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DBMS > MarkLogic vs. Pinecone vs. RethinkDB vs. RRDtool

System Properties Comparison MarkLogic vs. Pinecone vs. RethinkDB vs. RRDtool

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonPinecone  Xexclude from comparisonRethinkDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseA managed, cloud-native vector databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial 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
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.marklogic.comwww.pinecone.iorethinkdb.comoss.oetiker.ch/­rrdtool
Technical documentationdocs.marklogic.comdocs.pinecone.io/­docs/­overviewrethinkdb.com/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperMarkLogic Corp.Pinecone Systems, IncThe Linux Foundation infosince July 2017Tobias Oetiker
Initial release2001201920091999
Current release11.0, December 20222.4.1, August 20201.8.0, 2022
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoApache Version 2Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
HP-UX
Linux
Data schemeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes infostring, binary, float, bool, date, geometryNumeric data only
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.yesnonono infoExporting into and restoring from XML files possible
Secondary indexesyesyesno
SQL infoSupport of SQLyes infoSQL92nonono
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
RESTful HTTP APIin-process shared library
Pipes
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
PythonC 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 infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptno
TriggersyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes infoby using the rrdcached daemon
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.yes, with Range Indexesnonoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyes infousers and table-level permissionsno

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MarkLogicPineconeRethinkDBRRDtool
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