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DBMS > Apache Druid vs. FoundationDB vs. HBase vs. PostgreSQL vs. Quasardb

System Properties Comparison Apache Druid vs. FoundationDB vs. HBase vs. PostgreSQL vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFoundationDB  Xexclude from comparisonHBase  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOrdered key-value store. Core features are complimented by layers.Wide-column store based on Apache Hadoop and on concepts of BigTableWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orggithub.com/­apple/­foundationdbhbase.apache.orgwww.postgresql.orgquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designapple.github.io/­foundationdbhbase.apache.org/­book.htmlwww.postgresql.org/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsFoundationDBApache Software Foundation infoApache top-level project, originally developed by PowersetPostgreSQL Global Development Group infowww.postgresql.org/­developerquasardb
Initial release2012201320081989 info1989: Postgres, 1996: PostgreSQL2009
Current release29.0.1, April 20246.2.28, November 20202.3.4, January 202116.3, May 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache version 2Open Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaCC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-free infosome layers support schemasschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingoptions to bring your own types, AVROyesyes infointeger and binary
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnonoyesyes infowith tags
SQL infoSupport of SQLSQL for queryingsupported in specific SQL layer onlynoyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoin SQL-layer onlyyes infoCoprocessors in Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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Apache DruidFoundationDBHBasePostgreSQLQuasardb
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