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

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

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  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.An open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDBM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Wide column storeVector DBMSDocument storeTime Series DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitemilvus.iorockset.comgithub.com/­sitewhere/­sitewhere
Technical documentationmilvus.io/­docs/­overview.mddocs.rockset.comsitewhere1.sitewhere.io/­index.html
DeveloperFatCloudHypertable Inc.RocksetSiteWhere
Initial release20122009201920192010
Current release0.9.8.11, March 20162.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
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++C++, GoC++Java
Server operating systemsWindowsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesnoVector, Numeric and Stringdynamic typingyes
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.nono infoingestion from XML files supportedno
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoall fields are automatically indexedno
SQL infoSupport of SQLno infoVia inetgration in SQL ServernonoRead-only SQL queries, including JOINsno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
C++ API
Thrift
RESTful HTTP APIHTTP RESTHTTP REST
Supported programming languagesC#C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
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 nodesShardingShardingShardingAutomatic shardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate 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.yesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept
More information provided by the system vendor
FatDBHypertableMilvusRocksetSiteWhere
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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FatDBHypertableMilvusRocksetSiteWhere
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