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DBMS > FatDB vs. OpenTSDB vs. PlanetScale vs. Spark SQL

System Properties Comparison FatDB vs. OpenTSDB vs. PlanetScale vs. Spark SQL

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSpark SQL  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.Scalable Time Series DBMS based on HBaseScalable, distributed, serverless MySQL database platform built on top of VitessSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteopentsdb.netplanetscale.comspark.apache.org/­sql
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlplanetscale.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudcurrently maintained by Yahoo and other contributorsPlanetScaleApache Software Foundation
Initial release2012201120202014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoLGPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaGoScala
Server operating systemsWindowsLinux
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Telnet API
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Supported programming languagesC#Erlang
Go
Java
Python
R
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infoproprietary syntaxno
Triggersyes infovia applicationsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBaseEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.noyesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
FatDBOpenTSDBPlanetScaleSpark SQL
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