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."If the analyst knows SQL, which is comfortable and easy to use to go between all of these tool stacks, I think it's reliable. It's a secure and reliable data warehouse."
"I found the Amazon Redshift computing services easy. I found the computing instances the most incredible in the solution."
"Redshift allows you to transform different data formats and consolidate them into one Redshift cluster. This means you can transform various siloed data sources like Excel files and CSV files into Redshift."
"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."
"The most valuable feature is that the solution is fully embedded in the AWS stack."
"The valuable features are performance, data compression, and scalability."
"It allows for the storage of huge amounts of data."
"Though Amazon Redshift is good, it depends on what kind of business you're trying to do, what type of analytics you need, and how much data you have."
"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."
"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."
"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 gives you the ability to create services which do not require additional resources and sterilization."
"Planting is the primary key enforcement that should be improved."
"The product could be improved by making it more flexible."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"It lacks a few features which can be very useful, such as stored procedures"
"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."
"Running parallel queries results in poor performance and this needs to be improved."
"The product must provide new indexes that support special data structures or data types like TEXT."
"The solution is unable to work fast."
"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."
"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."
"It shows errors sometimes."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 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 Teradata, Vertica, Snowflake, Microsoft Azure Synapse Analytics 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.
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