Compare Databricks vs. Microsoft BI

Databricks is ranked 5th in Data Science Platforms with 6 reviews while Microsoft BI is ranked 2nd in Business Intelligence (BI) Tools with 32 reviews. Databricks is rated 8.6, while Microsoft BI is rated 8.4. The top reviewer of Databricks writes "Good build-in optimization, easy to use with a good user interface". On the other hand, the top reviewer of Microsoft BI writes "Valuable dashboard and automated reporting features but should have better integration with RPA and Tableau platforms ". Databricks is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and Cloudera Data Science Workbench, whereas Microsoft BI is most compared with Oracle OBIEE, Tableau and TIBCO Spotfire.
Cancel
You must select at least 2 products to compare!
Databricks Logo
8,640 views|7,868 comparisons
Microsoft BI Logo
50,081 views|42,949 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
390,810 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
I work in the data science field and I found Databricks to be very useful.The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.Automation with Databricks is very easy when using the API.We are completely satisfied with the ease of connecting to different sources of data or pocket files in the searchThe built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.

Read more »

This solution has improved our ability in making decisions and explaining data.I like the downloadable visualizations a lot. I think that they give the user a very nice starting point in creating awesome dashboards, with the right way to tell their data story.If you are not very technical this tool could be very useful.The feature I find most valuable is the ability to publish Power Bi reports, using an embedded link, directly onto a website.There was a lot of manual work involved with Excel, whereas once we moved on to Microsoft Power BI, it was a cleaner dashboard and it was faster too.The uploading of information is very easy, as you just use an Excel sheet to start work right away and obtain the benefits of Power BI.Because this solution is very easy, and very visual, you can have results in minutes.It is a good platform for data analysis, organization, and all of the other interim performances that are necessary.

Read more »

Cons
It would be very helpful if Databricks could integrate with platforms in addition to Azure.The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.It should have more compatible and more advanced visualization and machine learning libraries.Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.The integration features could be more interesting, more involved.The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.

Read more »

We would like to have better SQL support for queries.Some kind of expression wizard, where the user can build a complex expression without any knowledge of DAX, can be a good addition to the product.Adding paginated reports to this tool could be of great help for users who want to move away from SSRS.I would like to see Machine Learning for Power Bi Pro users or an intermediate license to enable Machine Learning if you don't have access to a Premium account.I think because I'm moving more into RPA, I'd definitely like to see integration across the RPA, Power BI, or Tableau platforms, because that integration could then make automation and mundane reporting much faster.I would like to see the product offer more graphics to impact different audiences.I would like to see a feature that connects with a Machine Learning platform like a RapidMiner or Azure Machine Learning Studio. It would be great to have a Machine Learning application link to connect.It could have more of a hold on big data. Manipulating big data on this solution complicates things. This needs to be improved.

Read more »

Pricing and Cost Advice
I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.

Read more »

I very much recommend the free trial mode.It is reasonably priced.No comment on pricing.It is a cheap solution for our needs.No comment.It is free.It is part of our Office 365 license.The costs are small and the benefits are high.

Read more »

report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
390,810 professionals have used our research since 2012.
Ranking
5th
Views
8,640
Comparisons
7,868
Reviews
5
Average Words per Review
567
Avg. Rating
8.6
Views
50,081
Comparisons
42,949
Reviews
31
Average Words per Review
319
Avg. Rating
8.4
Top Comparisons
Compared 19% of the time.
Compared 13% of the time.
Compared 8% of the time.
Compared 6% of the time.
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics PlatformSSRS, SSAS, MSBI, MS BI, MS Reporting Services, Power BI, Microsoft BI Tools, Microsoft Big Data, Power BI Pro
Learn
Databricks
Microsoft
Overview

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

Microsoft BI is a business intelligence solution that turns data into insightful and useful business information that is relevant to all levels of the business.

Microsoft BI combines familiar Microsoft tools - Office, SharePoint, and SQL server, with extra features for end-users, such as Power View and Power Pivot. This powerful product gives businesses a competitive advantage by allowing end-users to better analyze their data, collaborate and better present their data.

Offer
Learn more about Databricks
Learn more about Microsoft BI
Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware Konica Minolta, Klout, Mahindra Satyam, The Weather Channel, Argus, Credit Suisse, NCR, and Sysmex.
Top Industries
VISITORS READING REVIEWS
Software R&D Company40%
Media Company9%
Comms Service Provider7%
Government7%
REVIEWERS
Energy/Utilities Company17%
Financial Services Firm14%
Manufacturing Company10%
Government7%
VISITORS READING REVIEWS
Software R&D Company24%
Comms Service Provider9%
Financial Services Firm9%
Media Company6%
Company Size
No Data Available
REVIEWERS
Small Business38%
Midsize Enterprise16%
Large Enterprise46%
VISITORS READING REVIEWS
Small Business33%
Midsize Enterprise8%
Large Enterprise59%
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: December 2019.
390,810 professionals have used our research since 2012.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.