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DBMS > GeoMesa vs. HugeGraph vs. OushuDB

System Properties Comparison GeoMesa vs. HugeGraph vs. OushuDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHugeGraph  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelSpatial DBMSGraph DBMSRelational 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
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websitewww.geomesa.orggithub.com/­hugegraph
hugegraph.apache.org
www.oushu.com/­product/­oushuDB
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docswww.oushu.com/­documentation
DeveloperCCRi and othersBaiduOushu
Initial release20142018
Current release5.0.0, May 20240.94.0.1, August 2020
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
Linux
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 indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoFull-featured ANSI SQL support
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
C
C++
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseyes
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-sparkHadoop integration
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 datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageUsers, roles and permissionsKerberos, SSL and role based access

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More resources
GeoMesaHugeGraphOushuDB
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