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DBMS > FatDB vs. InfinityDB vs. STSdb vs. Vitess

System Properties Comparison FatDB vs. InfinityDB vs. STSdb vs. Vitess

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonSTSdb  Xexclude from comparisonVitess  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 Java embedded Key-Value Store which extends the Java Map interfaceKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Key-value store
Key-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteboilerbay.comgithub.com/­STSSoft/­STSdb4vitess.io
Technical documentationboilerbay.com/­infinitydb/­manualvitess.io/­docs
DeveloperFatCloudBoiler Bay Inc.STS Soft SCThe Linux Foundation, PlanetScale
Initial release2012200220112013
Current release4.04.0.8, September 201515.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC#Go
Server operating systemsWindowsAll OS with a Java VMWindowsDocker
Linux
macOS
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes 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.no
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernonoyes infowith proprietary extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
.NET Client APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#JavaC#
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infovia applicationsnonoyes infoproprietary syntax
Triggersyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnonoUsers with fine-grained authorization concept infono user groups or roles

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More resources
FatDBInfinityDBSTSdbVitess
Recent citations in the news

Vitess, the database clustering system powering YouTube, graduates CNCF incubation
5 November 2019, SiliconANGLE News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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