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DBMS > Blueflood vs. FoundationDB vs. PostgreSQL vs. Splice Machine

System Properties Comparison Blueflood vs. FoundationDB vs. PostgreSQL vs. Splice Machine

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFoundationDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSplice Machine  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionScalable TimeSeries DBMS based on CassandraOrdered key-value store. Core features are complimented by layers.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteblueflood.iogithub.com/­apple/­foundationdbwww.postgresql.orgsplicemachine.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiapple.github.io/­foundationdbwww.postgresql.org/­docssplicemachine.com/­how-it-works
DeveloperRackspaceFoundationDBPostgreSQL Global Development Group infowww.postgresql.org/­developerSplice Machine
Initial release201320131989 info1989: Postgres, 1996: PostgreSQL2014
Current release6.2.28, November 202016.3, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CJava
Server operating systemsLinux
OS X
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemepredefined schemeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnonoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyes infostandard with numerous extensionsyes
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlyuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingpartitioning by range, list and (since PostgreSQL 11) by hashShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Linearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
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