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DBMS > FatDB vs. Milvus vs. PlanetScale vs. STSdb vs. SwayDB

System Properties Comparison FatDB vs. Milvus vs. PlanetScale vs. STSdb vs. SwayDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonMilvus  Xexclude from comparisonPlanetScale  Xexclude from comparisonSTSdb  Xexclude from comparisonSwayDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A DBMS designed for efficient storage of vector data and vector similarity searchesScalable, distributed, serverless MySQL database platform built on top of VitessKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Vector DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitemilvus.ioplanetscale.comgithub.com/­STSSoft/­STSdb4swaydb.simer.au
Technical documentationmilvus.io/­docs/­overview.mdplanetscale.com/­docs
DeveloperFatCloudPlanetScaleSTS Soft SCSimer Plaha
Initial release20122019202020112018
Current release2.3.4, January 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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++, GoGoC#Scala
Server operating systemsWindowsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes 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.nono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyes infowith proprietary extensionsnono
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
Supported programming languagesC#C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infoproprietary syntaxnono
Triggersyes infovia applicationsnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
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.yesyesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole based access control and fine grained access rightsUsers with fine-grained authorization concept infono user groups or rolesnono
More information provided by the system vendor
FatDBMilvusPlanetScaleSTSdbSwayDB
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
FatDBMilvusPlanetScaleSTSdbSwayDB
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