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DBMS > FoundationDB vs. Postgres-XL vs. Spark SQL vs. TDengine vs. TDSQL for MySQL

System Properties Comparison FoundationDB vs. Postgres-XL vs. Spark SQL vs. TDengine vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.postgres-xl.orgspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
www.tencentcloud.com/­products/­dcdb
Technical documentationapple.github.io/­foundationdbwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comwww.tencentcloud.com/­document/­product/­1042
DeveloperFoundationDBApache Software FoundationTDEngine, previously Taos DataTencent
Initial release20132014 infosince 2012, originally named StormDB201420192013
Current release6.2.28, November 202010 R1, October 20183.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CScalaC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Linux
OS X
Windows
Linux
Windows
hosted
Data schemeschema-free infosome layers support schemasyesyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyesyes
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.yes infoXML type, but no XML query functionalitynonono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infodistributed, parallel query executionSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functionsnonoyes
Triggersnoyesnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes, utilizing Spark CoreShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyesUsers with fine-grained authorization concept
More information provided by the system vendor
FoundationDBPostgres-XLSpark SQLTDengineTDSQL for MySQL
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
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More resources
FoundationDBPostgres-XLSpark SQLTDengineTDSQL for MySQL
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