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DBMS > Apache Druid vs. BaseX vs. Faircom EDGE vs. PostgreSQL

System Properties Comparison Apache Druid vs. BaseX vs. Faircom EDGE vs. PostgreSQL

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSKey-value store
Relational DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.44
Rank#93  Overall
#49  Relational DBMS
#6  Time Series DBMS
Score1.48
Rank#142  Overall
#4  Native XML DBMS
Score0.22
Rank#285  Overall
#42  Key-value stores
#133  Relational DBMS
Score606.56
Rank#4  Overall
#4  Relational DBMS
Websitedruid.apache.orgbasex.orgwww.faircom.com/­products/­faircomedge-iot-databasewww.postgresql.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orglearn.faircomcorp.com/­developers/­documentation_directorywww.postgresql.org/­docs
DeveloperApache Software Foundation and contributorsBaseX GmbHFairCom CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012200719791989 info1989: Postgres, 1996: PostgreSQL
Current release0.22.1, December 20219.6.4, December 2021V3, October 202014.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licensecommercial infoRestricted, free version 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 languageJavaJavaANSI C, C++C
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyes, ANSI Standard SQL Typesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyes infoANSI SQL queriesyes infostandard with numerous extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesyes info.Net, JavaScript, C/C++user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infovia eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneFile partitioning infoCustomizable business rules for partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept on 4 levelsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standard

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More resources
Apache DruidBaseXFaircom EDGE infoformerly c-treeEDGEPostgreSQL
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