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DBMS > etcd vs. GridDB vs. MarkLogic vs. PouchDB

System Properties Comparison etcd vs. GridDB vs. MarkLogic vs. PouchDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGridDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeScalable in-memory time series database optimized for IoT and Big DataOperational and transactional Enterprise NoSQL databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Websiteetcd.io
github.com/­etcd-io/­etcd
griddb.netwww.marklogic.compouchdb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.griddb.netdocs.marklogic.compouchdb.com/­guides
DeveloperToshiba CorporationMarkLogic Corp.Apache Software Foundation
Initial release201320012012
Current release3.4, August 20195.1, August 202211.0, December 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial inforestricted free version is availableOpen Source
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++JavaScript
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesno
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 indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yes infoSQL92no
APIs and other access methodsgRPC
JSON over HTTP
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
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptView functions in JavaScript
Triggersyes, watching key changesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
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 jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseRole-based access control at the document and subdocument levelsno
More information provided by the system vendor
etcdGridDBMarkLogicPouchDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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etcdGridDBMarkLogicPouchDB
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