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DBMS > GeoMesa vs. Kyligence Enterprise vs. Splice Machine

System Properties Comparison GeoMesa vs. Kyligence Enterprise vs. Splice Machine

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A distributed analytics engine for big data, built on top of Apache KylinOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.geomesa.orgkyligence.io/­kyligence-enterprisesplicemachine.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlsplicemachine.com/­how-it-works
DeveloperCCRi and othersKyligence, Inc.Splice Machine
Initial release201420162014
Current release5.0.0, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles according to SQL-standard

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More resources
GeoMesaKyligence EnterpriseSplice Machine
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