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DBMS > Kyligence Enterprise vs. LeanXcale vs. OrigoDB vs. PostGIS vs. Prometheus

System Properties Comparison Kyligence Enterprise vs. LeanXcale vs. OrigoDB vs. PostGIS vs. Prometheus

Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonLeanXcale  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostGIS  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph databaseSpatial extension of PostgreSQLOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
Spatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitekyligence.io/­kyligence-enterprisewww.leanxcale.comorigodb.compostgis.netprometheus.io
Technical documentationorigodb.com/­docspostgis.net/­documentationprometheus.io/­docs
DeveloperKyligence, Inc.LeanXcaleRobert Friberg et al
Initial release201620152009 infounder the name LiveDB20052015
Current release3.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#CGo
Server operating systemsLinuxLinux
Windows
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesNumeric 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.nono infocan be achieved using .NETyesno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infothrough Apache Derbynoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON API
Supported programming languagesC
Java
Scala
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesdepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlRole based authorizationyes infobased on PostgreSQLno

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More resources
Kyligence EnterpriseLeanXcaleOrigoDBPostGISPrometheus
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