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."In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes."
"It is quite simple to use and there are no issues with creating the tables."
"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."
"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"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 ability to reload data multiple times at different times."
"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."
"The initial setup of this solution is straightforward."
"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."
"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."
"We primarily use Dremio to create a data framework and a data queue."
"Planting is the primary key enforcement that should be improved."
"I would like to improve the pricing and the simplicity of using this solution."
"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"There are too many limitations with respect to concurrency."
"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."
"Improvement could be made in the area of streaming data."
"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."
"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 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."
"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."
"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, Snowflake, AWS Lake Formation, 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.
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