DBMS > Amazon Aurora vs. Impala vs. JanusGraph vs. SAP IQ

System Properties Comparison Amazon Aurora vs. Impala vs. JanusGraph vs. SAP IQ

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Editorial information provided by DB-Engines
Name	Amazon Aurora  Xexclude from comparison	Impala  Xexclude from comparison	JanusGraph successor of Titan  Xexclude from comparison	SAP IQ former name: Sybase IQ  Xexclude from comparison
Description	MySQL and PostgreSQL compatible cloud service by Amazon	Analytic DBMS for Hadoop	A Graph DBMS optimized for distributed clusters It was forked from the latest code base of Titan in January 2017	Columnar RDBMS optimized for Big Data analytics
Primary database model	Relational DBMS	Relational DBMS	Graph DBMS	Relational DBMS column-oriented
Secondary database models	Document store	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 12.86 Rank #45   Overall #29   Relational DBMS	Score 17.49 Rank #40   Overall #25   Relational DBMS	Score 2.48 Rank #115   Overall #8   Graph DBMS	Score 4.65 Rank #81   Overall #43   Relational DBMS
Website	aws.amazon.com/­rds/­aurora	www.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html	janusgraph.org	www.sap.com/­products/­sybase-iq-big-data-management.html
Technical documentation	docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.html	docs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html	docs.janusgraph.org	help.sap.com/­iq
Developer	Amazon	Cloudera	Linux Foundation; originally developed as Titan by Aurelius	SAP, formerly Sybase
Initial release	2015	2013	2017	1994
Current release		4.0.0, July 2021	0.6.1, January 2022	16.1 SPS04, April 2019
License Commercial or Open Source	commercial	Open Source Apache Version 2	Open Source Apache 2.0	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++	Java
Server operating systems	hosted	Linux	Linux OS X Unix Windows	AIX HP-UX Linux Solaris 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.	yes	no	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	SQL-like DML and DDL statements	no	yes
APIs and other access methods	ADO.NET JDBC ODBC	JDBC ODBC	Java API TinkerPop Blueprints TinkerPop Frames TinkerPop Gremlin TinkerPop Rexster	ADO.NET JDBC ODBC RESTful HTTP API
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	Clojure Java Python	C C# C++ Java Perl PHP Python Ruby
Server-side scripts Stored procedures	yes	yes user defined functions and integration of map-reduce	yes	yes
Triggers	yes	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding	yes depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)	shared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	selectable replication factor	yes	SAP/Sybase Replication Server
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes query execution via MapReduce	yes via Faunus, a graph analytics engine	Hadoop integration
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	no	yes Relationships in graphs	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no		no
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	User authentification and security via Rexster Graph Server	fine grained access rights according to SQL-standard
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More resources
	Amazon Aurora	Impala	JanusGraph successor of Titan	SAP IQ former name: Sybase IQ
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