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DBMS > FatDB vs. FoundationDB vs. Interbase vs. Postgres-XL vs. RisingWave

System Properties Comparison FatDB vs. FoundationDB vs. Interbase vs. Postgres-XL vs. RisingWave

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonInterbase  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRisingWave  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Ordered key-value store. Core features are complimented by layers.Light-weight proven RDBMS infooriginally from BorlandBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelDocument store
Key-value store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.embarcadero.com/­products/­interbasewww.postgres-xl.orgwww.risingwave.com/­database
Technical documentationapple.github.io/­foundationdbdocs.embarcadero.com/­products/­interbasewww.postgres-xl.org/­documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperFatCloudFoundationDBEmbarcaderoRisingWave Labs
Initial release2012201319842014 infosince 2012, originally named StormDB2022
Current release6.2.28, November 2020InterBase 2020, December 201910 R1, October 20181.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++CCRust
Server operating systemsWindowsLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux
macOS
Docker
Linux
macOS
Data schemeschema-freeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesStandard SQL-types and JSON
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 infoexport as XML data possibleyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serversupported in specific SQL layer onlyyesyes infodistributed, parallel query executionyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
Supported programming languagesC#.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infovia applicationsin SQL-layer onlyyes infoInterbase procedure and trigger languageuser defined functionsUDFs in Python or Java
Triggersyes infovia applicationsnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Linearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and Roles

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More resources
FatDBFoundationDBInterbasePostgres-XLRisingWave
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