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

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

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGridDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Scalable in-memory time series database optimized for IoT and Big DataSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLite
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsKey-value store
Relational 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
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitegithub.com/­apple/­foundationdbgriddb.netspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationapple.github.io/­foundationdbdocs.griddb.netspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperFoundationDBToshiba CorporationApache Software FoundationAlessandro Furieri
Initial release2013201320142008
Current release6.2.28, November 20205.1, August 20223.5.0 ( 2.13), September 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ScalaC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
server-less
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresin SQL-layer onlynonono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes
User concepts infoAccess controlnoAccess rights for users can be defined per databasenono
More information provided by the system vendor
FoundationDBGridDBSpark SQLSpatiaLite
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
FoundationDBGridDBSpark SQLSpatiaLite
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