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DBMS > Amazon Redshift vs. EsgynDB vs. Impala

System Properties Comparison Amazon Redshift vs. EsgynDB vs. Impala

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonEsgynDB  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.67
Rank#31  Overall
#19  Relational DBMS
Score0.16
Rank#265  Overall
#124  Relational DBMS
Score14.57
Rank#37  Overall
#23  Relational DBMS
Websiteaws.amazon.com/­redshiftesgyn.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.aws.amazon.com/­redshiftesgyn.com/­developerswww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperAmazon (based on PostgreSQL)EsgynCloudera
Initial release201220152013
Current release3.3.0, August 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaC++
Server operating systemshostedLinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava Stored Proceduresyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication between multi datacentersselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
Amazon RedshiftEsgynDBImpala
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
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DBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftEsgynDBImpala
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Recent citations in the news

GoodData and Amazon Redshift Form Partnership
10 October 2019, Database Trends and Applications

GoodData BI customers now able to use data on Amazon Redshift
8 October 2019, TechTarget

Amazon migrates more than 100 consumer services from Oracle to AWS databases
15 October 2019, TechCrunch

Exasol Survey: Nearly Two Thirds of Analytics Projects Are Jeopardized Due to Poor Access to the Right Data
15 October 2019, Yahoo Finance

Amazon Announces AWS Lake Formation › e3zine - E-3 Magazine International
12 October 2019, E3zine.com

provided by Google News

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your business
30 November 2018, Markets Insider

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

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

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google News

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

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

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

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

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

provided by Google News

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