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."It is quite simple to use and there are no issues with creating the tables."
"It's scalable because it's on the cloud."
"It allows for the storage of huge amounts of data."
"Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers."
"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."
"The product is relatively easy to use because there is no indexing and no partitions."
"You can copy JSON to the column and have it analyzed using simple functions."
"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."
"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."
"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."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"Dremio allows querying the files I have on my block storage or object storage."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"The solution is unable to work fast."
"Pricing is one of the things that it could improve. It should be more competitive."
"It lacks a few features which can be very useful, such as stored procedures"
"It takes a lot of time to ingest and update the data."
"One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"The solution could improve in handling more data formats and more native support for RDF."
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"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 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."
"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."
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.
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