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Microsoft

4.2 out of 5.0 (16 ratings)

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We have aggregated ratings data on Microsoft but all of our reviewers have opted out of sharing their qualitative review feedback. In certain cases we allow reviewers to withhold their qualitative review feedback from public view, in order to protect their confidentiality.
  • 5 out of 5.0, Reviewed

    Product(s): Microsoft SQL Server 2000/2005/2008/2012/2014

    Microsoft SQL Server BI Stack

    Overall Comment

    All worked very well. Minor and few things did not work very well but they were very managable.

    What one piece of advice would you give other prospective customers?

    start with version 2016. way more advanced and future ready

    What do you like most about the product or service?

    scalability, performance, enhancements

    What do you dislike most about the product?

    nothing since Satya Nadella became the CEO

    What one thing do you wish the vendor did differently?

    more practical guidelines on how to utilize the toolset

    If you could start over, what would your organization do differently?

    better understanding of the BI capabilities


  • 4 out of 5.0, Reviewed

    Product(s): Microsoft SQL Server 2000/2005/2008/2012/2014, Other...

    Analysis Services

    Overall Comment

    For Analysis Services the research support is relatively limited

    What one piece of advice would you give other prospective customers?

    Do your due diligence about what your needs are.

    What do you like most about the product or service?

    Integrated well with SQL Server

    What do you dislike most about the product?

    Not having sufficient use cases of reasonable complexity.

    What one thing do you wish the vendor did differently?

    Provide more use case studies in the form of experience or implementation papers

    If you could start over, what would your organization do differently?

    Do a POC for other comparable solutions.


  • 5 out of 5.0, Reviewed

    Product(s): Microsoft Azure Machine Learning

    Powerful, easy to use, integration with key open source data science tools

    Overall Comment

    Great web-based UI for ETL, modeling, and deployment to web service. Some challenges remain around versions of open source packages supported, but overall the platform is best in class.


  • 5 out of 5.0, Reviewed

    Product(s): Microsoft Azure Machine Learning

    Easy to use and to scale, with less than 60% of time and money

    Overall Comment

    We moved the 90% of all our internal machine learning systems to the Azure ML Studio in less than 3 weeks. Now all the process is in strreaming in Azure and we have the possibility to lunch multiply instance of test / learning with less than 60% of the previous time and resources. Using Python and Jupiter notebook integration!

    What do you like most about the product or service?

    More predefined well-known algorithm will be appreciated.

    What do you dislike most about the product?

    It's a little tricky found the options the first time.


  • 4 out of 5.0, Reviewed

    Product(s): Microsoft Azure Machine Learning

    Was easy nedd to mature some aspects

    Overall Comment

    Ease to implement the dificult piece was changing clien culture totake decisions based om information

    What do you like most about the product or service?

    Fast response

    What do you dislike most about the product?

    Sector knowledge

    What one thing do you wish the vendor did differently?

    Kown more about what we can do apply to oil and gas upstream

    If you could start over, what would your organization do differently?

    Better client commitment

    Service & support - overall comment

    Great help to solve bussiness issue


  • 5 out of 5.0, Reviewed

    Product(s): Microsoft Azure Machine Learning

    Wonderful, intuitive product

    Overall Comment

    NA

    What one piece of advice would you give other prospective customers?

    Take advantage of the Microsoft training

    What do you like most about the product or service?

    Intuitive, easy to use, pre-built models

    What do you dislike most about the product?

    NA

    What one thing do you wish the vendor did differently?

    NA

    If you could start over, what would your organization do differently?

    Leverage more resources to investigate the product

    Service & support - overall comment

    NA


  • 3 out of 5.0, Reviewed

    Product(s): Microsoft Azure Machine Learning, Microsoft SQL Server 2000/2005/2008/2012/2014

    Neutral at this time

    Overall Comment

    Still reviewing and testing product due to so many internal legacy systems we would need to ensure that any product utilized maintains no risk because of PII data.

    What one piece of advice would you give other prospective customers?

    Do some internal deep digging to ensure we have business buyout and ensure all systems have been accounted for in this change.

    What do you like most about the product or service?

    It integrates with our current structure a lot better than other options

    What do you dislike most about the product?

    More available features/flexibilities with the tool would be helpful

    What one thing do you wish the vendor did differently?

    I wish the vendor had provided more deeper answers to our current problems

    If you could start over, what would your organization do differently?

