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DBMS > Altibase vs. Apache Impala vs. Firebird vs. Oracle Berkeley DB

System Properties Comparison Altibase vs. Apache Impala vs. Firebird vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Impala  Xexclude from comparisonFirebird  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAnalytic DBMS for HadoopFirebird is an open source RDBMS forked from Borland's InterBaseWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#98  Relational DBMS
Score10.22
Rank#40  Overall
#24  Relational DBMS
Score18.43
Rank#30  Overall
#18  Relational DBMS
Score1.91
Rank#121  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitealtibase.comimpala.apache.orgwww.firebirdsql.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsimpala.apache.org/­impala-docs.htmlwww.firebirdsql.org/­en/­reference-manualsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAltibaseApache Software Foundation infoApache top-level project, originally developed by ClouderaFirebird FoundationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release199920132000 infoAs fork of Borland's InterBase1994
Current releasev7.3, 2023, August 20234.1.0, June 20225.0.1, August 202418.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2Open Source infoInitial Developer's Public LicenseOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAIX
HP-UX
Linux
LinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like DML and DDL statementsyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Supported programming languagesC
C++
Java
All languages supporting JDBC/ODBCC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infouser defined functions and integration of map-reducePSQLno
Triggersyesnoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writers
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization conceptno

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More resources
AltibaseApache ImpalaFirebirdOracle Berkeley DB
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