DBMS > Apache Impala vs. Atos Standard Common Repository vs. Sadas Engine vs. Splunk

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Sadas Engine vs. Splunk

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Editorial information provided by DB-Engines
Name	Apache Impala  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Splunk  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Analytic DBMS for Hadoop	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	Analytics Platform for Big Data
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS	Search engine
Secondary database models	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 12.45 Rank #40   Overall #24   Relational DBMS		Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 89.10 Rank #14   Overall #2   Search engines
Website	impala.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.sadasengine.com	www.splunk.com
Technical documentation	impala.apache.org/­impala-docs.html		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	docs.splunk.com/­Documentation/­Splunk
Developer	Apache Software Foundation Apache top-level project, originally developed by Cloudera	Atos Convergence Creators	SADAS s.r.l.	Splunk Inc.
Initial release	2013	2016	2006	2003
Current release	4.1.0, June 2022	1703	8.0
License Commercial or Open Source	Open Source Apache Version 2	commercial	commercial free trial version available	commercial Limited free edition and free developer edition available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++	Java	C++
Server operating systems	Linux	Linux	AIX Linux Windows	Linux OS X Solaris Windows
Data scheme	yes	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	optional	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	no	yes
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL-like DML and DDL statements	no	yes	no Splunk Search Processing Language for search commands
APIs and other access methods	JDBC ODBC	LDAP	JDBC ODBC Proprietary protocol	HTTP REST
Supported programming languages	All languages supporting JDBC/ODBC	All languages with LDAP bindings	.Net C C# C++ Groovy Java PHP Python	C# Java JavaScript PHP Python Ruby
Server-side scripts Stored procedures	yes user defined functions and integration of map-reduce	no	no	yes
Triggers	no	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor	yes	none	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes query execution via MapReduce		no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	Atomic execution of specific operations		no A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes managed by 'Learn by Usage'	no
User concepts Access control	Access rights for users, groups and roles based on Apache Sentry and Kerberos	LDAP bind authentication	Access rights for users, groups and roles according to SQL-standard	Access rights for users and roles
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More resources
	Apache Impala	Atos Standard Common Repository	Sadas Engine	Splunk
DB-Engines blog posts				Enterprise Search Engines almost double their popularity in the last 12 months 2 July 2014, Paul Andlinger show all
Recent citations in the news	Apache Impala becomes Top-Level Project 28 November 2017, SDTimes.com Cloudera Bringing Impala to AWS Cloud 28 November 2017, Datanami Apache Doris just 'graduated': Why care about this SQL data warehouse 24 June 2022, InfoWorld Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop 12 March 2017, Uber Updates & Upserts in Hadoop Ecosystem with Apache Kudu 27 October 2017, KDnuggets provided by Google News

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