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DBMS > FeatureBase vs. GridDB vs. OpenQM vs. OrigoDB vs. VelocityDB

System Properties Comparison FeatureBase vs. GridDB vs. OpenQM vs. OrigoDB vs. VelocityDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGridDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOrigoDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Scalable in-memory time series database optimized for IoT and Big DataQpenQM is a high-performance, self-tuning, multi-value DBMSA fully ACID in-memory object graph databaseA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSTime Series DBMSMultivalue DBMSDocument store
Object oriented DBMS
Graph DBMS
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.featurebase.comgriddb.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmorigodb.comvelocitydb.com
Technical documentationdocs.featurebase.comdocs.griddb.netorigodb.com/­docsvelocitydb.com/­UserGuide
DeveloperMolecula and Pilosa Open Source ContributorsToshiba CorporationRocket Software, originally Martin PhillipsRobert Friberg et alVelocityDB Inc
Initial release2017201319932009 infounder the name LiveDB2011
Current release2022, May 20225.1, August 20223.4-127.x
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPLv2, extended commercial license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C#C#
Server operating systemsLinux
macOS
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Any that supports .NET
Data schemeyesyesyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NETno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesSQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
.Net
Supported programming languagesJava
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
.Net.Net
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesyesyes infoDomain EventsCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes infoWrite ahead logyes
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 databaseAccess rights can be defined down to the item levelRole based authorizationBased on Windows Authentication
More information provided by the system vendor
FeatureBaseGridDBOpenQM infoalso called QMOrigoDBVelocityDB
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
FeatureBaseGridDBOpenQM infoalso called QMOrigoDBVelocityDB
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