We performed a comparison between Dremio and Microsoft Parallel Data Warehouse 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."We primarily use Dremio to create a data framework and a data queue."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"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."
"Dremio allows querying the files I have on my block storage or object storage."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Data collection and reporting are valuable features of the solution."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"We have complete control over our data."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The solution has been reliable."
"It performs very well overall."
"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."
"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."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"It shows errors sometimes."
"The reporting for certain types of data needs to be improved."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"We find the cost of the solution to be a little high."
"The product must provide more frequent updates."
"I think that the error messages need to be made more specific."
"The product does not have all of the features that the native products have."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
Dremio is ranked 11th in Cloud Data Warehouse with 6 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. Dremio is rated 8.6, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum. See our Dremio vs. Microsoft Parallel Data Warehouse 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.
