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."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."
"Dremio allows querying the files I have on my block storage or object storage."
"Dremio gives you the ability to create services which do not require additional resources and sterilization."
"We primarily use Dremio to create a data framework and a data queue."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"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."
"The dashboards of Microsoft BI are easy to use."
"The use of graphics to show and view the data indicators is the most valuable feature. It is also very stable."
"The best feature for me is Power Query. I know that probably sounds strange, but you can't do too much with visuals and reports if the backend stuff is horribly dirty and just bad. But for me, that is absolutely fantastic. I can load the data and do the transformation and be able to load it in a useful way. There are tons of connections, which is absolutely fantastic as well. It's been fairly easy, and it's intuitive."
"Easy to use. End-users can make changes to the graphics."
"The product is user-friendly."
"The initial setup is relatively simple."
"When we are introducing Microsoft BI to our clients, if they're familiar with Excel, the transition phase will be much easier for them. They can easily switch from Microsoft Excel to Microsoft BI. The core foundation or the base technology is the same in both tools. There are a few limitations in Microsoft Excel, and this is where Microsoft BI comes in."
"The solution is stable."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"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."
"It shows errors sometimes."
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"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."
"Better mapping capabilities and easier administration access would be beneficial, especially for understanding who has viewed reports."
"Microsoft Power BI can be confusing, because it has two languages that you need to learn if you want to use it, and this makes it more difficult for nontechnical users."
"The maps in Power BI could be improved. You deal with many maps over the years, like maps of America and Saudi Arabia. The maps aren't detailed enough, and there aren't enough visualization tools. Whenever I want to use a map, I struggle with choosing the right visualization."
"There are some limitations in Power BI; you have to work in the Power BI base. However, if you want something not out-of-the-box and you want something custom, you have to do a lot of work."
"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."
"Its price could be better. Its licensing cost is very high."
"Power BI could have better metadata management. It's easy to use for a single person. However, it lacks an enterprise-grade metadata management system, which can be a problem if you're doing an enterprise deployment with multiple users."
"The accounting data needs improvement."
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, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
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