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

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

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Data 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 JavaScript
Primary database modelRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Relational 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
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score0.53
Rank#246  Overall
#115  Relational DBMS
Websitedruid.apache.orgwww.databricks.comwww.ibm.com/­products/­netezzawww.sadasengine.comsql.js.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsDatabricksIBMSADAS s.r.l.Alon Zakai infoenhancements implemented by others
Initial release20122013200020062012
Current release30.0.0, June 20248.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial infofree trial version availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemsLinux
OS X
Unix
hostedLinux infoincluded in applianceAIX
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingwith Databricks SQLyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
JavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes
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 persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'yes
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-standardno
More information provided by the system vendor
Apache DruidDatabricksNetezza infoAlso called PureData System for Analytics by IBMSadas EngineSQL.JS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DruidDatabricksNetezza infoAlso called PureData System for Analytics by IBMSadas EngineSQL.JS
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