We performed a comparison between Dremio and KNIME based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms 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."
"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."
"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."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"From a user-friendliness perspective, it's a great tool."
"There are a lot of connectors available in KNIME."
"The most useful features are the readily available extensions that speed up the work."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"Stability is excellent. I would give it a nine out of ten."
"I would rate the stability of KNIME a ten out of ten."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"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."
"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."
"It shows errors sometimes."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"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."
"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."
"Compared to the other data tools on the market, the user interface can be improved."
"KNIME is not scalable."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"The license is quite expensive for us."
"KNIME could improve when it comes to large data markets."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"The ability to handle large amounts of data and performance in processing need to be improved."
Dremio is ranked 10th in Data Science Platforms with 6 reviews while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Dremio is rated 8.6, while KNIME is rated 8.2. 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 KNIME writes "A low-code platform that reduces data mining time by linking script". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Weka and Dataiku Data Science Studio. See our Dremio vs. KNIME report.
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