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DBMS > FatDB vs. GeoSpock vs. JaguarDB vs. PlanetScale vs. Sphinx

System Properties Comparison FatDB vs. GeoSpock vs. JaguarDB vs. PlanetScale vs. Sphinx

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSphinx  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scalePerformant, highly scalable DBMS for AI and IoT applicationsScalable, distributed, serverless MySQL database platform built on top of VitessOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Vector DBMS
Relational DBMSSearch engine
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegeospock.comwww.jaguardb.complanetscale.comsphinxsearch.com
Technical documentationwww.jaguardb.com/­support.htmlplanetscale.com/­docssphinxsearch.com/­docs
DeveloperFatCloudGeoSpockDataJaguar, Inc.PlanetScaleSphinx Technologies Inc.
Initial release2012201520202001
Current release2.0, September 20193.3 July 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, JavascriptC++ infothe server part. Clients available in other languagesGoC++
Server operating systemsWindowshostedLinuxDocker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyestemporal, categoricalyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infowith proprietary extensionsSQL-like query language (SphinxQL)
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCJDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Proprietary protocol
Supported programming languagesC#C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infovia applicationsnonoyes infoproprietary syntaxno
Triggersyes infovia applicationsnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tablerights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
FatDBGeoSpockJaguarDBPlanetScaleSphinx
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