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DBMS > Apache Doris vs. Apache Impala vs. Atos Standard Common Repository vs. EDB Postgres vs. Microsoft Azure AI Search

System Properties Comparison Apache Doris vs. Apache Impala vs. Atos Standard Common Repository vs. EDB Postgres vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEDB Postgres  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMSSearch engine
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
impala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.enterprisedb.comazure.microsoft.com/­en-us/­services/­search
Technical documentationgithub.com/­apache/­doris/­wikiimpala.apache.org/­impala-docs.htmlwww.enterprisedb.com/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsEnterpriseDBMicrosoft
Initial release20172013201620052015
Current release1.2.2, February 20234.1.0, June 2022170314, December 2021V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialcommercial infoBSD for PostgreSQL-componentscommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC
Server operating systemsLinuxLinuxLinuxLinux
Windows
hosted
Data schemeyesyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reducenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infocell divisionhorizontal partitioning infoby hash, list or rangeSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryesMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
Apache DorisApache ImpalaAtos Standard Common RepositoryEDB PostgresMicrosoft Azure AI Search
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