DBMS > EXASOL vs. JaguarDB vs. Microsoft Azure Data Explorer vs. Snowflake

System Properties Comparison EXASOL vs. JaguarDB vs. Microsoft Azure Data Explorer vs. Snowflake

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Editorial information provided by DB-Engines

Name

Description

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

Performant, highly scalable DBMS for AI and IoT applications

Fully managed big data interactive analytics platform

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Relational DBMS

Key-value store

Relational DBMS

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

Score	2.83
Rank	#87	Overall
	#44	Relational DBMS

Score	0.00
Rank	#338	Overall
	#60	Key-value stores

Score	2.12
Rank	#107	Overall
	#52	Relational DBMS

Score	2.18
Rank	#106	Overall
	#51	Relational DBMS

Website

www.exasol.com/en/products

www.datajaguar.com

azure.microsoft.com/services/data-explorer

www.snowflake.com

Technical documentation

www.exasol.com/en/community/resources

www.datajaguar.com/support.php

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

docs.snowflake.net/manuals/index.html

Developer

Exasol

DataJaguar, Inc.

Microsoft

Snowflake Computing Inc.

Initial release

2000

2015

2019

2014

Current release

2.9.4 September 2018

License

Commercial or Open Source

commercial

Open Source info

GPL V3.0

commercial

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C++

the server part. Clients available in other languages

Server operating systems

Linux

hosted

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

Typing

predefined data types such as float or date

yes

XML support info

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

yes

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented info

but no views, foreign keys, triggers

Kusto Query Language (KQL), SQL subset

yes

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

JDBC
ODBC

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

CLI Client
JDBC
ODBC

Supported programming languages

Java
Lua
Python
R

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

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

JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

user defined functions

Yes. Languages: KQL, Python, R

user defined functions

Triggers

yes

Table-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.

similar concept for controling cloud resources

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-master replication

yes

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

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

Access rights for users, groups and roles according to SQL-standard

rights management via user accounts

Azure Active Directory Authentication

Users with fine-grained authorization concept, user roles and pluggable authentication

More information provided by the system vendor

Specific characteristics

SQL support, group by, order by, join
» more

Competitive advantages

Extremely easy to scale-out (in seconds) 100,000 times faster
» more

Typical application scenarios

IoT data, time series data, AI data. Any type of numerical data.
» more

Key customers

Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more

Market metrics

Advertising awareness, installed base, brand image, market share
» more

Licensing and pricing models

Free-trial license, per-node license, and subscription license.
» more

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