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DBMS > Apache Druid vs. Greenplum vs. Microsoft Access vs. PouchDB vs. RDF4J

System Properties Comparison Apache Druid vs. Greenplum vs. Microsoft Access vs. PouchDB vs. RDF4J

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)JavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument storeRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitedruid.apache.orggreenplum.orgwww.microsoft.com/­en-us/­microsoft-365/­accesspouchdb.comrdf4j.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgdeveloper.microsoft.com/­en-us/­accesspouchdb.com/­guidesrdf4j.org/­documentation
DeveloperApache Software Foundation and contributorsPivotal Software Inc.MicrosoftApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122005199220122004
Current release29.0.1, April 20247.0.0, September 20231902 (16.0.11328.20222), March 20197.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScriptJava
Server operating systemsLinux
OS X
Unix
LinuxWindows infoNot a real database server, but making use of DLLsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infosince Version 4.2no
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL for queryingyesyes infobut not compliant to any SQL standardnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineView functions in JavaScriptyes
Triggersnoyesyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003nono

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More resources
Apache DruidGreenplumMicrosoft AccessPouchDBRDF4J infoformerly known as Sesame
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