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DBMS > EsgynDB vs. Impala

System Properties Comparison EsgynDB vs. Impala

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#264  Overall
#123  Relational DBMS
Score16.94
Rank#37  Overall
#23  Relational DBMS
Websiteesgyn.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationesgyn.com/­developersdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperEsgynCloudera
Initial release20152013
Current release3.4.0, April 2020
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 languageC++, JavaC++
Server operating systemsLinuxLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
EsgynDBImpala
Recent citations in the news

Esgyn Corporation and Zaloni Partner to Make Data Lakes More Powerful and Deliver Benefits Faster!
30 November 2017, PR Newswire

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big...
28 May 2019, Moneycontrol

Esgyn Corporation and Ampool Partner to Bring In-Memory Optimized Operational, Transactional and Real-Time Analytics to Hadoop.
18 May 2017, PR Newswire

Esgyn Brings Active-Active Multi-Data Center Transaction Support to Hadoop
8 December 2015, PR Newswire

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

provided by Google News

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

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much – Gigaom
13 January 2014, GigaOM

Pentaho adds Amazon Redshift, Cloudera Impala to stable of data sources
17 February 2015, SiliconANGLE

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, Wired

provided by Google News

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