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DBMS > GeoMesa vs. HugeGraph vs. Ultipa

System Properties Comparison GeoMesa vs. HugeGraph vs. Ultipa

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHugeGraph  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelSpatial DBMSGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.geomesa.orggithub.com/­hugegraph
hugegraph.apache.org
www.ultipa.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docswww.ultipa.com/­document
DeveloperCCRi and othersBaiduUltipa
Initial release201420182019
Current release5.0.0, May 20240.9
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemsLinux
macOS
Unix
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.nono
Secondary indexesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobs
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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 storageUsers, roles and permissions

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More resources
GeoMesaHugeGraphUltipa
DB-Engines blog posts

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