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DBMS > Hazelcast vs. Kinetica vs. Microsoft Azure Data Explorer

System Properties Comparison Hazelcast vs. Kinetica vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionA widely adopted in-memory data gridGPU-accelerated database for real-time analysis of large and streaming datasetsFully managed big data interactive analytics platform
Primary database modelKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.28
Rank#46  Overall
#5  Key-value stores
Score0.59
Rank#198  Overall
#95  Relational DBMS
Score2.66
Rank#97  Overall
#48  Relational DBMS
Websitehazelcast.comwww.kinetica.comazure.microsoft.com/­services/­data-explorer
Technical documentationhazelcast.org/­documentationwww.kinetica.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperHazelcastKineticaMicrosoft
Initial release200820122019
Current release3.12.2, August 20196.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
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 languageJavaC, C++
Server operating systemsAll OS with a Java VMLinuxhosted
Data schemeschema-freeyesyes
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.yes infothe object must implement a serialization strategynoyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsKusto Query Language (KQL), SQL subset
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesuser defined functionsYes. Languages: KQL, Python, R
Triggersyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangeTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMaster-slave replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednono
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 infoGPU vRAM or System RAMno
User concepts infoAccess controlRole-based access controlAccess rights for users and roles on table levelAzure Active Directory Authentication
More information provided by the system vendor
HazelcastKineticaMicrosoft Azure Data Explorer
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
HazelcastKineticaMicrosoft Azure Data Explorer
Recent citations in the news

In-memory computing platform Hazelcast raises $28.5m
11 February 2020, Finextra

Hazelcast raises $50 million to deliver speedy in-memory compute services
11 February 2020, VentureBeat

Hazelcast raises additional $50M in Series D funding to meet growing demands for in-memory computing
12 February 2020, TechStartups.com

Leading In-Memory Computing Platform Hazelcast Raises $50 Million Funding
13 February 2020, Pulse 2.0

The Weekly Notable Startup Funding Report: 2/17/20
17 February 2020, AlleyWatch

provided by Google News

Kinetica Recognized by InfoWorld as 2020 Technology of the Year
10 February 2020, Yahoo Finance

Kinetica Poised to Deliver Active Analytics Across Singaporean Enterprises and Government After Being Accredited By IMDA
12 February 2020, Yahoo Finance

Lucrative Opportunities in GPU Database Market 2027 - Emerging
24 January 2020, openPR

GPU Database – Know Factors Driving the Market to Record Growth | Kinetica, Omnisci, Sqream
22 January 2020, The Market Journal

20.7% Growth Rate for GPU Database Market by 2023 | Overview, Top Technologies, Key Insights and Company Profiles
17 February 2020, TechNews.mobi

provided by Google News

How to share data in place from Azure Data Explorer - Microsoft
20 December 2019, Channel 9

Azure Data Explorer for IoT Data Analytics | Internet of Things Show - Microsoft
2 September 2019, Channel 9

How to use Azure Data Explorer for big data analysis
12 February 2019, InfoWorld

Microsoft announces reserved capacity offerings for six more Azure services
13 November 2019, Neowin

An overview of Azure Data Explorer (ADX) - Microsoft
7 February 2019, Channel 9

provided by Google News

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