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DBMS > AgensGraph vs. GridDB vs. RocksDB vs. UniData,UniVerse

System Properties Comparison AgensGraph vs. GridDB vs. RocksDB vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGridDB  Xexclude from comparisonRocksDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable in-memory time series database optimized for IoT and Big DataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSKey-value storeMultivalue DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitebitnine.net/­agensgraphgriddb.netrocksdb.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationbitnine.net/­documentationdocs.griddb.netgithub.com/­facebook/­rocksdb/­wikidocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperBitnine Global Inc.Toshiba CorporationFacebook, Inc.Rocket Software
Initial release2016201320131985
Current release2.1, December 20185.1, August 20228.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++C
Server operating systemsLinux
OS X
Windows
LinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemedepending on used data modelyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnooptional
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 indexesyesyesnoyes
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)noyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Java API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
Java
JavaScript
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesnonoyes
Triggersnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelyesACID infoconfigurable
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasenoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
AgensGraphGridDBRocksDBUniData,UniVerse
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AgensGraphGridDBRocksDBUniData,UniVerse
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