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DBMS > Apache Pinot vs. DataFS vs. Ingres vs. MarkLogic

System Properties Comparison Apache Pinot vs. DataFS vs. Ingres vs. MarkLogic

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDataFS  Xexclude from comparisonIngres  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Well established RDBMSOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitepinot.apache.orgnewdatabase.comwww.actian.com/­databases/­ingreswww.progress.com/­marklogic
Technical documentationdocs.pinot.apache.orgdev.mobiland.com/­Overview.xspdocs.actian.com/­ingreswww.progress.com/­marklogic/­documentation
DeveloperApache Software Foundation and contributorsMobiland AGActian CorporationMarkLogic Corp.
Initial release201520181974 infooriginally developed at University Berkely in early 1970s2001
Current release1.0.0, September 20231.1.263, October 202212.0, July 202411.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is available
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 languageJavaCC++
Server operating systemsAll OS with a Java JDK11 or higherWindowsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes infoSQL92
APIs and other access methodsJDBC.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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
Supported programming languagesGo
Java
Python
.Net
C
C#
C++
VB.Net
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScript
Triggersno, except callback-events from server when changes happenedyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningProprietary Sharding systemhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, with Range Indexes
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
Apache PinotDataFSIngresMarkLogic
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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