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DBMS > Drizzle vs. Firebird vs. FoundationDB vs. Heroic vs. Kinetica

System Properties Comparison Drizzle vs. Firebird vs. FoundationDB vs. Heroic vs. Kinetica

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebird  Xexclude from comparisonFoundationDB  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Firebird is an open source RDBMS forked from Borland's InterBaseOrdered key-value store. Core features are complimented by layers.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.firebirdsql.orggithub.com/­apple/­foundationdbgithub.com/­spotify/­heroicwww.kinetica.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsapple.github.io/­foundationdbspotify.github.io/­heroicdocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerFirebird FoundationFoundationDBSpotifyKinetica
Initial release20082000 infoAs fork of Borland's InterBase201320142012
Current release7.2.4, September 20125.0.0, January 20246.2.28, November 20207.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++JavaC, C++
Server operating systemsFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesno 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.nono
Secondary indexesyesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLyes infowith proprietary extensionsyessupported in specific SQL layer onlynoSQL-like DML and DDL statements
APIs and other access methodsJDBCADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPSQLin SQL-layer onlynouser defined functions
Triggersno infohooks for callbacks inside the server can be used.yesnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptnoAccess rights for users and roles on table level

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More resources
DrizzleFirebirdFoundationDBHeroicKinetica
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