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DBMS > Firebird vs. Splice Machine

System Properties Comparison Firebird vs. Splice Machine

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.71
Rank#29  Overall
#16  Relational DBMS
Score0.71
Rank#201  Overall
#101  Relational DBMS
Websitewww.firebirdsql.orgsplicemachine.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdoc.splicemachine.com
DeveloperFirebird FoundationSplice Machine
Initial release2000 infoAs fork of Borland's InterBase2014
Current release3.0.7 , October 20202.0
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPSQLyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoavailable via 3rd party productsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
FirebirdSplice Machine
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
News

Why We Started a Podcast
25 February 2021

Machine Learning Isn’t Models, It’s Features
12 February 2021

Go Hands-On with Splice Machine’s Feature Store
12 February 2021

Three Ways to Talk Machine Learning with Splice Machine in January
6 January 2021

How To Get Real-Time Analytics By Consolidating Databases
21 May 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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FirebirdSplice Machine
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