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DBMS > Amazon Redshift vs. Impala vs. JSqlDb

System Properties Comparison Amazon Redshift vs. Impala vs. JSqlDb

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonImpala  Xexclude from comparisonJSqlDb  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopJavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.37
Rank#30  Overall
#17  Relational DBMS
Score15.52
Rank#36  Overall
#22  Relational DBMS
Score0.00
Rank#341  Overall
#46  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­redshiftwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmljsqldb.org
Technical documentationdocs.aws.amazon.com/­redshiftwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperAmazon (based on PostgreSQL)ClouderaKonrad von Backstrom
Initial release201220132018
Current release3.3.0, August 20190.8, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source
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++
Server operating systemshostedLinuxLinux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesrestrictedyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBCJavaScript
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reducefunctions in JavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
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 persistentyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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
Amazon RedshiftImpalaJSqlDb
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Recent citations in the news

SnapLogic Achieves Amazon Redshift Ready Designation
6 August 2020, Yahoo Finance

Datacoral Achieves Amazon Redshift Ready Designation
3 August 2020, PRNewswire

Manage and control your cost with Amazon Redshift Concurrency Scaling and Spectrum
28 July 2020, idk.dev

Federate access to your Amazon Redshift cluster with Active Directory Federation Services (AD FS): Part 2
23 July 2020, idk.dev

Develop an application migration methodology to modernize your data warehouse with Amazon Redshift
13 July 2020, idk.dev

provided by Google News

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

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

Shark: Real-time queries and analytics for big data
26 November 2012, O'Reilly Radar

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

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

provided by Google News

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