We performed a comparison between Dremio and Microsoft Power BI based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."We primarily use Dremio to create a data framework and a data queue."
"The most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory."
"Dremio gives you the ability to create services which do not require additional resources and sterilization."
"Dremio allows querying the files I have on my block storage or object storage."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it."
"I like having the ability to connect Excel files as data inputs."
"The solution is easy to use and flexible."
"The most useful features are the ability to connect different databases to Microsoft BI and explore them. Once the database information has been extracted, you have the ability to construct indicators and dashboards from the information."
"The most valuable features are the flexibility, how many ways you can interrogate the data, and the the graphical visualization."
"The most valuable feature is definitely the visual aspect and the DAX capabilities to virtually do anything."
"The product is stable."
"This product has a lot of features and most of them are user-friendly."
"Microsoft BI's most valuable feature is flexibility."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"It shows errors sometimes."
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement."
"They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people."
"Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake."
"The look is simple, and could be a little more professional."
"In the future, Microsoft BI can be better by increasing user-friendliness"
"There are certain features that are only available in the cloud version. It would be beneficial if they could be brought down to the on-premise version without the necessity of using the enterprise SQL database, as that can be very costly. We need more cost-effective features that are available in the cloud to be accessible on-premise."
"One thing I would like to have is the scripting language, as they already have within Excel. It's already within a Microsoft business product, because Excel is the number one business product out there. So it would be nice to have the scripting capability in order to automate certain processes."
"I would like to see a change in the premium capacity."
"The solution's documentation needs improvement."
"The solution is somewhat costly in comparison with MSBI tools."
"A few features available in Tableau are not available in Power BI. For example. Tableau has the ability to make up the physical layer and all other stuff at runtime. In Power BI, we have to develop a proper physical layer to connect it. The limitation that we normally face is related to the direct query mode. When it comes to the direct query mode, most of the functionality is not working, which is an issue for us. We have to use the direct query mode frequently because the client needs real-time data. They should work on this limitation. There are a lot of other technical things that need to be improved. I am also following the Power BI platform and Microsoft Support Center platform on the web where users have put their requirements. Microsoft is also working on improving this solution. In every update, they add new features to this solution."
Dremio is ranked 10th in Data Science Platforms with 6 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. Dremio is rated 8.6, while Microsoft Power BI is rated 8.0. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". On the other hand, the top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Dataiku Data Science Studio, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
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