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DBMS > Apache Impala vs. Elasticsearch vs. MaxDB vs. Microsoft Azure AI Search

System Properties Comparison Apache Impala vs. Elasticsearch vs. MaxDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonElasticsearch  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA robust and reliable RDBMS optimized to run all major SAP solutionsSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSSearch engineRelational DBMSSearch engine
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score2.65
Rank#111  Overall
#55  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websiteimpala.apache.orgwww.elastic.co/­elasticsearchmaxdb.sap.comazure.microsoft.com/­en-us/­services/­search
Technical documentationimpala.apache.org/­impala-docs.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmaxdb.sap.com/­documentationlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaElasticSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release2013201019842015
Current release4.1.0, June 20228.6, January 20237.9.10.12, February 2024V1
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoElastic Licensecommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinuxAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
hosted
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyesno
Triggersnoyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
Apache ImpalaElasticsearchMaxDB infoformerly named Adabas-DMicrosoft Azure AI Search
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