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DBMS > FoundationDB vs. Spark SQL vs. SpatiaLite vs. Sphinx

System Properties Comparison FoundationDB vs. Spark SQL vs. SpatiaLite vs. Sphinx

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSphinx  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 processingSpatial extension of SQLiteOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSSpatial DBMSSearch engine
Secondary database modelsRelational 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
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­apple/­foundationdbspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexsphinxsearch.com
Technical documentationapple.github.io/­foundationdbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsphinxsearch.com/­docs
DeveloperFoundationDBApache Software FoundationAlessandro FurieriSphinx Technologies Inc.
Initial release2013201420082001
Current release6.2.28, November 20203.5.0 ( 2.13), September 20235.0.0, August 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-lessFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesno
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 indexesnonoyesyes infofull-text index on all search fields
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin SQL-layer onlynonono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CorenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnononono

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More resources
FoundationDBSpark SQLSpatiaLiteSphinx
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