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DBMS > GeoMesa vs. Splice Machine

System Properties Comparison GeoMesa vs. Splice Machine

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.15
Rank#216  Overall
#4  Spatial DBMS
Score0.83
Rank#253  Overall
#116  Relational DBMS
Websitewww.geomesa.orgsplicemachine.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldoc.splicemachine.com
DeveloperCCRi and othersSplice Machine
Initial release20142014
Current release4.0.1, April 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava
Server operating systemsLinux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJDBC
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 methodsyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
GeoMesaSplice Machine
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More resources
GeoMesaSplice Machine
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