DBMS > Apache Impala vs. Infobright vs. PostGIS vs. SAP Advantage Database Server

System Properties Comparison Apache Impala vs. Infobright vs. PostGIS vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Apache Impala  Xexclude from comparison	Infobright  Xexclude from comparison	PostGIS  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Analytic DBMS for Hadoop	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Spatial extension of PostgreSQL	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Relational DBMS	Relational DBMS	Spatial DBMS	Relational DBMS
Secondary database models	Document store		Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 12.45 Rank #40   Overall #24   Relational DBMS	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 21.72 Rank #29   Overall #1   Spatial DBMS
Website	impala.apache.org	ignitetech.com/­softwarelibrary/­infobrightdb	postgis.net	www.sap.com/products/advantage-database-server.html
Technical documentation	impala.apache.org/­impala-docs.html		postgis.net/­documentation
Developer	Apache Software Foundation Apache top-level project, originally developed by Cloudera	Ignite Technologies Inc.; formerly InfoBright Inc.		Sybase, SAP
Initial release	2013	2005	2005	1993
Current release	4.1.0, June 2022		3.4.2, February 2024
License Commercial or Open Source	Open Source Apache Version 2	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	Open Source GPL v2.0	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++	C	C
Server operating systems	Linux	Linux Windows		Linux Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	yes	no
Secondary indexes	yes	no Knowledge Grid Technology used instead	yes	yes
SQL Support of SQL	SQL-like DML and DDL statements	yes	yes	yes
APIs and other access methods	JDBC ODBC	ADO.NET JDBC ODBC		.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages supporting JDBC/ODBC	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl		Delphi Perl PHP
Server-side scripts Stored procedures	yes user defined functions and integration of map-reduce	no	user defined functions	yes
Triggers	no	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	none	yes based on PostgreSQL	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor	Source-replica replication	yes based on PostgreSQL	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes query execution via MapReduce	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	no	no caching of (temporary) tables can be configured
User concepts Access control	Access rights for users, groups and roles based on Apache Sentry and Kerberos	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	yes based on PostgreSQL	fine grained access rights according to SQL-standard
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More resources
	Apache Impala	Infobright	PostGIS	SAP Advantage Database Server former name: Sybase ADS
DB-Engines blog posts			Spatial database management systems 6 April 2021, Matthias Gelbmann show all
Recent citations in the news	Apache Impala becomes Top-Level Project 28 November 2017, SDTimes.com Cloudera Bringing Impala to AWS Cloud 28 November 2017, Datanami Apache Doris just 'graduated': Why care about this SQL data warehouse 24 June 2022, InfoWorld Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop 12 March 2017, Uber Updates & Upserts in Hadoop Ecosystem with Apache Kudu 27 October 2017, KDnuggets provided by Google News			SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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