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DBMS > AlaSQL vs. Citus vs. FoundationDB vs. Infobright vs. Tkrzw

System Properties Comparison AlaSQL vs. Citus vs. FoundationDB vs. Infobright vs. Tkrzw

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCitus  Xexclude from comparisonFoundationDB  Xexclude from comparisonInfobright  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionJavaScript DBMS libraryScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOrdered key-value store. Core features are complimented by layers.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitealasql.orgwww.citusdata.comgithub.com/­apple/­foundationdbignitetech.com/­softwarelibrary/­infobrightdbdbmx.net/­tkrzw
Technical documentationgithub.com/­AlaSQL/­alasqldocs.citusdata.comapple.github.io/­foundationdb
DeveloperAndrey Gershun & Mathias R. WulffFoundationDBIgnite Technologies Inc.; formerly InfoBright Inc.Mikio Hirabayashi
Initial release20142010201320052020
Current release8.1, December 20186.2.28, November 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCC++CC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Linux
Windows
Linux
macOS
Data schemeschema-freeyesschema-free infosome layers support schemasyesschema-free
Typing infopredefined data types such as float or datenoyesno infosome layers support typingyesno
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 functionalitynono
Secondary indexesnoyesnono infoKnowledge Grid Technology used instead
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infostandard, with numerous extensionssupported in specific SQL layer onlyyesno
APIs and other access methodsJavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.in SQL-layer onlynono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infousing specific database classes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno

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More resources
AlaSQLCitusFoundationDBInfobrightTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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