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DBMS > GreptimeDB vs. GridDB vs. Tkrzw vs. VelocityDB

System Properties Comparison GreptimeDB vs. GridDB vs. Tkrzw vs. VelocityDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonGridDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyScalable in-memory time series database optimized for IoT and Big DataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSTime Series DBMSKey-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegreptime.comgriddb.netdbmx.net/­tkrzwvelocitydb.com
Technical documentationdocs.greptime.comdocs.griddb.netvelocitydb.com/­UserGuide
DeveloperGreptime Inc.Toshiba CorporationMikio HirabayashiVelocityDB Inc
Initial release2022201320202011
Current release5.1, August 20220.9.3, August 20207.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0commercial
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 languageRustC++C++C#
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
macOS
Any that supports .NET
Data schemeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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 indexesyesyesyes
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.Net
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresPythonnonono
TriggersyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-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 jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID
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.yesyes infousing specific database classesyes
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users can be defined per databasenoBased on Windows Authentication
More information provided by the system vendor
GreptimeDBGridDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVelocityDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
GitHub trending repository
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GreptimeDBGridDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVelocityDB
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