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DBMS > MarkLogic vs. Oracle Berkeley DB vs. PouchDB vs. RethinkDB vs. Teradata

System Properties Comparison MarkLogic vs. Oracle Berkeley DB vs. PouchDB vs. RethinkDB vs. Teradata

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPouchDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseWidely used in-process key-value storeJavaScript DBMS with an API inspired by CouchDBDBMS for the Web with a mechanism to push updated query results to applications in realtime.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score2.66
Rank#107  Overall
#20  Document stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.progress.com/­marklogicwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpouchdb.comrethinkdb.comwww.teradata.com
Technical documentationwww.progress.com/­marklogic/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpouchdb.com/­guidesrethinkdb.com/­docsdocs.teradata.com
DeveloperMarkLogic Corp.Oracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationThe Linux Foundation infosince July 2017Teradata
Initial release20011994201220091984
Current release11.0, December 202218.1.40, May 20207.1.1, June 20192.4.1, August 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infocommercial license availableOpen SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)JavaScriptC++
Server operating systemsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
hosted
Linux
Data schemeschema-free infoSchema can be enforcedschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes infostring, binary, float, bool, date, geometryyes
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.yesyes infoonly with the Berkeley DB XML editionnonoyes
Secondary indexesyesyesyes infovia viewsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infoSQL92yes infoSQL interfaced based on SQLite is availablenonoyes infoSQL 2016 + extensions
APIs and other access methodsJava 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
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScriptC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoView functions in JavaScriptyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes infoonly for the SQL APIyesClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding inforange basedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDnoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyesyesnoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsnonoyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
MarkLogicOracle Berkeley DBPouchDBRethinkDBTeradata
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