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DBMS > LeanXcale vs. OpenQM vs. Pinecone vs. Prometheus

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

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  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 databaseOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value store
Relational DBMS
Multivalue DBMSVector DBMSTime Series 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
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.leanxcale.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.ioprometheus.io
Technical documentationdocs.pinecone.io/­docs/­overviewprometheus.io/­docs
DeveloperLeanXcaleRocket Software, originally Martin PhillipsPinecone Systems, Inc
Initial release2015199320192015
Current release3.4-12
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedLinux
Windows
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateString, Number, BooleanNumeric data only
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 infoImport of XML data possible
Secondary indexesyesno
SQL infoSupport of SQLyes infothrough Apache Derbynonono
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesC
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Python.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesnono
User concepts infoAccess controlAccess rights can be defined down to the item levelno

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More resources
LeanXcaleOpenQM infoalso called QMPineconePrometheus
DB-Engines blog posts

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