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DBMS > GridDB vs. OpenMLDB vs. RavenDB

System Properties Comparison GridDB vs. OpenMLDB vs. RavenDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataAn open-source machine learning database that provides a feature platform for training and inferenceOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelTime Series DBMSTime Series DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.00
Rank#114  Overall
#9  Time Series DBMS
Score0.03
Rank#363  Overall
#38  Time Series DBMS
Score2.50
Rank#98  Overall
#17  Document stores
Websitegriddb.netopenmldb.airavendb.net
Technical documentationdocs.griddb.netopenmldb.ai/­docs/­zh/­mainravendb.net/­docs
DeveloperToshiba Corporation4 Paradigm Inc.Hibernating Rhinos
Initial release201320202010
Current release5.1, August 20222024-2 February 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Java, ScalaC#
Server operating systemsLinuxLinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyes 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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
SQLAlchemy
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAuthorization levels configured per client per database
More information provided by the system vendor
GridDBOpenMLDBRavenDB
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.

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More resources
GridDBOpenMLDBRavenDB
Recent citations in the news

Toshiba's GridDB® Cloud Database Service for Big Data and IoT is Now Available Globally
17 April 2025, acrofan.com

Toshiba’s GridDB cloud goes global: Powering the backbone of data-driven transformation - CRN
18 April 2025, India

Enterprise Edition with Improved Fault Tolerance and a New Affordable Monthly Plan for GridDB
15 October 2024, global.toshiba

Toshiba’s GridDB Cloud Database Service for Big Data and IoT is now available globally - CRN
17 April 2025, India

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8 April 2021, theregister.com

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13 June 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

Get To Know: Oren Eini, CEO, RavenDB
22 October 2019, Intelligent CIO

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