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DBMS > Apache Impala vs. Hyprcubd vs. Microsoft Azure AI Search vs. PostGIS

System Properties Comparison Apache Impala vs. Hyprcubd vs. Microsoft Azure AI Search vs. PostGIS

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostGIS  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopServerless Time Series DBMSSearch-as-a-service for web and mobile app developmentSpatial extension of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSSearch engineSpatial DBMS
Secondary database modelsDocument storeVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteimpala.apache.orghyprcubd.com (offline)azure.microsoft.com/­en-us/­services/­searchpostgis.net
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-us/­azure/­searchpostgis.net/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHyprcubd, Inc.Microsoft
Initial release201320152005
Current release4.1.0, June 2022V13.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC
Server operating systemsLinuxhostedhosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, 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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
gRPC (https)RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonouser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberostoken accessyes infousing Azure authenticationyes infobased on PostgreSQL

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More resources
Apache ImpalaHyprcubdMicrosoft Azure AI SearchPostGIS
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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