DB-EngineseXtremeDB: 5 9's high availability databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hazelcast vs. Linter vs. Microsoft Azure Data Explorer vs. MonetDB

System Properties Comparison Hazelcast vs. Linter vs. Microsoft Azure Data Explorer vs. MonetDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridRDBMS for high security requirementsFully managed big data interactive analytics platformA relational database management system that stores data in columns
Primary database modelKey-value storeRelational DBMSRelational DBMS infocolumn orientedRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.47
Rank#42  Overall
#5  Key-value stores
Score0.03
Rank#330  Overall
#137  Relational DBMS
Score3.71
Rank#83  Overall
#42  Relational DBMS
Score1.96
Rank#125  Overall
#62  Relational DBMS
Websitehazelcast.comlinter.ru/­enazure.microsoft.com/­services/­data-explorerwww.monetdb.org
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.monetdb.org/­Documentation
DeveloperHazelcastrelex.ru/­enMicrosoftMonetDB BV
Initial release2008199020192004
Current release4.0.3, September 2020cloud service with continuous releasesJun2020-SP1, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C
Server operating systemsAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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 indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyesKusto Query Language (KQL), SQL subsetyes infoSQL 2003 with some extensions
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQLYes, possible languages: KQL, Python, Ryes, in SQL, C, R
Triggersyes infoEventsyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAzure Active Directory Authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
HazelcastLinterMicrosoft Azure Data ExplorerMonetDB
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Kusto Query Language (innovative query language, optimized for high performance data...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Taking MonetDB/e for a taxi ride
12 July 2020

The MonetDB/e Python interface for data analytics
10 July 2020

MonetDB/e, a mature embedded SQL DBMS
8 July 2020

Doctor, what’s happening with my query in the MonetDB kernel?
15 June 2020

From automake to CMake: a facelift for our build infrastructure
9 June 2020

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

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HazelcastLinterMicrosoft Azure Data ExplorerMonetDB
Recent citations in the news

Hazelcast Advances Leadership, Lowers Barrier of Adoption to In-Memory Digital Integration Hubs
9 September 2020, PRNewswire

Hazelcast Adds SQL Support in Latest Upgrade -- ADTmag
17 September 2020, ADT Magazine

In Memory Computing Market 2026| SAP • TIBCO • Oracle • Software • IBM • Hazelcast • Altibase • GridGain Systems • Microsoft; Post Pandemic Opportunities
28 September 2020, The Daily Chronicle

Stream Processing Is a Great Addition to Data Grid, Hazelcast Finds
14 September 2020, Datanami

Global In-Memory Data Grids Market Strategic Analysis of Current Industry Figures With Forecasts Growth by 2024 | IBM, Software AG, Hazelcast – The Daily Chronicle
29 September 2020, The Daily Chronicle

provided by Google News

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

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

Azure Updates: AI supercomputing; Data Share & Data Explorer; Synapse Analytics; Blob Storage
27 August 2020, MSDynamicsWorld.com

Azure Updates: Immersive Reader; Blob versioning; IoT Plug and Play; Cost Management
4 September 2020, MSDynamicsWorld.com

Zoomd Takes Another Step Towards Becoming an Industry Leader After Adopting Microsoft's Azure Data Explorer
4 December 2019, PRNewswire

provided by Google News

MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

RDBMS Software Market Size, Share, Growth Rate, Revenue, Applications, Industry Demand & Forecast to 2025
23 September 2020, thedailychronicle.in

RDBMS Software Market 2020 Business Opportunities and Leading Brands Analysis –Cubrid, TmaxSoft, SQLite, Oracle, Microsoft, PostgreSQL Global Development Group, ThinkSQL, SolarWinds IT Operations Management, IBM, CA Technologies, FrontBase, MonetDB, VoltDB
24 September 2020, Crypto Daily

Integrating data science and relational systems — CWI Amsterdam
10 June 2020, Centrum Wiskunde & Informatica (CWI)

Tracing Stars with MonetDB in the Cloud
10 August 2015, Centrum Wiskunde & Informatica (CWI)

provided by Google News

Job opportunities

Data Scientist I
Bank of America, Plano, TX

Java Developers
Nithya Information Systems, Ann Arbor, MI

Intranet Java Developer
Menard, Inc, Eau Claire, WI

Assistant Vice President, Engineer
Deutsche Bank, Cary, NC

Java Engineer
HYR Global Source Inc, Newark, NY

Web Analyst
Rational, Washington State

BI Developer, Data Engineer
Microsoft, Redmond, WA

Data Engineer
Amplify Consulting Partners, Bellevue, WA

Service Engineer II
Microsoft, Redmond, WA

Senior Software Engineer
Microsoft, Redmond, WA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here