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DBMS > Badger vs. BigchainDB vs. HEAVY.AI vs. InterSystems IRIS vs. MarkLogic

System Properties Comparison Badger vs. BigchainDB vs. HEAVY.AI vs. InterSystems IRIS vs. MarkLogic

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOperational and transactional Enterprise NoSQL database
Primary database modelKey-value storeDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.intersystems.com/­products/­intersystems-iriswww.marklogic.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.heavy.aidocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.marklogic.com
DeveloperDGraph LabsHEAVY.AI, Inc.InterSystemsMarkLogic Corp.
Initial release20172016201620182001
Current release5.10, January 20222023.3, June 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache Version 2; enterprise edition availablecommercialcommercial inforestricted free version is available
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 languageGoPythonC++ and CUDAC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesdepending on used data modelschema-free infoSchema can be enforced
Typing infopredefined data types such as float or datenonoyesyesyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyesyes infoSQL92
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes infovia XQuery or JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes, with Range Indexes
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardyesRole-based access control at the document and subdocument levels
More information provided by the system vendor
BadgerBigchainDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISMarkLogic
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
BadgerBigchainDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISMarkLogic
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