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 allows querying the files I have on my block storage or object storage."
"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."
"We primarily use Dremio to create a data framework and a data queue."
"Dremio gives you the ability to create services which do not require additional resources and sterilization."
"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."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"It gives us, the ability to do a lot of analysis quickly, similar to ad hoc analysis."
"My primary use is for view of the dashboard."
"It is a powerful tool that helps our data analysis processes."
"Its connection to every database: Whatever and wherever it is."
"They find Power BI's data pull mechanism to be sufficient and cost-effective, especially considering the stability it provides. In comparison with other solutions, Power BI stands out as a fantastic choice. Therefore, I would definitely recommend sticking with the Pro license."
"I also find connecting to different data sources is quite simple. Other solutions we were using before were complicated."
"Microsoft BI allows us to connect to any database or any dataset."
"PowerBi is used to import our production data and generate dashboards, then integrates other Excel sheets to provide managers dashboards. This helps them get insights to make better OEE improvement decisions, mainly where to focus resources. We became able to see indicators from any time frame (day, week, month, or year), then could make better decisions."
"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."
"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."
"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."
"If you need data in real-time, it's not an ideal solution."
"It needs more graphics and overlays."
"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."
"I have a little problem with Synapse Analytics because it's very new. It's a product that has many capabilities, but it is not very well developed. I have to see the list of permissions from one object. I can't do this in Synapse. I have to search on the web for a solution because I don't have the tool for it."
"The solution could benefit by allowing deeper data analytics."
"Microsoft Power BI was born native on the cloud, however, it's quite difficult when it has to connect to on-premise data sources."
"I cannot comment on the stability as we haven't yet used it for a big project."
"Drill-down in dashboards needs to improved. The capability only works in Power BI Desktop today. We need to have an alternative approach today."
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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