We performed a comparison between Dremio and Information Builders WebFOCUS based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Dremio allows querying the files I have on my block storage or object storage."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"Dremio gives you the ability to create services which do not require additional resources and sterilization."
"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."
"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."
"I would rate the scalability a ten out of ten. It's highly scalable and can handle significant data volumes."
"It stands out for its ability to work across different platforms, support mainframe data, offer cloud integration, automate report scheduling, and provide a robust scripting language."
"The solution can read and write 500 different types of outputs."
"The most valuable feature is building ad hoc reports."
"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."
"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."
"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 challenge lies not in what the tool can do but in how you use it and understand the data."
"The solution can be improved by adding more automated options for reporting."
"If there were to be any improvements right now, their documentation needs to get in sync with their product."
"When it comes to customer support, we don't always reach the right person. Sometimes, we get junior-level reps who aren't as knowledgeable as we are."
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Dremio is ranked 10th in Data Science Platforms with 6 reviews while Information Builders WebFOCUS is ranked 6th in Predictive Analytics with 18 reviews. Dremio is rated 8.6, while Information Builders WebFOCUS is rated 8.8. 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 Information Builders WebFOCUS writes "A flexible mainframe product with unique file features and a rock solid scheduling feature". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Information Builders WebFOCUS is most compared with Microsoft Power BI, Tableau, SAP BusinessObjects Business Intelligence Platform, Alteryx and TIBCO Spotfire.
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