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DBMS > atoti vs. Impala

System Properties Comparison atoti vs. Impala

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytic DBMS for Hadoop
Primary database modelObject oriented DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#237  Overall
#11  Object oriented DBMS
Score18.66
Rank#37  Overall
#23  Relational DBMS
Websitewww.atoti.iowww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperActiveViamCloudera
Initial release2013
Current release4.1.0, June 2022
License infoCommercial or Open Sourcecommercial infofree versions availableOpen 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 systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresPythonyes infouser defined functions and integration of map-reduce
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
atotiImpala
Recent citations in the news

ActiveViam Embraces Python for its In-Memory Database
4 August 2020, www.waterstechnology.com

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10 November 2014, InformationWeek

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