    Do some internal deep digging to ensure we have business buyout and ensure all systems have been accounted for in this change.

    Service & support - overall comment

    Good service & support


  • 4 out of 5.0, Reviewed

    Product(s): Microsoft Azure Machine Learning

    Learning ML was straightforward, fit in well with our investments in the Microsoft stack

    Overall Comment

    Azure ML very easy to pickup. We had a number of different profiles of people learn Azure ML (Business Analysts, Data Analysts), even summer interns. They were able to quickly understand the tool and use it to solve business problems.

    What do you like most about the product or service?

    Easy to use (makes analytics attainable)

    What one thing do you wish the vendor did differently?

    More webinars and online training. More third parties that have experience with Azure ML (it is too new a platform)

    Service & support - overall comment

    Mostly online support (ot at least that is what we purchased). Unclear if there are better options.


  • 4 out of 5.0, Reviewed

    Product(s): Microsoft SQL Server 2000/2005/2008/2012/2014

    Medium size data analytics

    Overall Comment

    There has been a good value that we have gained from installing Microsoft SQL Server for our analytics warehouse. It is a stable, mature product with good capabilities out of the box but one of its flaws is that it does not scale well for big data analytics.

    What do you like most about the product or service?

    Stability, features, easy to deploy.

    What do you dislike most about the product?

    Not scalable.


  • 4 out of 5.0, Reviewed

    Product(s): Microsoft Azure Machine Learning

    Great going as of now

    Overall Comment

    Great going as of now


Show More Reviews

Ratings Overview

1 2 3 4 5
Section
1

Evaluation & Contracting

Overall rating of product evaluation and contract negotiation

(14)
4.2

Ability to understand your organization's needs

(14)
4.0

Timely and complete response to product questions

(14)
3.9

Pricing and contract flexibility (pricing and terms)

(12)
4.0
1 2 3 4 5
Section
1

Integration & Deployment

Overall rating of integration and deployment

(15)
4.2

How long did your deployment take?

0 - 3 months (<3)

3 - 6 months (<6)

12 months or more

6 - 9 months (<9)

9 - 12 months (<12)

I don't know


Availability of quality 3rd-party resources (integrators, service providers, etc.)

(13)
3.5

Ease of integration using standard APIs and tools

(16)
4.2

Quality and availability of end-user training

(15)
4.1

Ease of deployment

(16)
4.3
1 2 3 4 5
Section
1

Service & Support

Overall rating of service and support

(14)
4.1

Did you purchase a support package from the vendor?

Yes

No


Timeliness of vendor's response

(12)
4.2

Quality of technical support

(14)
3.9

Quality of peer user community

(15)
3.8
1 2 3 4 5
Section
1

Product Capabilities

Overall rating of product capabilities

(16)
4.3

Data Access and Manipulation

(16)
4.5

Data Exploration and Visualization

(14)
4.1

Predictive Analytics

(13)
4.0

Forecasting

(12)
3.8

Optimization

(13)
3.9

Simulation

(11)
3.9

Delivery, Integration & Deployment

(14)
4.0

Platform and Project Management

(13)
4.2

Performance and Scalability

(13)
4.3

User Experience

(14)
4.1
1 2 3 4 5
Section
1

Additional Context

What was the nature of your involvement?

Analytics Team Leader

Executive Sponsor

Business Analysts

Data Steward

Rollout and Install

Analytics User


Why did you purchase an Advanced Analytics Platforms Solution?

Process or Operational Efficiency

Product Development/R&D

Product/Service Delivery

Customers

Strategic or Financial Planning

Supply Chain/Logistics

Risk/Compliance


What other vendors were considered?

IBM

Oracle

SAS

IBM 

SAP

SAS 

KNIME

Splunk

Dell

Dell 

Microsoft

R (open source)

Revolution Analytics

Tibco Software


What were the key factors that drove your decision?

Alignment with existing data BI investments

Alignment with existing data infrastructure investments

Alignment with existing enterprise application investments

Ability to maintain and manage large number of models

Product roadmap and future vision

Ongoing cost of supporting infrastructure and personnel

Vendor viability

Support for Open Source capabilities

Local vendor presence

Other...


In which region(s) did your deployment take place? Multiple responses allowed.

North America

APAC

Asia/Pacific

EMEA

Europe, Middle East and Africa

Latin America