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DBMS > gStore vs. Milvus vs. Quasardb vs. STSdb

System Properties Comparison gStore vs. Milvus vs. Quasardb vs. STSdb

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.A DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, high-performance timeseries databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Vector DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteen.gstore.cnmilvus.ioquasar.aigithub.com/­STSSoft/­STSdb4
Technical documentationen.gstore.cn/­#/­enDocsmilvus.io/­docs/­overview.mddoc.quasar.ai/­master
DeveloperquasardbSTS Soft SC
Initial release2016201920092011
Current release1.2, November 20232.3.4, January 20243.14.1, January 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPLv2, commercial license available
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C++, GoC++C#
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
Windows
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes infointeger and binaryyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesnoyes infowith tagsno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsHTTP API
SPARQL 1.1
RESTful HTTP APIHTTP API.NET Client API
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
Server-side scripts infoStored proceduresyesnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailno
More information provided by the system vendor
gStoreMilvusQuasardbSTSdb
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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gStoreMilvusQuasardbSTSdb
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