Open Source ContributorsLeanXcaleRocket Software, originally Martin PhillipsParadigma Software
Initial release2017201519931999
Current release2022, May 20223.4-125.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended 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 languageGo
Server operating systemsLinux
macOS
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes 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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL queriesyes infothrough Apache Derbynoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ODBC
Supported programming languagesJava
Python
C
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
FeatureBaseLeanXcaleOpenQM infoalso called QMValentina Server
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