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DBMS > GridDB vs. H2 vs. HBase vs. HugeGraph vs. Riak KV

System Properties Comparison GridDB vs. H2 vs. HBase vs. HugeGraph vs. Riak KV

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonH2  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Wide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSRelational DBMSWide column storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitegriddb.netwww.h2database.comhbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.griddb.netwww.h2database.com/­html/­main.htmlhbase.apache.org/­book.htmlhugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperToshiba CorporationThomas MuellerApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduOpenSource, formerly Basho Technologies
Initial release20132005200820182009
Current release5.1, August 20222.2.220, July 20232.3.4, January 20210.93.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2Open Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaJavaErlang
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Linux
OS X
Data schemeyesyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesoptions to bring your own types, AVROyesno
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.nonononono
Secondary indexesyesyesnoyes infoalso supports composite index and range indexrestricted
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesnonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes infoCoprocessors in Javaasynchronous Gremlin script jobsErlang
Triggersyesyesyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyesvia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graphno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsyes, using Riak Security
More information provided by the system vendor
GridDBH2HBaseHugeGraphRiak KV
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
GridDBH2HBaseHugeGraphRiak KV
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