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DBMS > Drizzle vs. HyperSQL vs. MarkLogic vs. PouchDB

System Properties Comparison Drizzle vs. HyperSQL vs. MarkLogic vs. PouchDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOperational and transactional Enterprise NoSQL databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#93  Overall
#48  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
Websitehsqldb.orgwww.progress.com/­marklogicpouchdb.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlwww.progress.com/­marklogic/­documentationpouchdb.com/­guides
DeveloperDrizzle project, originally started by Brian AkerMarkLogic Corp.Apache Software Foundation
Initial release2008200120012012
Current release7.2.4, September 20122.7.2, June 202311.0, December 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infobased on BSD licensecommercial 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 languageC++JavaC++JavaScript
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-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.noyesno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLyes infowith proprietary extensionsyesyes infoSQL92no
APIs and other access methodsJDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
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 languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoJava, SQLyes infovia XQuery or JavaScriptView functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.yesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesMulti-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 systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID 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.yesyes, with Range Indexesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsno

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More resources
DrizzleHyperSQL infoalso known as HSQLDBMarkLogicPouchDB
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