We performed a comparison between Board and Databricks based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools."I think it's flexible. I chose this solution because, even though it wasn't out-of-the-box, you can customize it, and the long-term growth potential of the software is where I see the value."
"Primary valuable features are its flexibility and versatility and, obviously, functionality goes along with that. Plus, it does that at a small footprint in the file servers, and does it very efficiently."
"The most valuable features are the reporting and the charts. The reporting functionality is handy for aggregation, when it comes to planning. That ability is fascinating and our users are very happy with it. The charts and the reporting allow our users to see all the data and to see how things are going this year or in the COVID situation. They're seeing everything. Instead of having to check data line by line, they're seeing it in a graph and they're seeing it in charts."
"The dynamic selections on the screen and details by function are also valuable for inside the data view."
"It has a good set of visual elements that you can use and can explain quite well."
"What is very valuable is the ability to customize. We didn't see a solution out there that really matched exactly what our functional requirements would be. So we were able to work with New Brain, our integrator, and we were able to build from the ground up what we wanted, and I think that's pretty unique to BOARD."
"It is very easy to use. It has got what they call a toolkit, which is a no-code development environment. You can develop a whole solution with it because it is a complete platform. There is a lot of online material that can be used as a reference. You can help yourself while developing a solution. There are some prebuilt applications in the platform environment. You can very easily customize and integrate these applications. It also has flexible scaling of machine resources, which is really great."
"The flexibility and the user-experience are the most valuable features of the solution."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"It's very simple to use Databricks Apache Spark."
"The integration with Python and the notebooks really helps."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"We have had some challenges with newer version of the rollout in terms of stability."
"I would like to see a better Web client, where the controls work the same way as in the Windows client. I do think that the focus is now on the Web, so it should be improved upon."
"We are looking for ways to distinguish zeros versus nulls in BOARD."
"It's very powerful, but there is also a big learning curve. It should be a little more intuitive."
"It can have more functionality for narrative reporting. They should also improve their training courses, which are currently very lightweight. When you get into more complex things, it is quite difficult to figure out what you're supposed to do, and you have to look at a lot of videos before you actually understand, which is a bit frustrating. Their training can be more comprehensive."
"One of the things that I would like to see is the ability to have a rule directly referenced on the cubes."
"It would be huge in the future if BOARD offered a lot more graphs and presentations, and it was a lot easier to use."
"My analysts have used the technical support. Sometimes they have felt like they did not receive the answer that they needed, or you have to go and upgrade in order to address a problem. "
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"The integration of data could be a bit better."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The integration features could be more interesting, more involved."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"I believe that this product could be improved by becoming more user-friendly."
Board is ranked 23rd in BI (Business Intelligence) Tools with 35 reviews while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Board is rated 8.6, while Databricks is rated 8.2. The top reviewer of Board writes "A stable solution with good user-experience, easy deployment but needs some improvement with engine ". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Board is most compared with Anaplan, SAP Analytics Cloud, IBM Planning Analytics, Oracle Hyperion and Microsoft Power BI, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio.
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