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DBMS > Bangdb vs. GridDB vs. TigerGraph vs. Tkrzw

System Properties Comparison Bangdb vs. GridDB vs. TigerGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGridDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable in-memory time series database optimized for IoT and Big DataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA 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 modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSGraph DBMSKey-value store
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitebangdb.comgriddb.netwww.tigergraph.comdbmx.net/­tkrzw
Technical documentationdocs.bangdb.comdocs.griddb.netdocs.tigergraph.com
DeveloperSachin Sinha, BangDBToshiba CorporationMikio Hirabayashi
Initial release2012201320172020
Current releaseBangDB 2.0, October 20215.1, August 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++C++
Server operating systemsLinuxLinuxLinuxLinux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infonumerical, string, blob, geometry, boolean, timestampyesno
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLSQL like support with command line toolSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (GSQL)no
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesnoyes infousing specific database classes
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databaseRole-based access controlno
More information provided by the system vendor
BangdbGridDBTigerGraphTkrzw 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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BangdbGridDBTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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