We performed a comparison between Kyvos and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools."The most valuable features of Kyvos are reconciliation and its ability to query big data."
"The solution has a lot of customization when comparing to Microsoft BI."
"It's intuitive and highly mature"
"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"Tableau's most valuable features are user-friendliness and have a connection between multiple source systems. You can publish a report by using Tableau Public and there you can make your data online, not only batches of data, you can use it as an online analytical tool."
"The solution helps users create dashboards and analyze data without relying on IT or product teams."
"The product has the best features for analytical views and filters."
"The maps and colors and interface are all fantastic."
"Since I couldn't find any tutorials or a handbook, I had some initial difficulty understanding the UI and the whole interface of Kyvos."
"The pricing is high. I'm using a student license, however, I know that even this license is very expensive. I've tried to have this product in our organization, however, it's quite expensive. We don't have the internal budget."
"More integration with Python or something related to machine learning would be a good improvement."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"Tableau is difficult to scale because of the cost, which makes it difficult to scale."
"In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI."
"It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager."
"Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx."
"The charts need to be improved. The drawings and the visualization need to be more accurate."
Kyvos is ranked 28th in BI (Business Intelligence) Tools with 1 review while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Kyvos is rated 7.0, while Tableau is rated 8.4. The top reviewer of Kyvos writes "A stable solution that can be used for data discovery, but it should include more tutorials for new users". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Kyvos is most compared with AtScale Adaptive Analytics (A3), whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.
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