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DBMS > FoundationDB vs. Ingres vs. NSDb vs. Spark SQL

System Properties Comparison FoundationDB vs. Ingres vs. NSDb vs. Spark SQL

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonIngres  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Well established RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMSRelational 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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.actian.com/­databases/­ingresnsdb.iospark.apache.org/­sql
Technical documentationapple.github.io/­foundationdbdocs.actian.com/­ingresnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFoundationDBActian CorporationApache Software Foundation
Initial release20131974 infooriginally developed at University Berkely in early 1970s20172014
Current release6.2.28, November 202011.2, May 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava, ScalaScala
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes: int, bigint, decimal, stringyes
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.no infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyesall fields are automatically indexedno
SQL infoSupport of SQLsupported in specific SQL layer onlyyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyyesnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
FoundationDBIngresNSDbSpark SQL
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