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DBMS > Impala vs. Microsoft Access vs. Microsoft Azure Search

System Properties Comparison Impala vs. Microsoft Access vs. Microsoft Azure Search

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.93
Rank#38  Overall
#23  Relational DBMS
Score119.24
Rank#11  Overall
#7  Relational DBMS
Score7.37
Rank#57  Overall
#7  Search engines
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­en-us/­azure/­search
DeveloperClouderaMicrosoftMicrosoft
Initial release201319922015
Current release3.4.0, April 20201902 (16.0.11328.20222), March 2019V1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLshosted
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineno
Triggersnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes
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 Kerberosno infoa simple user-level security was built in till version Access 2003yes infousing Azure authentication

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More resources
ImpalaMicrosoft AccessMicrosoft Azure Search
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Recent citations in the news

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

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

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

Unravel Data Adds Native Support for Impala and Kafka
29 June 2017, insideBIGDATA

Cloudera's Kudu: Like HDFS and HBase in one
28 September 2015, InfoWorld

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17 November 2021, BollyInside

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19 November 2021, DirectionsMag.com

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30 August 2021, MakeUseOf

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23 November 2021, Analytics Insight

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22 April 2021, CRN

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