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DBMS > Heroic vs. Kingbase vs. MarkLogic vs. PouchDB

System Properties Comparison Heroic vs. Kingbase vs. MarkLogic vs. PouchDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKingbase  Xexclude from comparisonMarkLogic  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Operational and transactional Enterprise NoSQL databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­spotify/­heroicwww.kingbase.com.cnwww.progress.com/­marklogicpouchdb.com
Technical documentationspotify.github.io/­heroicwww.progress.com/­marklogic/­documentationpouchdb.com/­guides
DeveloperSpotifyBeiJing KINGBASE Information technologies inc.MarkLogic Corp.Apache Software Foundation
Initial release2014199920012012
Current releaseV8.0, August 202111.0, December 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaC++JavaScript
Server operating systemsLinux
Windows
Linux
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 dateyesyesyesno
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.noyesyesno
Secondary indexesyes infovia Elasticsearchyesyesyes infovia views
SQL infoSupport of SQLnoStandard with numerous extensionsyes infoSQL92no
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
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++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptView functions in JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID 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.noyes, with Range Indexesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsno

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HeroicKingbaseMarkLogicPouchDB
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