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DBMS > FoundationDB vs. Spark SQL vs. Tigris vs. Transbase

System Properties Comparison FoundationDB vs. Spark SQL vs. Tigris vs. Transbase

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigris  Xexclude from comparisonTransbase  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Spark SQL is a component on top of 'Spark Core' for structured data processingA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Relational 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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitegithub.com/­apple/­foundationdbspark.apache.org/­sqlwww.tigrisdata.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationapple.github.io/­foundationdbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tigrisdata.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperFoundationDBApache Software FoundationTigris Data, Inc.Transaction Software GmbH
Initial release2013201420221987
Current release6.2.28, November 20203.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresin SQL-layer onlynonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
FoundationDBSpark SQLTigrisTransbase
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