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DBMS > Bangdb vs. GridDB vs. MarkLogic vs. ToroDB

System Properties Comparison Bangdb vs. GridDB vs. MarkLogic vs. ToroDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGridDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable in-memory time series database optimized for IoT and Big DataOperational and transactional Enterprise NoSQL databaseA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsSpatial DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitebangdb.comgriddb.netwww.progress.com/­marklogicgithub.com/­torodb/­server
Technical documentationdocs.bangdb.comdocs.griddb.netwww.progress.com/­marklogic/­documentation
DeveloperSachin Sinha, BangDBToshiba CorporationMarkLogic Corp.8Kdata
Initial release2012201320012016
Current releaseBangDB 2.0, October 20215.1, August 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++Java
Server operating systemsLinuxLinuxLinux
OS X
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infonumerical, string, blob, geometry, boolean, timestampyesyes infostring, integer, double, boolean, date, object_id
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.nonoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL92
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON 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 languagesC
C#
C++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScript
Triggersyes, Notifications (with Streaming only)yesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID infocan act as a resource manager in an XA/JTA transactionno
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 modeyesyes, with Range Indexes
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databaseRole-based access control at the document and subdocument levelsAccess rights for users and roles

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More resources
BangdbGridDBMarkLogicToroDB
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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