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DBMS > Altibase vs. Badger vs. Faircom EDGE vs. InterSystems IRIS vs. SWC-DB

System Properties Comparison Altibase vs. Badger vs. Faircom EDGE vs. InterSystems IRIS vs. SWC-DB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBadger  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Wide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitealtibase.comgithub.com/­dgraph-io/­badgerwww.faircom.com/­products/­faircom-edgewww.intersystems.com/­products/­intersystems-irisgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgodoc.org/­github.com/­dgraph-io/­badgerdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperAltibaseDGraph LabsFairCom CorporationInterSystemsAlex Kashirin
Initial release19992017197920182020
Current releasev7.3, 2023, August 2023V3, October 20202023.3, June 20230.5, April 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercial infoRestricted, free version availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoANSI C, C++C++
Server operating systemsAIX
HP-UX
Linux
BSD
Linux
OS X
Solaris
Windows
Android
Linux infoARM, x86
Raspbian
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)depending on used data modelschema-free
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesyes
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.nonoyesyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92noyes infoANSI SQL queriesyesSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesC
C++
Java
GoC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes info.Net, JavaScript, C/C++yesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.yesnoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes
More information provided by the system vendor
AltibaseBadgerFaircom EDGE infoformerly c-treeEDGEInterSystems IRISSWC-DB infoSuper Wide Column Database
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AltibaseBadgerFaircom EDGE infoformerly c-treeEDGEInterSystems IRISSWC-DB infoSuper Wide Column Database
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