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DBMS > FoundationDB vs. LevelDB vs. Postgres-XL vs. UniData,UniVerse

System Properties Comparison FoundationDB vs. LevelDB vs. Postgres-XL vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonUniData,UniVerse  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score3.47
Rank#93  Overall
#2  Multivalue DBMS
Websitegithub.com/­apple/­foundationdbgithub.com/­google/­leveldbwww.postgres-xl.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationapple.github.io/­foundationdbgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperFoundationDBGoogleRocket Software
Initial release201320112014 infosince 2012, originally named StormDB1985
Current release6.2.28, November 20201.23, February 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoMozilla public licensecommercial
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++CC
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingnoyesoptional
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 infoXML type, but no XML query functionality
Secondary indexesnonoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoyes infodistributed, parallel query executionyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresin SQL-layer onlynouser defined functionsyes
Triggersnonoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
FoundationDBLevelDBPostgres-XLUniData,UniVerse
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