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

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

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFirebolt  Xexclude from comparisonGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonPlanetScale  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.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseSpatial 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 Vitess
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.firebolt.iogeospock.comwww.jaguardb.complanetscale.com
Technical documentationdocs.firebolt.iowww.jaguardb.com/­support.htmlplanetscale.com/­docs
DeveloperFatCloudFirebolt Analytics Inc.GeoSpockDataJaguar, Inc.PlanetScale
Initial release2012202020152020
Current release2.0, September 20193.3 July 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnoyes
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 languagesGo
Server operating systemsWindowshostedhostedLinuxDocker
Linux
macOS
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infowith proprietary extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.Net
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#Go
JavaScript (Node.js)
Python
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
Server-side scripts infoStored proceduresyes infovia applicationsnononoyes infoproprietary syntax
Triggersyes infovia applicationsnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerMulti-source replicationMulti-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 ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID 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.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 roles

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More resources
FatDBFireboltGeoSpockJaguarDBPlanetScale
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