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DBMS > Apache Druid vs. Netezza vs. Sadas Engine vs. SQL.JS vs. Trafodion

System Properties Comparison Apache Druid vs. Netezza vs. Sadas Engine vs. SQL.JS vs. Trafodion

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQL.JS  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataData warehouse and analytics appliance part of IBM PureSystemsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsPort of SQLite to JavaScriptTransactional SQL-on-Hadoop DBMS
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
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitedruid.apache.orgwww.ibm.com/­products/­netezzawww.sadasengine.comsql.js.orgtrafodion.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsql.js.org/­documentation/­index.htmltrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation and contributorsIBMSADAS s.r.l.Alon Zakai infoenhancements implemented by othersApache Software Foundation, originally developed by HP
Initial release20122000200620122014
Current release29.0.1, April 20248.02.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree trial version availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScriptC++, Java
Server operating systemsLinux
OS X
Unix
Linux infoincluded in applianceAIX
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
JavaScript APIADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScriptAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesnonoJava Stored Procedures
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Apache DruidNetezza infoAlso called PureData System for Analytics by IBMSadas EngineSQL.JSTrafodion
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