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DBMS > Hazelcast vs. Microsoft Azure SQL Database

System Properties Comparison Hazelcast vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionA widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.29
Rank#43  Overall
#5  Key-value stores
Score56.85
Rank#17  Overall
#11  Relational DBMS
Websitehazelcast.comazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­sql-database
DeveloperHazelcastMicrosoft
Initial release20082010
Current release4.0, February 2020V12
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.yes infothe object must implement a serialization strategyyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesTransact SQL
Triggersyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
HazelcastMicrosoft Azure SQL Database infoformerly SQL Azure
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
HazelcastMicrosoft Azure SQL Database infoformerly SQL Azure
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Recent citations in the news

Hazelcast Simplifies Application Modernization with Event-Driven Architectures
14 July 2020, PRNewswire

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
20 July 2020, IoT World Today

Event Stream Processing Software Market to Observe Significant Growth Due to Growing Demand | Amazon, Apache Spark, Confluent, Crosser, Eventador, Hazelcast
8 August 2020, Levee Report

provided by Google News

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