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DBMS > Badger vs. GridDB vs. IRONdb vs. MarkLogic

System Properties Comparison Badger vs. GridDB vs. IRONdb vs. MarkLogic

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGridDB  Xexclude from comparisonIRONdb  Xexclude from comparisonMarkLogic  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable in-memory time series database optimized for IoT and Big DataA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOperational and transactional Enterprise NoSQL database
Primary database modelKey-value storeTime Series DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
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
Websitegithub.com/­dgraph-io/­badgergriddb.netwww.circonus.com/solutions/time-series-database/www.progress.com/­marklogic
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.griddb.netdocs.circonus.com/irondb/category/getting-startedwww.progress.com/­marklogic/­documentation
DeveloperDGraph LabsToshiba CorporationCirconus LLC.MarkLogic Corp.
Initial release2017201320172001
Current release5.1, August 2022V0.10.20, January 201811.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercial inforestricted free version is available
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 languageGoC++C and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyes infotext, numeric, histogramsyes
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.nononoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL92
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP APIJava 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 languagesGoC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, in Luayes infovia XQuery or JavaScript
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes, with Range Indexes
User concepts infoAccess controlnoAccess rights for users can be defined per databasenoRole-based access control at the document and subdocument levels

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More resources
BadgerGridDBIRONdbMarkLogic
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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