Software Alternatives, Accelerators & Startups

MCXess Calling with Teams VS Dataiku

Compare MCXess Calling with Teams VS Dataiku and see what are their differences

MCXess Calling with Teams logo MCXess Calling with Teams

Calling with Teams. Microsoft Teams users can now use the clients as a phone. Call with your direct or the general office number.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • MCXess Calling with Teams Landing page
    Landing page //
    2022-07-15

External and Internal communication with a single tool.

  • Talk with your team members and take phone calls with one tool
  • Login anywhere on any device and have your office phone available
  • Add phone numbers with a couple of clicks
  • One system where your overal status is managed
  • One single system to maintain instead of a myriade
  • Continuity assurance with additional failover mechanisms

In case you have team member who prefer to use another communication tool, that is easy to support with callign from MCXess. All the numbers are natively hybrid and calls can be routed to, from and between MS Teams and any other tool they would like to use.

Simplicity an flexibility is key.

  • Dataiku Landing page
    Landing page //
    2023-08-17

MCXess Calling with Teams

Website
mcxess.com
$ Details
€3.0 / Monthly (For a phone number)
Platforms
Microsoft Teams Genesys Avaya IP-PBX Vonage Vocalcom Zendesk Any Platform With SIP Or PSTN Connectivity
Release Date
2002 February

Dataiku

$ Details
-
Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

MCXess Calling with Teams videos

No MCXess Calling with Teams videos yet. You could help us improve this page by suggesting one.

+ Add video

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to MCXess Calling with Teams and Dataiku)
Cloud Business Telephony
100 100%
0% 0
Data Science And Machine Learning
Hybrid Working
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using MCXess Calling with Teams and Dataiku. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare MCXess Calling with Teams and Dataiku

MCXess Calling with Teams Reviews

We have no reviews of MCXess Calling with Teams yet.
Be the first one to post

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

What are some alternatives?

When comparing MCXess Calling with Teams and Dataiku, you can also consider the following products

AVOXI - AVOXI to deliver amazing call quality & an exceptional customer service experience.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Aircall - Aircall is a call center software of a new generation designed for fast growing companies. Setup instantly and integrates to your CRMs

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

3CX - Hosted PBX with CRM integration and mobile apps

NumPy - NumPy is the fundamental package for scientific computing with Python