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."Amazon Redshift is very fast. It has really good response times. It's very user-friendly."
"The feature that we find most useful is the ability to do analytics on the fly."
"Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features."
"The product offers good support for the data lake."
"The solution has very competitive pricing."
"The initial setup of this solution is straightforward."
"You can copy JSON to the column and have it analyzed using simple functions."
"For the on-premises version of Amazon Redshift, we need to start from scratch. However, with the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features."
"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."
"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."
"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."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"This solution lacks integration with non-AWS sources."
"The refreshment rate of data reaching Redshift from other sources should be faster."
"Amazon Redshift does not have the capability to dynamically increase the VM file."
"Planting is the primary key enforcement that should be improved."
"Should be made available across zones, like other Multi-AZ solutions."
"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure."
"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."
"It shows errors sometimes."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"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."
"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."
"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."
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.
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