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DBMS > Apache Impala vs. Microsoft Azure AI Search vs. Sadas Engine

System Properties Comparison Apache Impala vs. Microsoft Azure AI Search vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSearch-as-a-service for web and mobile app developmentSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score5.72
Rank#66  Overall
#8  Search engines
Score0.06
Rank#371  Overall
#155  Relational DBMS
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.sadasengine.com
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-us/­azure/­searchwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftSADAS s.r.l.
Initial release201320152006
Current release4.1.0, June 2022V18.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxhostedAIX
Linux
Windows
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud servicenone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.nonoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache ImpalaMicrosoft Azure AI SearchSadas Engine
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