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DBMS > Amazon Aurora vs. HEAVY.AI

System Properties Comparison Amazon Aurora vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.03
Rank#48  Overall
#30  Relational DBMS
Score2.57
Rank#126  Overall
#60  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.heavy.ai
DeveloperAmazonHEAVY.AI, Inc.
Initial release20152016
Current release5.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemshostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
Supported programming languagesAda
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/Thrift
Python
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon AuroraHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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Recent citations in the news

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 16
31 January 2024, AWS Blog

Announcing Amazon Aurora Limitless Database
27 November 2023, AWS Blog

Accelerate generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon Web Services
9 February 2024, AWS Blog

AWS announces Amazon Aurora PostgreSQL integration with Amazon Bedrock for Generative AI
21 December 2023, AWS Blog

AWS announces Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift (Public Preview)
28 November 2023, AWS Blog

provided by Google News

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time ML Capabilities
19 April 2023, Datanami

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14 April 2023, InfoWorld

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Delivers Digital Twin for Telco Network Planning and Operations Based on NVIDIA Omniverse
20 September 2022, NVIDIA

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

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