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DBMS > Amazon Aurora vs. Hazelcast vs. Sphinx

System Properties Comparison Amazon Aurora vs. Hazelcast vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHazelcast  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA widely adopted in-memory data gridOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeSearch engine
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
Score6.45
Rank#57  Overall
#6  Search engines
Websiteaws.amazon.com/­rds/­aurorahazelcast.comsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlhazelcast.org/­imdg/­docssphinxsearch.com/­docs
DeveloperAmazonHazelcastSphinx Technologies Inc.
Initial release201520082001
Current release4.0, February 20203.2.1, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2, commercial licence 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 languageJavaC++
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesno
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 strategy
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesno
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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-standardRole-based access controlno
More information provided by the system vendor
Amazon AuroraHazelcastSphinx
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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More resources
Amazon AuroraHazelcastSphinx
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Recent citations in the news

When should I use Amazon RDS vs. Aurora Serverless?
13 August 2020, TechTarget

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

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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

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29 July 2020, Picayune Item

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26 July 2020, TechGraph

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, Internet

Coronavirus-themed spam surged 14,000% in two weeks says IBM
30 March 2020, TechRepublic

eCommerce Search & Personalization
6 May 2018, SitePoint

provided by Google News

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