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DBMS > Amazon Aurora vs. Hazelcast vs. MemSQL

System Properties Comparison Amazon Aurora vs. Hazelcast vs. MemSQL

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHazelcast  Xexclude from comparisonMemSQL  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA widely adopted in-memory data gridMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Document store
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
Score5.50
Rank#64  Overall
#35  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorahazelcast.comwww.memsql.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlhazelcast.org/­imdg/­docsdocs.memsql.com
DeveloperAmazonHazelcastMemSQL Inc.
Initial release201520082013
Current release4.0, February 20207.1.4, July 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer 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.
MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux info64 bit version required
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 strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes, but no triggers and foreign keys
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
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
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesyes
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated MapSource-replica replication
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 AlgorithmImmediate Consistency only within each node
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 infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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 controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraHazelcastMemSQL
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 AuroraHazelcastMemSQL
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Recent citations in the news

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29 July 2020, idk.dev

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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
20 July 2020, IoT World Today

In-Memory Data Grid Market 2020 Size with Top Key Players are Oracle,IBM,Hazelcast,Scale Out Software,Tibco Software,Software AG,Gigaspaces
28 July 2020, Bulletin Line

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MemSQL Expands Collaboration With Amazon Web Services, Joins ISV Workload Migration Program
15 July 2020, Business Wire

MemSQL Establishes Commitment to Latin American Market With LATBC Strategic Partnership
22 July 2020, Business Wire

Middle Eastern Technology Company Partners With BCT on Effort to Limit COVID-19 Spread Using MemSQL
29 July 2020, Business Wire

MemSQL raises $50M in debt facility for its real-time database platform
11 May 2020, TechCrunch

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7 December 2019, Blocks and Files

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Job opportunities

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