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DBMS > Bangdb vs. BigchainDB vs. InterSystems IRIS vs. Kinetica vs. TerarkDB

System Properties Comparison Bangdb vs. BigchainDB vs. InterSystems IRIS vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBigchainDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitebangdb.comwww.bigchaindb.comwww.intersystems.com/­products/­intersystems-iriswww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.bangdb.combigchaindb.readthedocs.io/­en/­latestdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSachin Sinha, BangDBInterSystemsKineticaByteDance, originally Terark
Initial release20122016201820122016
Current releaseBangDB 2.0, October 20212023.3, June 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL v3commercialcommercialcommercial inforestricted open source version 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 languageC, C++PythonC, C++C++
Server operating systemsLinuxLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeschema-freeschema-freedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyesno
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.nonoyesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesno
SQL infoSupport of SQLSQL like support with command line toolnoyesSQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersyes, Notifications (with Streaming only)yesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes (enterprise version only)yesyesAccess rights for users and roles on table levelno
More information provided by the system vendor
BangdbBigchainDBInterSystems IRISKineticaTerarkDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
BangdbBigchainDBInterSystems IRISKineticaTerarkDB
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