We performed a comparison between Dremio and SAP Analytics Cloud based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"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 gives you the ability to create services which do not require additional resources and sterilization."
"We primarily use Dremio to create a data framework and a data queue."
"Dremio allows querying the files I have on my block storage or object storage."
"Provides rich features for developing automated reports and dashboards."
"I would recommend this solution for companies that are SAP dependent with users working in this environment."
"Considering the reporting part, I rate the tool a nine out of ten."
"The most valuable features are the visualization and user-friendliness."
"The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there."
"Planning and integration are the most valuable features. It is useful for planning, and it is useful for integrating with on-prem or cloud SAP solutions."
"The visualizations have been the most valuable feature."
"I like the product's capabilities. The clarity and scenarios are the main features that allow us to forecast using machine learning algorithms and make decisions."
"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."
"It shows errors sometimes."
"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 security, authorization, and live connection to the back-office system features can be improved. A business analyst colleague who creates complex financial management reports has mentioned that he wants to see more fact and visualization features. It would be helpful to have more visualization features to be able to prepare more stories or reports for executives. For example, Tableau has some visualization features that are not present in this solution."
"I would like to see reporting to the Analytics cloud directly."
"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."
"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."
"Connection and integration with other applications have a lot of restrictions at the moment."
"One potential improvement is how we can transpose data. With SAP, if you have data from one system with a declared data type and a different system with another data type, the transfer is tricky."
"What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement."
"When it comes to planning there is a concern about the ability to match the exact requirements of the customer with what the product offers."
Dremio is ranked 10th in Data Science Platforms with 6 reviews while SAP Analytics Cloud is ranked 4th in BI (Business Intelligence) Tools with 57 reviews. Dremio is rated 8.6, while SAP Analytics Cloud is rated 8.0. The top reviewer of Dremio writes "Quick database capabilities but sometimes shows minor errors". On the other hand, the top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan.
We monitor all Data Science Platforms 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.
