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DBMS > ClickHouse vs. Hazelcast vs. Microsoft Azure SQL Database

System Properties Comparison ClickHouse vs. Hazelcast vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSKey-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
Score7.05
Rank#55  Overall
#31  Relational DBMS
Score9.72
Rank#42  Overall
#5  Key-value stores
Score64.40
Rank#17  Overall
#11  Relational DBMS
Websiteclickhouse.techhazelcast.comazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationclickhouse.tech/­docshazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperYandex LLCHazelcastMicrosoft
Initial release201620082010
Current releasev20.9.3.45-stable, October 20204.0.3, September 2020V12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VMhosted
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.noyes infothe object must implement a serialization strategyyes
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like query languageyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesTransact SQL
Triggersnoyes 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 methodsnoyesno
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone 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.yesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseHazelcastMicrosoft 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseHazelcastMicrosoft Azure SQL Database infoformerly SQL Azure
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Recent citations in the news

Altinity grabs $4M seed to build cloud version of ClickHouse open-source data warehouse
1 October 2020, TechCrunch

Machine Learning Capabilities Come to the Majority of Open Source Databases with MindsDB AI-Tables
20 October 2020, PR Web

Database footprints and Database as a Service continue to grow, but many companies facing unexpected cloud bills, according to Percona
22 October 2020, DevOps.com

The Crunchbase News Briefing: Thurs., Oct. 1
1 October 2020, Crunchbase News

From Russia with OLAP: Percona uses ClickHouse analytics
10 October 2019, ComputerWeekly.com

provided by Google News

Hazelcast to Provide Additional Capabilities to IBM Cloud Pak for Multicloud Management
7 October 2020, PRNewswire

Hazelcast Exemplifies Cloud-Native as AWS Partner Network Advanced Technology Partner
21 October 2020, PRNewswire

Hazelcast Archives
30 October 2020, Stock Market Vista

In-Memory Data Grid Market SWOT Analysis, by Key Players: Oracle, IBM, Hazelcast, Scale Out Software, Tibco Software, Software AG, Gigaspaces, Gridgain Systems, Alachisoft, Pivotal, Tmaxsoft, Hitachi
30 October 2020, Aerospace Journal

Global In Memory Data Grid Market (2020 to 2025) - Growth, Trends, and Forecast
28 October 2020, Benzinga

provided by Google News

Creating Your First Azure SQL Database | Data Exposed - Microsoft
27 October 2020, Channel 9

Azure SQL Capacity Planning: Scenarios | Data Exposed - Microsoft
8 October 2020, Channel 9

SolarWinds to acquire SentryOne
29 October 2020, ChannelLife Australia

Mainsail Partners Announces Sale of SentryOne
29 October 2020, PR Web

Build SQL Database Projects Easily in Azure Data Studio - Microsoft
15 October 2020, Channel 9

provided by Google News

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