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DBMS > Amazon Aurora vs. Amazon DocumentDB vs. Ignite

System Properties Comparison Amazon Aurora vs. Amazon DocumentDB vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFast, scalable, highly available, and fully managed MongoDB-compatible database serviceApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.18
Rank#47  Overall
#28  Relational DBMS
Score0.84
Rank#166  Overall
#25  Document stores
Score5.00
Rank#62  Overall
#10  Key-value stores
#35  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­documentdbignite.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­documentdb/­resourcesapacheignite.readme.io/­docs
DeveloperAmazonApache Software Foundation
Initial release201520192015
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .Net
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSON (MongoDB compatible)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)
Triggersyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACID
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
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesSecurity Hooks for custom implementations

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More resources
Amazon AuroraAmazon DocumentDBIgnite
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Recent citations in the news

What is Amazon Aurora?
23 December 2019, TechRadar

AWS: Your complete guide to Amazon Web Services & features
1 February 2020, TechRadar India

MongoDB Appoints Mark Porter to the Board of Directors
10 February 2020, Yahoo Finance

Unleashed Software continues growth with AWS
18 February 2020, IT Brief Australia

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10 February 2020, DataCenterNews North America

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AWS: Your complete guide to Amazon Web Services & features
1 February 2020, TechRadar India

Amazon DocumentDB Speeds Up With Slow Queries Logging
20 August 2019, Computer Business Review

AWS Announces Amazon DocumentDB (with MongoDB Compatibility)
9 January 2019, Business Wire

AWS DocumentDB and MongoDB Atlas: Friend or Foe?
25 July 2019, Beth.Technology

How We'll Know If Amazon's DocumentDB Is Hurting MongoDB
21 March 2019, The Motley Fool

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Adoption of Digital Integration Hub Architectures Built on the GridGain In-Memory Computing Platform Growing Rapidly
30 January 2020, GlobeNewswire

GridGain Offers New Consulting Services Packages for Apache Ignite and GridGain Community Edition
1 August 2019, GlobeNewswire

GridGain Expands Support for Apache Ignite
8 February 2019, Datanami

Denis Magda on Continuous Deep Learning with Apache Ignite
16 September 2019, InfoQ.com

GridGain Shares Deep In-Memory Computing Expertise at Industry Events Around the World
14 January 2020, GlobeNewswire

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Job opportunities

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