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DBMS > Amazon Aurora vs. Hazelcast vs. Ignite

System Properties Comparison Amazon Aurora vs. Hazelcast vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHazelcast  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA widely adopted in-memory data gridApache 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 DBMSKey-value storeKey-value store
Relational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.76
Rank#45  Overall
#28  Relational DBMS
Score9.29
Rank#43  Overall
#5  Key-value stores
Score5.08
Rank#71  Overall
#11  Key-value stores
#39  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorahazelcast.comignite.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlhazelcast.org/­imdg/­docsapacheignite.readme.io/­docs
DeveloperAmazonHazelcastApache Software Foundation
Initial release201520082015
Current release4.0, February 2020Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
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 languageJavaC++, Java, .Net
Server operating systemshostedAll OS with a Java VMLinux
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.yesyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
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
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)
Triggersyesyes infoEventsyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlSecurity Hooks for custom implementations
More information provided by the system vendor
Amazon AuroraHazelcastIgnite
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraHazelcastIgnite
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Recent citations in the news

Migrating from SAP ASE to Amazon Aurora PostgreSQL
11 August 2020, idk.dev

Using logical replication to replicate managed Amazon RDS for PostgreSQL and Amazon Aurora to self-managed PostgreSQL
29 July 2020, idk.dev

AWS Announces General Availability of Amazon RDS Proxy
15 July 2020, InfoQ.com

How Minted scaled their online marketplace on Cyber Monday 2019 by migrating to AWS cloud and Amazon Aurora
3 August 2020, idk.dev

Carmaker leases 500K square feet at massive industrial development in Aurora
7 August 2020, Denver Business Journal

provided by Google News

Hazelcast Simplifies Application Modernization with Event Driven Architectures
12 August 2020, ADT Magazine

Hazelcast, Sorint Expand Partnership to Address Rapidly Increasing In-Memory Computing Adoption
15 July 2020, PRNewswire

How Hazelcast hopes to make digital transformation mainstream
27 July 2020, TechRepublic

From Edge to Cloud: Boosting Data-Driven Business Performance in Times of Uncertainty
31 July 2020, IoT World Today

Global In-Memory Data Grids Software Market 2020 Growth Rate – Hazelcast, IBM, GridGain, Scaleout Software Inc, TIBCO Software, Software AG
12 August 2020, StartupNG

provided by Google News

GridGain Control Center for On-Premises Use Lets Companies Manage, Monitor and Develop Applications on GridGain and Apache Ignite Inside Their Network
16 July 2020, GlobeNewswire

GridGain's Strong Market Momentum Continues in 2020
23 July 2020, GlobeNewswire

GridGain Experts Discuss In-Memory Computing Technology and Benefits, Provide Deployment Insights at Multiple Online Events
14 July 2020, GlobeNewswire

GridGain and Tech Mahindra Partner on Leveraging In-Memory Computing to Solve Application Speed and Scalability Challenges
22 July 2020, GlobeNewswire

Scaling applications for COVID-19 spikes
23 July 2020, App Developer Magazine

provided by Google News

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