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DBMS > LeanXcale vs. OpenQM vs. Pinecone vs. SpatiaLite

System Properties Comparison LeanXcale vs. OpenQM vs. Pinecone vs. SpatiaLite

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesQpenQM is a high-performance, self-tuning, multi-value DBMSA managed, cloud-native vector databaseSpatial extension of SQLite
Primary database modelKey-value store
Relational DBMS
Multivalue DBMSVector DBMSSpatial 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
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.leanxcale.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.iowww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.pinecone.io/­docs/­overviewwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperLeanXcaleRocket Software, originally Martin PhillipsPinecone Systems, IncAlessandro Furieri
Initial release2015199320192008
Current release3.4-125.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedserver-less
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateString, Number, Booleanyes
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.yesnono
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbynonoyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesC
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Python
Server-side scripts infoStored proceduresyesno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesnoyes
User concepts infoAccess controlAccess rights can be defined down to the item levelno

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More resources
LeanXcaleOpenQM infoalso called QMPineconeSpatiaLite
DB-Engines blog posts

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