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DBMS > Axibase vs. GeoSpock vs. GridDB vs. HugeGraph vs. Postgres-XL

System Properties Comparison Axibase vs. GeoSpock vs. GridDB vs. HugeGraph vs. Postgres-XL

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationSpatial and temporal data processing engine for extreme data scaleScalable in-memory time series database optimized for IoT and Big DataA fast-speed and highly-scalable Graph DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financegeospock.comgriddb.netgithub.com/­hugegraph
hugegraph.apache.org
www.postgres-xl.org
Technical documentationdocs.griddb.nethugegraph.apache.org/­docswww.postgres-xl.org/­documentation
DeveloperAxibase CorporationGeoSpockToshiba CorporationBaidu
Initial release2013201320182014 infosince 2012, originally named StormDB
Current release155852.0, September 20195.1, August 20220.910 R1, October 2018
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0Open Source infoMozilla public license
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 languageJavaJava, JavascriptC++JavaC
Server operating systemsLinuxhostedLinuxLinux
macOS
Unix
Linux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnotemporal, categoricalyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)noyes infodistributed, parallel query execution
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnonoasynchronous Gremlin script jobsuser defined functions
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users can be defined per databaseUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
AxibaseGeoSpockGridDBHugeGraphPostgres-XL
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
AxibaseGeoSpockGridDBHugeGraphPostgres-XL
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