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DBMS > Bangdb vs. Kdb vs. OrientDB vs. RisingWave

System Properties Comparison Bangdb vs. Kdb vs. OrientDB vs. RisingWave

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonKdb  Xexclude from comparisonOrientDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh performance Time Series DBMSMulti-model DBMS (Document, Graph, Key/Value)A distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMS
Vector DBMS
Document store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMSRelational 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
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitebangdb.comkx.comorientdb.orgwww.risingwave.com/­database
Technical documentationdocs.bangdb.comcode.kx.comwww.orientdb.com/­docs/­last/­index.htmldocs.risingwave.com/­docs/­current/­intro
DeveloperSachin Sinha, BangDBKx Systems, a division of First Derivatives plcOrientDB LTD; CallidusCloud; SAPRisingWave Labs
Initial release20122000 infokdb was released 2000, kdb+ in 200320102022
Current releaseBangDB 2.0, October 20213.6, May 20183.2.29, March 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree 32-bit versionOpen Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++qJavaRust
Server operating systemsLinuxLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Docker
Linux
macOS
Data schemeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesStandard SQL-types and JSON
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.noyesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query language (q)SQL-like query language, no joinsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsJava, JavascriptUDFs in Python or Java
Triggersyes, Notifications (with Streaming only)yes infowith viewsHooksno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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
User concepts infoAccess controlyes (enterprise version only)rights management via user accountsAccess rights for users and roles; record level security configurableUsers and Roles
More information provided by the system vendor
BangdbKdbOrientDBRisingWave
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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BangdbKdbOrientDBRisingWave
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