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DBMS > BigObject vs. GeoMesa vs. Milvus vs. STSdb vs. Typesense

System Properties Comparison BigObject vs. GeoMesa vs. Milvus vs. STSdb vs. Typesense

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGeoMesa  Xexclude from comparisonMilvus  Xexclude from comparisonSTSdb  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesGeoMesa 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 searchesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSpatial DBMSVector DBMSKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.76
Rank#219  Overall
#14  Search engines
Websitebigobject.iowww.geomesa.orgmilvus.iogithub.com/­STSSoft/­STSdb4typesense.org
Technical documentationdocs.bigobject.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdtypesense.org/­docs
DeveloperBigObject, Inc.CCRi and othersSTS Soft SC
Initial release20152014201920112015
Current release5.0.0, May 20242.3.4, January 20244.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, commercial license availableOpen Source infoGPL V3
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++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsLinux
Data schemeyesyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes infoprimitive types and user defined types (classes)yes
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 indexesyesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP API.NET Client APIRESTful HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C#
Java
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresLuanononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layernoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesdepending on storage layeryesyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageRole based access control and fine grained access rightsno
More information provided by the system vendor
BigObjectGeoMesaMilvusSTSdbTypesense
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...
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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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BigObjectGeoMesaMilvusSTSdbTypesense
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