We performed a comparison between Amazon Redshift and Dremio based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."
"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."
"The solution has very competitive pricing."
"It's scalable because it's on the cloud."
"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."
"Easy to build out our snowflake design and load data."
"You can copy JSON to the column and have it analyzed using simple functions."
"We primarily use Dremio to create a data framework and a data queue."
"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."
"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."
"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."
"It would be good to see Redshift as a serverless offering."
"There are too many limitations with respect to concurrency."
"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."
"The solution is unable to work fast."
"Improvement could be made in the area of streaming data."
"Pricing is one of the things that it could improve. It should be more competitive."
"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."
"This solution lacks integration with non-AWS sources."
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"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."
"It shows errors sometimes."
"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."
"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."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while Dremio is ranked 11th in Cloud Data Warehouse with 6 reviews. Amazon Redshift is rated 7.8, while Dremio is rated 8.6. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and Oracle Autonomous Data Warehouse, whereas Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Microsoft Azure Synapse Analytics and Microsoft Power BI. See our Amazon Redshift vs. Dremio report.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
