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DBMS > Badger vs. Bangdb vs. eXtremeDB vs. InterSystems IRIS

System Properties Comparison Badger vs. Bangdb vs. eXtremeDB vs. InterSystems IRIS

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisoneXtremeDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphNatively in-memory DBMS with options for persistency, high-availability and clusteringA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbangdb.comwww.mcobject.comwww.intersystems.com/­products/­intersystems-iris
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comwww.mcobject.com/­docs/­extremedb.htmdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperDGraph LabsSachin Sinha, BangDBMcObjectInterSystems
Initial release2017201220012018
Current releaseBangDB 2.0, October 20218.2, 20212023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++C and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Data schemeschema-freeschema-freeyesdepending on used data model
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nonono infosupport of XML interfaces availableyes
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLnoSQL like support with command line toolyes infowith the option: eXtremeSQLyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC
C#
C++
Java
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesyes
Triggersnoyes, Notifications (with Streaming only)yes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesyes
User concepts infoAccess controlnoyes (enterprise version only)yes
More information provided by the system vendor
BadgerBangdbeXtremeDBInterSystems IRIS
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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