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DBMS > AgensGraph vs. GeoMesa vs. Hive vs. TerarkDB

System Properties Comparison AgensGraph vs. GeoMesa vs. Hive vs. TerarkDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonHive  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.data warehouse software for querying and managing large distributed datasets, built on HadoopA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
Relational DBMS
Spatial DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitebitnine.net/­agensgraphwww.geomesa.orghive.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationbitnine.net/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBitnine Global Inc.CCRi and othersApache Software Foundation infoinitially developed by FacebookByteDance, originally Terark
Initial release2016201420122016
Current release2.1, December 20185.0.0, May 20243.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache License 2.0Open Source infoApache Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Thrift
C++ API
Java API
Supported programming languagesC
Java
JavaScript
Python
C++
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancedepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layerselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageAccess rights for users, groups and rolesno

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More resources
AgensGraphGeoMesaHiveTerarkDB
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