DBMS > Atos Standard Common Repository vs. Elasticsearch vs. Impala

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. Impala

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Elasticsearch  Xexclude from comparison	Impala  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric	Analytic DBMS for Hadoop
Primary database model	Document store Key-value store	Search engine	Relational DBMS
Secondary database models		Document store Spatial DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 156.00 Rank #8   Overall #1   Search engines	Score 17.79 Rank #40   Overall #25   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.elastic.co/­elasticsearch	www.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentation		www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	docs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
Developer	Atos Convergence Creators	Elastic	Cloudera
Initial release	2016	2010	2013
Current release	1703	7.8.0, June 2020	4.0.0, July 2021
License Commercial or Open Source	commercial	Open Source Elastic License	Open Source Apache Version 2
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C++
Server operating systems	Linux	All OS with a Java VM	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free Flexible type definitions. Once a type is defined, it is persistent	yes
Typing predefined data types such as float or date	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.	yes	no	no
Secondary indexes	yes	yes All search fields are automatically indexed	yes
SQL Support of SQL	no	SQL-like query language	SQL-like DML and DDL statements
APIs and other access methods	LDAP	Java API RESTful HTTP/JSON API	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	All languages supporting JDBC/ODBC
Server-side scripts Stored procedures	no	yes	yes user defined functions and integration of map-reduce
Triggers	yes	yes by using the 'percolation' feature	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods		ES-Hadoop Connector	yes query execution via MapReduce
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all	Eventual Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	Memcached and Redis integration	no
User concepts Access control	LDAP bind authentication		Access rights for users, groups and roles based on Apache Sentry and Kerberos
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Elasticsearch	Impala
DB-Engines blog posts