DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Impala vs. Microsoft Azure SQL Data Warehouse

System Properties Comparison Impala vs. Microsoft Azure SQL Data Warehouse

Please select another system to include it in the comparison.

Our visitors often compare Impala and Microsoft Azure SQL Data Warehouse with Microsoft SQL Server, Oracle and Hive.

Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.74
Rank#37  Overall
#23  Relational DBMS
Score8.44
Rank#43  Overall
#26  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlazure.microsoft.com/­services/­sql-data-warehouse
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­azure/­sql-data-warehouse
DeveloperClouderaMicrosoft
Initial release20132016
Current release3.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinuxhosted
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 SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ImpalaMicrosoft Azure SQL Data Warehouse
DB-Engines blog posts

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

show all

Recent citations in the news

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

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

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

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark
3 July 2014, GigaOM

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

provided by Google News

Dremio releases Data Lake Engines for AWS and Azure
17 September 2019, ZDNet

Microsoft Previews Azure Private Link for Service Connections
18 September 2019, Redmondmag.com

Microsoft Unveils Service To Keep Azure Connections Private
18 September 2019, Redmond Channel Partner

Top 8 Cloud Data Warehouses
10 September 2019, Datamation

SQL Server 2019 RC1 refresh released, with focus on Big Data Clusters
30 August 2019, Neowin

provided by Google News

Job opportunities

Consultant, Strategy & Analytics, Analytics & Cognitive
Deloitte, New York, NY

Business Analyst
Priceline.com, Norwalk, CT

Cloud Admin
Avani Technology Solutions Inc, Orange, CA

Business Intelligence Developer
Early Warning Services, Scottsdale, AZ

Principal Database Engineer
Surescripts, LLC, Minneapolis, MN

Manager - Azure Data Engineer
Publicis Sapient, Houston, TX

Analytics & Reporting Consultant -Teradata DB
Blue Cross Blue Shield of IL, MT, NM, OK & TX, Chicago, IL

Senior Data Warehouse Developer
Texas Capital Bank, Richardson, TX

Consultant, Strategy & Analytics, Analytics & Cognitive
Deloitte, Charlotte, NC

Manager, Information Architect
AMAG Pharmaceuticals, Inc., Waltham, MA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Present your product here