We performed a comparison between Amazon QuickSight and Dremio based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, SAP and others in BI (Business Intelligence) Tools."The ease with which it integrates with different data sources is most valuable. Especially when everything is on AWS, it is easy to connect to the data source and organize different dashboards."
"The solution is simple to implement."
"One of the most valuable features of Amazon QuickSight has been the speed at which visualizations can be created."
"The graph charts, pie charts, and box plots are valuable."
"The most valuable feature of this solution is the user interface."
"It is notably fast in handling large data set refreshes, making it efficient for data analysis."
"Compared to other reporting tools, it is very effective but does require an understanding of certain concepts in QuickSight. This understanding is crucial for creating dimensions, changing metrics, and visualizing reports."
"A valuable feature of Amazon QuickSight is that it's a cloud-native service provided by AWS. As all platforms within my company run on AWS, that's the leverage of Amazon QuickSight. Amazon QuickSight is also easy to use, and I find the native connectors from AWS valuable as well."
"Dremio gives you the ability to create services which do not require additional resources and sterilization."
"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 allows querying the files I have on my block storage or object storage."
"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."
"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."
"An area for improvement in Amazon QuickSight is storage. Data cleanup also needs improvement because I'm experiencing errors when cleaning the data. Amazon QuickSight needs video tutorials showing its different functions and purposes."
"Lacked connectivity with other third-party tools and data sources."
"I would like to see a feature that allows us to save a draft version before making it public and publishing it."
"I just want a few more features to be added."
"You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire."
"The product is quite expensive because the price is too close to QlikView's prices but it does not ring as well as QlikView."
"Right now, you can't use Amazon QuickSight on other cloud providers, so I'd like it to have availability on other cloud providers. This is an area for improvement in the product. What I'd like to see in Amazon QuickSight in the future is a distributed centralized system where I can manage all reports in one place, and for Amazon QuickSight to become reporting as a service."
"There is room for improvement in terms of the number of visualizations and dashboards that are available."
"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."
"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."
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"It shows errors sometimes."
Amazon QuickSight is ranked 4th in BI (Business Intelligence) Tools with 24 reviews while Dremio is ranked 9th in Data Science Platforms with 6 reviews. Amazon QuickSight is rated 6.8, while Dremio is rated 8.6. The top reviewer of Amazon QuickSight writes "Useful for developing dashboards for various lines of business". On the other hand, the top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". Amazon QuickSight is most compared with Microsoft Power BI, Tableau, Looker, Google Data Studio and Qlik Sense, whereas Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics.
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