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DBMS > Bangdb vs. EsgynDB vs. MonetDB vs. OrientDB

System Properties Comparison Bangdb vs. EsgynDB vs. MonetDB vs. OrientDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEsgynDB  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score0.21
Rank#288  Overall
#134  Relational DBMS
Score1.81
Rank#131  Overall
#64  Relational DBMS
Score5.14
Rank#79  Overall
#14  Document stores
#5  Graph DBMS
#12  Key-value stores
Websitebangdb.comwww.esgyn.cnwww.monetdb.orgorientdb.org
Technical documentationbangdb.com/­developerwww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.html
DeveloperSachin Sinha, BangDBEsgynMonetDB BVOrientDB LTD; CallidusCloud; SAP
Initial release2012201520042010
Current releaseBangDB 2.0, October 2021Jul2021-SP2, July 20213.1.9, February 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoMozilla Public License 2.0Open Source infoApache version 2
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++, JavaCJava
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyes infoSQL 2003 with some extensionsSQL-like query language, no joins
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
All languages supporting JDBC/ODBC/ADO.NetC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes, in SQL, C, RJava, Javascript
Triggersyes, Notifications (with Streaming only)noyesHooks
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication between multi datacentersnone infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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 modeno
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
BangdbEsgynDBMonetDBOrientDB
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» 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
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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BangdbEsgynDBMonetDBOrientDB
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