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DBMS > Apache Impala vs. PostGIS vs. SQream DB

System Properties Comparison Apache Impala vs. PostGIS vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPostGIS  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopSpatial extension of PostgreSQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteimpala.apache.orgpostgis.netsqream.com
Technical documentationimpala.apache.org/­impala-docs.htmlpostgis.net/­documentationdocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSQream Technologies
Initial release201320052017
Current release4.1.0, June 20223.4.2, February 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Types
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.noyes
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsuser defined functions in Python
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on PostgreSQLnone
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on PostgreSQL

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More resources
Apache ImpalaPostGISSQream DB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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