DBMS > Amazon Aurora vs. Impala vs. Interbase

System Properties Comparison Amazon Aurora vs. Impala vs. Interbase

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Editorial information provided by DB-Engines
Name	Amazon Aurora  Xexclude from comparison	Impala  Xexclude from comparison	Interbase  Xexclude from comparison
Description	MySQL and PostgreSQL compatible cloud service by Amazon	Analytic DBMS for Hadoop	Light-weight proven RDBMS originally from Borland
Primary database model	Relational DBMS	Relational DBMS	Relational DBMS
Secondary database models	Document store	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 13.14 Rank #44   Overall #28   Relational DBMS	Score 17.79 Rank #40   Overall #25   Relational DBMS	Score 6.30 Rank #68   Overall #37   Relational DBMS
Website	aws.amazon.com/­rds/­aurora	www.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html	www.embarcadero.com/­products/­interbase
Technical documentation	docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.html	docs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html	docs.embarcadero.com/­products/­interbase
Developer	Amazon	Cloudera	Embarcadero
Initial release	2015	2013	1984
Current release		4.0.0, July 2021	InterBase 2020, December 2019
License Commercial or Open Source	commercial	Open Source Apache Version 2	commercial
Cloud-based only Only available as a cloud service	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++	C
Server operating systems	hosted	Linux	Android iOS Linux OS X Windows
Data scheme	yes	yes	yes
Typing predefined data types such as float or date	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.	yes	no	no export as XML data possible
Secondary indexes	yes	yes	yes
SQL Support of SQL	yes	SQL-like DML and DDL statements	yes
APIs and other access methods	ADO.NET JDBC ODBC	JDBC ODBC	ADO.NET JDBC ODBC
Supported programming languages	Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	All languages supporting JDBC/ODBC	.Net C C++ Delphi Java Object Pascal PHP Ruby
Server-side scripts Stored procedures	yes	yes user defined functions and integration of map-reduce	yes Interbase procedure and trigger language
Triggers	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	selectable replication factor	Interbase Change Views
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes query execution via MapReduce	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes Multiversion concurreny control
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes
User concepts Access control	fine grained access rights according to SQL-standard	Access rights for users, groups and roles based on Apache Sentry and Kerberos	fine grained access rights according to SQL-standard
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More resources
	Amazon Aurora	Impala	Interbase
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger The popularity of cloud-based DBMSs has increased tenfold in four years 7 February 2017, Matthias Gelbmann Amazon - the rising star in the DBMS market 3 August 2015, Matthias Gelbmann show all