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DBMS > GeoMesa vs. Milvus vs. Quasardb vs. STSdb vs. Tkrzw

System Properties Comparison GeoMesa vs. Milvus vs. Quasardb vs. STSdb vs. Tkrzw

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonSTSdb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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 methodA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSpatial DBMSVector DBMSTime Series DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.geomesa.orgmilvus.ioquasar.aigithub.com/­STSSoft/­STSdb4dbmx.net/­tkrzw
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mddoc.quasar.ai/­master
DeveloperCCRi and othersquasardbSTS Soft SCMikio Hirabayashi
Initial release20142019200920112020
Current release5.0.1, July 20242.4.4, May 20243.14.1, January 20244.0.8, September 20150.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageScalaC++, GoC++C#C++
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
WindowsLinux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes infointeger and binaryyes infoprimitive types and user defined types (classes)no
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 indexesyesnoyes infowith tagsno
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIHTTP API.NET Client API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replication with selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes infoTransient modeyes infousing specific database classes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailnono
More information provided by the system vendor
GeoMesaMilvusQuasardbSTSdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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
GeoMesaMilvusQuasardbSTSdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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