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DBMS > Apache Druid vs. Graph Engine vs. MarkLogic vs. RocksDB

System Properties Comparison Apache Druid vs. Graph Engine vs. MarkLogic vs. RocksDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMarkLogic  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOperational and transactional Enterprise NoSQL databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitedruid.apache.orgwww.graphengine.iowww.progress.com/­marklogicrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.graphengine.io/­docs/­manualwww.progress.com/­marklogic/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsMicrosoftMarkLogic Corp.Facebook, Inc.
Initial release2012201020012013
Current release30.0.0, June 202411.0, December 20229.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT Licensecommercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CC++C++
Server operating systemsLinux
OS X
Unix
.NETLinux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-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.nonoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL for queryingnoyes infoSQL92no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
F#
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infovia XQuery or JavaScriptno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transactionyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access control at the document and subdocument levelsno

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More resources
Apache DruidGraph Engine infoformer name: TrinityMarkLogicRocksDB
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

Recent citations in the news

Apache® Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers’ Choice Awards
26 January 2024, businesswire.com

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26 June 2024, Yahoo Finance

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21 February 2024, Dark Reading

Apache Druid Takes Its Place In The Pantheon Of Databases
16 June 2022, The Next Platform

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18 October 2021, Towards Data Science

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