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DBMS > Atos Standard Common Repository vs. Impala

System Properties Comparison Atos Standard Common Repository vs. Impala

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonImpala  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAnalytic DBMS for Hadoop
Primary database modelDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.46
Rank#39  Overall
#24  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperAtos Convergence CreatorsCloudera
Initial release20162013
Current release17034.0.0, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxLinux
Data schemeSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateoptionalyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsLDAPJDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Atos Standard Common RepositoryImpala
Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Harnessing Data In Motion - insideHPC
10 January 2022, insideHPC

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

provided by Google News

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