Gartner Magic Quadrant for Analytics and BI Platforms 2020

Business Intelligence tools have been in market since years. What has now started differentiating them is:

  1. Support for Enterprise reporting needs – large datasets, on-prem and cloud, data governance, security, agile dev cycle
  2. Augmented analytics capabilities – Machine Learning capabilities and AI assisted insights generation and explanation

This Magic Quadrant will help data and analytics leaders complement their existing solutions or move to an entirely new vendor.

Directly from Gartner:

Augmented capabilities are becoming key differentiators for analytics and BI platforms, at a time when cloud ecosystems are also influencing selection decisions

Here’s what Gartner Analysts think in terms of numbers:

By 2022, augmented analytics technology will be ubiquitous, but only 10% of analysts will use its full potential.

By 2022, 40% of machine learning model development and scoring will be done in products that do not have machine learning as their primary goal.

By 2023, 90% the world’s top 500 companies will have converged analytics governance into broader data and analytics governance initiatives.

By 2025, 80% of consumer or industrial products containing electronics will incorporate on-device analytics.

By 2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques.


Here’s presenting the 2020 Magic Quadrant for Analytics and Business Intelligence Platforms.

Magic Quadrant for Analytics and Business Intelligence Platforms
Magic Quadrant for Analytics and Business Intelligence Platforms – 2020

Microsoft (Power BI), Tableau, Qlik and ThoughtSpot are leaders in this space. How did this look like last year?

Magic Quadrant for Analytics and Business Intelligence Platforms – 2019

How about 2015 vs 2020? Lot has changed since then. The Leaders space was crowded back then.

Magic Quadrant for BI tools – 2015

Here’s the direct link to the full report on Gartner’s site with each vendors strengths and cautions in detail along with 15 Critical Capabilities of an Analytics and BI Platform.


For 13 consecutive years, Gartner has recognized Microsoft as a Magic Quadrant Leader in analytics and business intelligence platforms. When they reference Microsoft, they are referencing to the Power BI platform.

Looking to adopt Power BI in your organization? Contact us for a free consultation on how Power BI can help you realize your modern BI vision.

Get in touch now!

Power BI Premium or Power BI Pro – the answer is here!

Power BI comes with multiple licensing model

  1. Power BI Pro
  2. Power BI Premium
  3. Power BI Embedded
  4. Power BI Free

In this post we will cover Power BI Pro and Power BI Premium licensing model.

Which licensing model to go with is determined by following three factors:

  1. Cost
  2. Number of users (creators, viewers, occasional viewers)
  3. Features required

The first two factors are the most critical in deciding the licensing model.

It’s a choice between multiple Pro licenses or multiple Premium licenses.

A Power BI Pro is a per user license currently costing around $10 per user per month, while Power BI Premium is a capacity license currently costing around $5000 per capacity node per month.

Yes, the cost difference is huge. But, wait, there are lots of things hidden in that $5000.

  1. Power BI Premium is a capacity license. It can support 450 users report viewing needs (see example below)
  2. Power BI Premium is for content consumption rather than content creation
  3. Large number of external readers (out of org users with no Power BI license)
  4. AI, Paginated reports, XMLA read/write and many other features

What does that mean?

If you want to create, author and publish reports, you definitely need Power BI Pro licenses. You cannot go away with that. Whether to go with Power BI Premium or not, it depends.

Say, if you have 500 users in your org and out of 500 users

  1. 50 users will be creating content
  2. 200 users will be frequently accessing the content
  3. 250 users will be occasionally accessing the content

Then, you require

  1. 50 Power BI Pro licenses
  2. 1 Premium capacity node

With the premium capacity node we can serve the “consumption” needs for 450 users.

How did we come up with that conclusion? A simple Power BI Premium calculator is available to help us decide number of licenses (link below).

But, say your org has 100 users with 50 creating content and 50 viewing, it’s recommended to go with 100 Pro licenses (total cost $1000 per month) than a premium capacity node unless you need additional features like AI, external readers etc.


Power BI Premium vs Power BI Pro – Which licensing model should I choose? The answer is here!


If you are still not sure of the licensing model or worst, if you are not sure if Power BI is fit for your organization’s BI needs then you may request a free consultation.

You may fill the form below or directly setup a call

Or, fill up this form and we will get back to you with time slots within 12-24 business hours.

Notes:

Power BI Premium Calculator: https://powerbi.microsoft.com/en-us/calculator/

Power BI premium also comes with additional feature sets including AI, Incremental refresh, Power BI Report Server, Paginated (SSRS types) reports, XMLA read/write and others – or better to say Enterprise features.

If you need a quick comparison between Power BI Pro and Power BI Premium feature sets, please check this table provided by Microsoft. (Click the image to view the entire table)

https://powerbi.microsoft.com/en-us/pricing/#powerbi-comparison-table

Power BI Features End to End

Ever imagined if you could get to see all the amazing Power BI Features in one shot? Power BI is not just one product. It’s a suite of products.

  • What data sources are supported in Power BI?
  • What content authoring capabilities it has?
  • What about content delivery and distribution capabilities?
  • What about data governance and administration?

Check this image to view end to end picture of Power BI!

Thanks to Coates Data Strategies for compiling this.