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DBMS > Impala vs. Microsoft Azure Table Storage

System Properties Comparison Impala vs. Microsoft Azure Table Storage

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Our visitors often compare Impala and Microsoft Azure Table Storage with Microsoft SQL Server, Cassandra and MongoDB.

Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.57
Rank#37  Overall
#23  Relational DBMS
Score4.54
Rank#66  Overall
#5  Wide column stores
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperClouderaMicrosoft
Initial release20132012
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++
Server operating systemsLinuxhosted
Data schemeyesschema-free
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking
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 controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights based on private key authentication or shared access signatures

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More resources
ImpalaMicrosoft Azure Table Storage
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 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

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

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14 January 2019, InfoWorld

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10 January 2019, The Register

Talend Introduces Fast, Frictionless Data Loading for Microsoft Azure
8 February 2019, MarTech Advisor

What is Microsoft Azure: Services, Certifications and Benefits
30 July 2019, Toolbox

provided by Google News

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