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DBMS > FatDB vs. GeoMesa vs. Hypertable vs. Milvus vs. SiteWhere

System Properties Comparison FatDB vs. GeoMesa vs. Hypertable vs. Milvus vs. SiteWhere

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparisonSiteWhere  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.An open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searchesM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Spatial DBMSWide column storeVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.geomesa.orgmilvus.iogithub.com/­sitewhere/­sitewhere
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlmilvus.io/­docs/­overview.mdsitewhere1.sitewhere.io/­index.html
DeveloperFatCloudCCRi and othersHypertable Inc.SiteWhere
Initial release20122014200920192010
Current release4.0.5, February 20240.9.8.11, March 20162.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
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 languageC#ScalaC++C++, GoJava
Server operating systemsWindowsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeschema-freeyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesnoVector, 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.nonono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansnono
SQL infoSupport of SQLno infoVia inetgration in SQL Servernononono
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
C++ API
Thrift
RESTful HTTP APIHTTP REST
Supported programming languagesC#C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infovia applicationsnonono
Triggersyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerselectable replication factor on file system levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
depending on storage layerImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.depending on storage layeryesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyes infodepending on the DBMS used for storagenoRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
FatDBGeoMesaHypertableMilvusSiteWhere
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
FatDBGeoMesaHypertableMilvusSiteWhere
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