DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Aurora vs. Kinetica vs. OmniSci

System Properties Comparison Amazon Aurora vs. Kinetica vs. OmniSci

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.00
Rank#52  Overall
#30  Relational DBMS
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.kinetica.comwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­CHAP_Aurora.htmlwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperAmazonKineticaMapD Technologies, Inc.
Initial release201520122016
Current release6.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++ and CUDA
Server operating systemshostedLinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon AuroraKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

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

Recent citations in the news

We talked to the exec behind Amazon Aurora, its leading Oracle rival
17 April 2019, Business Insider

Words to go: AWS databases
27 March 2019, TechTarget

Oracle vs. AWS: Compare cloud databases, PaaS and SaaS
19 April 2019, TechTarget

In Amazon shareholder letter, Bezos says AWS targeting 'specialized databases for specialized workloads'
11 April 2019, ZDNet

Jeff Bezos Explains Why "Wandering" Is Key to Amazon's Success
11 April 2019, Motley Fool

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

GPU Database Market 2016 Global Trend, Segmentation and Opportunities, Forecast 2024
14 April 2019, Market Research News

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

New Data Science Platforms Highlight Nvidia's GPU Conference
25 March 2019, eWeek

GPU Database Market 2016 Global Trend, Segmentation and Opportunities, Forecast 2024
14 April 2019, Market Research News

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
28 March 2019, Market Reports

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

provided by Google News

Job opportunities

Cloud Support Engineer I - Databases
Amazon Web Services, Inc., Herndon, VA

AWS Worldwide Tech Leader, Relational Databases
Amazon Web Services, Inc., Seattle, WA

Senior SDE, AWS AppSync
Amazon.com Services, Inc., Seattle, WA

Technical Evangelist – Database, Analytics, and Machine Learning
Amazon.com Services, Inc., United States

Senior Product Manager
Amazon Web Services, Inc., Palo Alto, CA

Sr. Solutions Engineer (West Coast)
Kinetica DB, Seattle, WA

Community Developer Advocate
OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Remote

Support Engineer - (NYC or Washington DC)
OmniSci, Washington, DC

Support Engineer (San Francisco/Bay Area)
OmniSci, San Jose, CA

Support Engineer (San Francisco/Bay Area)
OmniSci, San Francisco, CA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

New to the world of graph databases? Become an expert today with your copy of the Graph Databases for Beginners ebook.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Present your product here