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DBMS > JSqlDb vs. LeanXcale vs. OpenQM vs. Pinecone

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

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Editorial information provided by DB-Engines
NameJSqlDb  Xexclude from comparisonLeanXcale  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionJavaScript Query Language Database, stores JavaScript objects and primitivesA 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 database
Primary database modelDocument store
Object oriented DBMS
Key-value store
Relational DBMS
Multivalue DBMSVector 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
Websitejsqldb.org (offline)www.leanxcale.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.io
Technical documentationdocs.pinecone.io/­docs/­overview
DeveloperKonrad von BackstromLeanXcaleRocket Software, originally Martin PhillipsPinecone Systems, Inc
Initial release2018201519932019
Current release0.8, December 20183.4-12
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsLinux
macOS
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hosted
Data schemeschema-freeyesyes infowith some exceptions
Typing infopredefined data types such as float or datenoString, Number, Boolean
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 indexesnoyes
SQL infoSupport of SQLnoyes infothrough Apache Derbynono
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesJavaScriptC
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Python
Server-side scripts infoStored proceduresfunctions in JavaScriptyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing RocksDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights can be defined down to the item level

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More resources
JSqlDbLeanXcaleOpenQM infoalso called QMPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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