DBMS > Apache Impala vs. Atos Standard Common Repository vs. LeanXcale vs. SiteWhere

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. LeanXcale vs. SiteWhere

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Editorial information provided by DB-Engines
Name	Apache Impala  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	LeanXcale  Xexclude from comparison	SiteWhere  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	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	M2M integration platform for persisting/querying time series data
Primary database model	Relational DBMS	Document store Key-value store	Key-value store Relational DBMS	Time Series DBMS
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 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 0.06 Rank #383   Overall #43   Time Series DBMS
Website	impala.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.leanxcale.com	github.com/­sitewhere/­sitewhere
Technical documentation	impala.apache.org/­impala-docs.html			sitewhere1.sitewhere.io/­index.html
Developer	Apache Software Foundation Apache top-level project, originally developed by Cloudera	Atos Convergence Creators	LeanXcale	SiteWhere
Initial release	2013	2016	2015	2010
Current release	4.1.0, June 2022	1703
License Commercial or Open Source	Open Source Apache Version 2	commercial	commercial	Open Source Common Public Attribution License Version 1.0
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		Java
Server operating systems	Linux	Linux		Linux OS X Windows
Data scheme	yes	Schema and schema-less with LDAP views	yes	predefined scheme
Typing predefined data types such as float or date	yes	optional		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
Secondary indexes	yes	yes		no
SQL Support of SQL	SQL-like DML and DDL statements	no	yes through Apache Derby	no
APIs and other access methods	JDBC ODBC	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	HTTP REST
Supported programming languages	All languages supporting JDBC/ODBC	All languages with LDAP bindings	C Java Scala
Server-side scripts Stored procedures	yes user defined functions and integration of map-reduce	no
Triggers	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division		Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor	yes		selectable replication factor based on HBase
MapReduce Offers an API for user-defined Map/Reduce methods	yes query execution via MapReduce		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate 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	ACID	no
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	no
User concepts Access control	Access rights for users, groups and roles based on Apache Sentry and Kerberos	LDAP bind authentication		Users with fine-grained authorization concept
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More resources
	Apache Impala	Atos Standard Common Repository	LeanXcale	SiteWhere
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	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		SiteWhere: An open platform for connected devices 11 July 2017, Open Source For You Ten Popular IoT Platforms You Should be Aware of 27 March 2023, Open Source For You provided by Google News

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