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."
"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."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"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."
"There is a lot of help and documentation on the Internet, so no special training is needed to use the source code."
"Key features are its dashboard functionality and ease of integration with various data sources."
"My understanding is that the initial setup is pretty easy."
"It is a powerful tool that helps our data analysis processes."
"In my experience the scalability is good. You are able to increase users and add more data."
"There is a lot of variety in Power BI. In particular, the visuals are quite rich and the feature set has been growing rapidly in the last two years. Possibly the best part for me is that there are a lot of ways to connect with data sources."
"We have found the product to be scalable."
"The user interface is easy to work with."
"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."
"It shows errors sometimes."
"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 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."
"Defining a relationship was very confusing. There were circular directions for which I had to do a lot of adjustments in the data. They can do something to make it easier."
"I am taking a course to be able to use the solution better. Some aspects of the solution are not straightforward."
"I'm not overly technical, and so I can't really speak to any shortcomings from a technical standpoint."
"There are some other visuals that are available in the Microsoft marketplace, however, you need to use them via trial and error. There needs to be a write-up about how to use them with a quick guide describing the visual."
"If you need data in real-time, it's not an ideal solution."
"Compared to other applications, like Tableau, Microsoft BI doesn't have as many functions that allow you to do more in-depth analysis and represent the findings."
"Microsoft BI comes under pressure when there is a lot of data to be crunched. It gets slower and slower, and the functionality becomes a bit of a problem. The performance goes down with data being fed into the system. The infrastructure requirement also increases if you have to increase the performance. This is the area that can be improved in my opinion. Initially, the product is good, but over the years, when data gets accumulated, it becomes a problem unless the old data is kind of archived and is no longer shown on the visualization. It has a feature by using which a user can query for a report through simple questions to a bot. So, if I want to look for the customer share of revenue by geography, I just simply state that in the chatbot. If I wanted it in a pie chart, then you say, "Please show it to me in a pie chart." It comes out well for basic charts. This feature should be improvised more so that people can very quickly get customized reports on the go."
"It is not yet ready for enterprises. For a big enterprise data model, it is not so stable, and it also doesn't scale so well."
Dremio is ranked 9th 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 BigQuery, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
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