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DBMS > GeoMesa vs. GeoSpock vs. HugeGraph vs. RethinkDB vs. Titan

System Properties Comparison GeoMesa vs. GeoSpock vs. HugeGraph vs. RethinkDB vs. Titan

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparisonHugeGraph  Xexclude from comparisonRethinkDB  Xexclude from comparisonTitan  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scaleA fast-speed and highly-scalable Graph DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelSpatial DBMSRelational DBMSGraph DBMSDocument storeGraph DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.geomesa.orggeospock.comgithub.com/­hugegraph
hugegraph.apache.org
rethinkdb.comgithub.com/­thinkaurelius/­titan
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docsrethinkdb.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperCCRi and othersGeoSpockBaiduThe Linux Foundation infosince July 2017Aurelius, owned by DataStax
Initial release2014201820092012
Current release4.0.5, February 20242.0, September 20190.92.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava, JavascriptJavaC++Java
Server operating systemshostedLinux
macOS
Unix
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometryyes
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.nononono
Secondary indexesyestemporal, categoricalyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)nonono
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGroovy
Java
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsyes
TriggersnononoClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding inforange basedyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnovia hugegraph-sparkyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per tableUsers, roles and permissionsyes infousers and table-level permissionsUser authentification and security via Rexster Graph Server

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More resources
GeoMesaGeoSpockHugeGraphRethinkDBTitan
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