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DBMS > Apache Druid vs. FileMaker vs. Netezza vs. OushuDB vs. Valentina Server

System Properties Comparison Apache Druid vs. FileMaker vs. Netezza vs. OushuDB vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFileMaker  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOushuDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFileMaker is a cross-platform RDBMS that includes a GUI frontend.Data warehouse and analytics appliance part of IBM PureSystemsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
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
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.05
Rank#357  Overall
#151  Relational DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitedruid.apache.orgwww.claris.com/­filemakerwww.ibm.com/­products/­netezzawww.oushu.com/­product/­oushuDBwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designwww.claris.com/­resources/­documentationwww.oushu.com/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsClaris infoa subsidiary of AppleIBMOushuParadigma Software
Initial release2012198320001999
Current release30.0.0, June 202419.4.1, November 20214.0.1, August 20205.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
iOS infoclient part only
Linux
OS X
Windows
Linux infoincluded in applianceLinuxLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoA http query request can return the data in XML format
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infovia pluginsyesFull-featured ANSI SQL supportyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
OLE DB
JDBC
ODBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
PHPC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyesyesyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple rights management via user accounts and connection to external directory servicesUsers with fine-grained authorization conceptKerberos, SSL and role based accessfine grained access rights according to SQL-standard

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More resources
Apache DruidFileMakerNetezza infoAlso called PureData System for Analytics by IBMOushuDBValentina Server
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