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DBMS > FoundationDB vs. Google Cloud Bigtable vs. SpatiaLite vs. Trino

System Properties Comparison FoundationDB vs. Google Cloud Bigtable vs. SpatiaLite vs. Trino

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTrino  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of SQLiteFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Wide column store
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitegithub.com/­apple/­foundationdbcloud.google.com/­bigtablewww.gaia-gis.it/­fossil/­libspatialite/­indextrino.io
Technical documentationapple.github.io/­foundationdbcloud.google.com/­bigtable/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmltrino.io/­broadcast
trino.io/­docs/­current
DeveloperFoundationDBGoogleAlessandro FurieriTrino Software Foundation
Initial release2013201520082012 info2020 rebranded from PrestoSQL
Current release6.2.28, November 20205.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemsLinux
OS X
Windows
hostedserver-lessLinux
macOS infofor devlopment
Data schemeschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingnoyesyes
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 indexesnonoyesdepending on connected data-source
SQL infoSupport of SQLsupported in specific SQL layer onlynoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynonoyes, depending on connected data-source
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)depending on connected data-source
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noSQL standard access control
More information provided by the system vendor
FoundationDBGoogle Cloud BigtableSpatiaLiteTrino
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More resources
FoundationDBGoogle Cloud BigtableSpatiaLiteTrino
DB-Engines blog posts

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FoundationDB team’s new venture, Antithesis, raises $47M to enhance software testing
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