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

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

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionA widely adopted in-memory data gridFully managed big data interactive analytics platformExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelKey-value storeRelational DBMSObject oriented 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
Score2.66
Rank#97  Overall
#48  Relational DBMS
Score0.51
Rank#205  Overall
#11  Object oriented DBMS
Websitehazelcast.comazure.microsoft.com/­services/­data-explorerobjectbox.io
Technical documentationhazelcast.org/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.io
DeveloperHazelcastMicrosoftObjectBox Limited
Initial release200820192017
Current release4.0, February 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsAll OS with a Java VMhostedAndroid
iOS
Linux
macOS
Windows
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 strategyyesno
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
C
Go
Java
JavaScript infoplanned (as of Jan 2019)
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesYes. Languages: KQL, Python, Rno
Triggersyes infoEventsTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
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 AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID
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.yesnono
User concepts infoAccess controlRole-based access controlAzure Active Directory Authenticationyes
More information provided by the system vendor
HazelcastMicrosoft Azure Data ExplorerObjectBox
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
News

Connecting database performance and business value – a fast edge database is a money saver
20 February 2020

MoodSpace Mobile App Use Case
20 January 2020

ObjectBox Go 1.1
16 December 2019

ObjectBox EdgeX v1.1 – database with ARM32 support
27 November 2019

Sync.Drone: a drone project based on ObjectBox
20 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
HazelcastMicrosoft Azure Data ExplorerObjectBox
Recent citations in the news

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

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

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

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

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

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

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

provided by Google News

ObjectBox has built a distributed database for the IoT
17 September 2019, Stacey on IoT

Global Object-Oriented Databases Software Market 2020, Trend, CAGR Status, Growth, Analysis and Forecast To 2026
21 February 2020, Nyse Nasdaq Live

Object-Oriented Databases Software Market 2026 Size, Application, Share, Qualitative Research And Competitive Strategy | Google, Microsoft, InterSystems
14 February 2020, Chronicle 99

Munich-founded database startup ObjectBox raises $2 million
3 December 2018, Tech.eu

ObjectBox Raises $2M in Funding
4 December 2018, FinSMEs

provided by Google News

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