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DBMS > FatDB vs. Sphinx vs. STSdb vs. SurrealDB

System Properties Comparison FatDB vs. Sphinx vs. STSdb vs. SurrealDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparisonSurrealDB  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.Open source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Search engineKey-value storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.98
Rank#56  Overall
#5  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitesphinxsearch.comgithub.com/­STSSoft/­STSdb4surrealdb.com
Technical documentationsphinxsearch.com/­docssurrealdb.com/­docs
DeveloperFatCloudSphinx Technologies Inc.STS Soft SCSurrealDB Ltd
Initial release2012200120112022
Current release3.5.1, February 20234.0.8, September 2015v1.1.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license availableOpen Source
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#C++C#Rust
Server operating systemsWindowsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
WindowsLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyes infoprimitive types and user defined types (classes)yes
Secondary indexesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language (SphinxQL)noSQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary protocol.NET Client APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infovia applicationsnono
Triggersyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnonoyes, based on authentication and database rules

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More resources
FatDBSphinxSTSdbSurrealDB
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