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DBMS > GeoSpock vs. JaguarDB vs. Milvus vs. OpenQM vs. Valentina Server

System Properties Comparison GeoSpock vs. JaguarDB vs. Milvus vs. OpenQM vs. Valentina Server

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonMilvus  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonValentina Server  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scalePerformant, highly scalable DBMS for AI and IoT applicationsA DBMS designed for efficient storage of vector data and vector similarity searchesQpenQM is a high-performance, self-tuning, multi-value DBMSObject-relational database and reports server
Primary database modelRelational DBMSKey-value store
Vector DBMS
Vector DBMSMultivalue DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegeospock.comwww.jaguardb.commilvus.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.valentina-db.net
Technical documentationwww.jaguardb.com/­support.htmlmilvus.io/­docs/­overview.mdvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGeoSpockDataJaguar, Inc.Rocket Software, originally Martin PhillipsParadigma Software
Initial release2015201919931999
Current release2.0, September 20193.3 July 20232.3.4, January 20243.4-125.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJava, JavascriptC++ infothe server part. Clients available in other languagesC++, Go
Server operating systemshostedLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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.nononoyes
Secondary indexestemporal, categoricalyesnoyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnonoyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP APIODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users can be defined per tablerights management via user accountsRole based access control and fine grained access rightsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoSpockJaguarDBMilvusOpenQM infoalso called QMValentina Server
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
GeoSpockJaguarDBMilvusOpenQM infoalso called QMValentina Server
DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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Cambridge-based data analytics startup GeoSpock lands €4.6 million
2 October 2020, EU-Startups

nChain leads investment round in extreme-scale data firm GeoSpock
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9 April 2024, ibm.com

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A Look at Valentina — SitePoint
18 April 2014, SitePoint

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7 December 2018, H2S Media

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