We performed a comparison between Board and Databricks based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, SAP and others in BI (Business Intelligence) Tools."It allows people to quickly create dashboards with reports."
"Instead of taking two people a week each month to perform our internal KPI reporting, the same two people can have it done in a day."
"My favourite feature of BOARD is the ability to write back to the OLAP DB, as well as the Rdb, and secure user data allowing databases to be flushed and rebuilt daily."
"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."
"The benefits are getting the data in one spot, the ability to report dynamically, and version control."
"We have better reporting and have been able to better track performance."
"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."
"The ability to do write back and visualization, with minimal IT development orientation."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"It can send out large data amounts."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Its lightweight and fast processing are valuable."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"We are looking for ways to distinguish zeros versus nulls in BOARD."
"It would be nice to see truly transferable processes from model to model, as well as a method of building repetitive processes."
"The product can be improved by making it possible to know where cubes are used."
"If we could upload other data, e.g., pivot tables which can be done in BOARD already, that we have pre-existing and have that data distribute to more complex spreadsheets, I would like that going forward."
"One thing that I personally would like to see is additional visualization tools for visuals."
"I'd like to see a more passive report user for enterprise report writers that aren't particularly technical."
"We have had some challenges with newer version of the rollout in terms of stability."
"We can't delete entities and cubes in Boards because it interrupts our whole data model."
"The product should provide more advanced features in future releases."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"We'd like a more visual dashboard for analysis It needs better UI."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
Board is ranked 27th in BI (Business Intelligence) Tools with 35 reviews while Databricks is ranked 1st in Data Science Platforms with 77 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, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics.
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