DBMS > Microsoft Azure Data Explorer vs. mSQL vs. TypeDB

System Properties Comparison Microsoft Azure Data Explorer vs. mSQL vs. TypeDB

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Editorial information provided by DB-Engines

Name

Description

Fully managed big data interactive analytics platform

mSQL (Mini SQL) is a simple and lightweight RDBMS

TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language

Primary database model

Relational DBMS

column oriented

Relational DBMS

Graph DBMS
Relational DBMS

Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.

Secondary database models

Document store

If 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

this 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

support 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

see docs.microsoft.com/en-us/azure/data-explorer/time-series-analysis

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	7.54
Rank	#58	Overall
	#34	Relational DBMS

Score	1.72
Rank	#136	Overall
	#66	Relational DBMS

Score	0.67
Rank	#210	Overall
	#18	Graph DBMS
	#101	Relational DBMS

Website

azure.microsoft.com/services/data-explorer

hughestech.com.au/products/msql

vaticle.com

Technical documentation

docs.microsoft.com/en-us/azure/data-explorer

docs.vaticle.com

Developer

Microsoft

Hughes Technologies

Vaticle (formerly Grakn Labs)

Initial release

2019

1994

2016

Current release

cloud service with continuous releases

4.4, October 2021

2.8.1, April 2022

License

Commercial or Open Source

commercial

free licenses can be provided

Open Source

GPL Version 3, commercial licenses available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Linux
OS X
Windows

Data scheme

Fixed schema with schema-less datatypes (dynamic)

yes

Typing

predefined data types such as float or date

yes

bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

all fields are automatically indexed

yes

SQL

Support of SQL

Kusto Query Language (KQL), SQL subset

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API

JDBC
ODBC

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R

C
C++
Delphi
Java
Perl
PHP
Tcl

All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala

Server-side scripts

Stored procedures

Yes, possible languages: KQL, Python, R

Triggers

yes

see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

Sharding

by using Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

none

Multi-source replication

by using Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

by using Apache Kafka and Apache Zookeeper

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

substituted by the relationship feature

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Azure Active Directory Authentication

yes

at REST API level; other APIs in progress

More information provided by the system vendor

Specific characteristics

Azure Data Explorer is a fast and highly scalable data exploration service for log...
» more

Meet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
» more

Competitive advantages

Kusto Query Language (innovative query language, optimized for high performance data...
» more

Entity-Relationship Model TypeDB allows you to model your domain using the well-known...
» more

Typical application scenarios

IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more

Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more

Key customers

Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more

Market metrics

Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more

Licensing and pricing models

An Azure Data Explorer cluster is a pair of engine and data management clusters which...
» more

AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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

Recent citations in the news

Uptake Fusion to Support Microsoft Azure Data Explorer
1 March 2022, PR Newswire

Microsoft Simplifies IT Monitoring with New Azure Managed Grafana Service
19 April 2022, Petri.com

Full-Stack Observability with Grafana and Azure Monitor
10 May 2022, InfoQ.com

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

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

provided by Google News

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