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DBMS > Altibase vs. Apache Impala vs. Badger vs. InterSystems IRIS vs. Postgres-XL

System Properties Comparison Altibase vs. Apache Impala vs. Badger vs. InterSystems IRIS vs. Postgres-XL

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitealtibase.comimpala.apache.orggithub.com/­dgraph-io/­badgerwww.intersystems.com/­products/­intersystems-iriswww.postgres-xl.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.postgres-xl.org/­documentation
DeveloperAltibaseApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsInterSystems
Initial release19992013201720182014 infosince 2012, originally named StormDB
Current releasev7.3, 2023, August 20234.1.0, June 20222023.3, June 202310 R1, October 2018
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoMozilla public license
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++GoC
Server operating systemsAIX
HP-UX
Linux
LinuxBSD
Linux
OS X
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Data schemeyesyesschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyesyes infoXML type, but no XML query functionality
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like DML and DDL statementsnoyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
All languages supporting JDBC/ODBCGo.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infouser defined functions and integration of map-reducenoyesuser defined functions
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyesfine grained access rights according to SQL-standard
More information provided by the system vendor
AltibaseApache ImpalaBadgerInterSystems IRISPostgres-XL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
AltibaseApache ImpalaBadgerInterSystems IRISPostgres-XL
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