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DBMS > GridDB vs. Hive vs. Ignite vs. TerminusDB vs. Tkrzw

System Properties Comparison GridDB vs. Hive vs. Ignite vs. TerminusDB vs. Tkrzw

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big Datadata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegriddb.nethive.apache.orgignite.apache.orgterminusdb.comdbmx.net/­tkrzw
Technical documentationdocs.griddb.netcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperToshiba CorporationApache Software Foundation infoinitially developed by FacebookApache Software FoundationDataChemist Ltd.Mikio Hirabayashi
Initial release20132012201520182020
Current release5.1, August 20223.1.3, April 2022Apache Ignite 2.611.0.0, January 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPL V3Open Source infoApache Version 2.0
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++JavaC++, Java, .NetProlog, RustC++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyesno
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)no
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)yesno
Triggersyesnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes (replicated cache)Journaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and rolesSecurity Hooks for custom implementationsRole-based access controlno
More information provided by the system vendor
GridDBHiveIgniteTerminusDB infoformer name was DataChemistTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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GridDBHiveIgniteTerminusDB infoformer name was DataChemistTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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