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DBMS > Bangdb vs. Cubrid vs. JaguarDB vs. Sadas Engine

System Properties Comparison Bangdb vs. Cubrid vs. JaguarDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCubrid  Xexclude from comparisonJaguarDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPPerformant, highly scalable DBMS for AI and IoT applicationsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#332  Overall
#45  Document stores
#34  Graph DBMS
#29  Time Series DBMS
Score1.20
Rank#160  Overall
#76  Relational DBMS
Score0.00
Rank#354  Overall
#54  Key-value stores
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websitebangdb.comcubrid.com (korean)
cubrid.org (english)
www.datajaguar.comwww.sadasengine.com
Technical documentationbangdb.com/­developercubrid.org/­manualswww.datajaguar.com/­support.phpwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperSachin Sinha, BangDBCUBRID Corporation, CUBRID FoundationDataJaguar, Inc.SADAS s.r.l.
Initial release2012200820152006
Current releaseBangDB 2.0, October 202111.0, January 20212.9.4 September 20188.0
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0Open Source infoGPL V3.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C, C++, JavaC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinuxLinux
Windows
LinuxAIX
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
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 modenonoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardrights management via user accountsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
BangdbCubridJaguarDBSadas Engine
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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