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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebird  Xexclude from comparisonHeroic  Xexclude from comparisonKdb  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.
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 InterBaseTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitewww.firebirdsql.orggithub.com/­spotify/­heroickx.comwww.kinetica.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsspotify.github.io/­heroiccode.kx.comdocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerFirebird FoundationSpotifyKx Systems, a division of First Derivatives plcKinetica
Initial release20082000 infoAs fork of Borland's InterBase20142000 infokdb was released 2000, kdb+ in 20032012
Current release7.2.4, September 20125.0.1, August 20243.6, May 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0commercial infofree 32-bit versioncommercial
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 and C++JavaqC, 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
Solaris
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesyesyesyes infovia Elasticsearchyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoSQL-like query language (q)SQL-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
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPSQLnouser defined functionsuser defined functions
Triggersno infohooks for callbacks inside the server can be used.yesnoyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptrights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
DrizzleFirebirdHeroicKdbKinetica
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
DrizzleFirebirdHeroicKdbKinetica
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