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

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

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonTDengine  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 VitessTime Series DBMS and big data platform
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Relational 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
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegeospock.comwww.jaguardb.complanetscale.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.jaguardb.com/­support.htmlplanetscale.com/­docsdocs.tdengine.com
DeveloperFatCloudGeoSpockDataJaguar, Inc.PlanetScaleTDEngine, previously Taos Data
Initial release2012201520202019
Current release2.0, September 20193.3 July 20233.0, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0commercialOpen Source infoAGPL V3, also commercial editions 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
Linux
Windows
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.nonono
Secondary indexesyestemporal, categoricalyesyesno
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 extensionsStandard SQL with extensions for time-series applications
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCJDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
RESTful HTTP API
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
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infovia applicationsnonoyes infoproprietary syntaxno
Triggersyes infovia applicationsnonoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationMulti-source replication
Source-replica replication
yes
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 engineno
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 engineyes
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.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 rolesyes
More information provided by the system vendor
FatDBGeoSpockJaguarDBPlanetScaleTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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More resources
FatDBGeoSpockJaguarDBPlanetScaleTDengine
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