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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Axibase vs. Microsoft Azure AI Search vs. openGauss

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Axibase vs. Microsoft Azure AI Search vs. openGauss

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonAxibase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonopenGauss  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationSearch-as-a-service for web and mobile app developmentAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryaxibase.com/­docs/­atsd/­financeazure.microsoft.com/­en-us/­services/­searchgitee.com/­opengauss
opengauss.org
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsAxibase CorporationMicrosoftHuawei and openGauss community
Initial release20132016201320152019
Current release4.1.0, June 2022170315585V13.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaC, C++, Java
Server operating systemsLinuxLinuxLinuxhostedLinux
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyes infoshort, integer, long, float, double, decimal, stringyesyes
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.noyesnonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languagenoANSI SQL 2011
APIs and other access methodsJDBC
ODBC
LDAPJDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsGo
Java
PHP
Python
R
Ruby
C#
Java
JavaScript
Python
C
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesnoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache ImpalaAtos Standard Common RepositoryAxibaseMicrosoft Azure AI SearchopenGauss
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