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DBMS > Brytlyt vs. Firebird vs. Sequoiadb vs. Splice Machine vs. Tibero

System Properties Comparison Brytlyt vs. Firebird vs. Sequoiadb vs. Splice Machine vs. Tibero

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFirebird  Xexclude from comparisonSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFirebird is an open source RDBMS forked from Borland's InterBaseNewSQL database with distributed OLTP and SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitebrytlyt.iowww.firebirdsql.orgwww.sequoiadb.comsplicemachine.comus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.brytlyt.iowww.firebirdsql.org/­en/­reference-manualswww.sequoiadb.com/­en/­index.php?m=Files&a=indexsplicemachine.com/­how-it-workstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperBrytlytFirebird FoundationSequoiadb Ltd.Splice MachineTmaxSoft
Initial release20162000 infoAs fork of Borland's InterBase201320142003
Current release5.0, August 20235.0.0, January 20243.1, March 20216, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL 3.0, commercial license availablecommercial
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 CUDAC and C++C++JavaC and Assembler
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyesyes
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.yes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
proprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLPSQLJavaScriptyes infoJavaPersistent Stored Procedure (PSM)
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes, multi-version concurrency control (MVCC)yes
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.noyesno infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptsimple password-based access controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
BrytlytFirebirdSequoiadbSplice MachineTibero
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