We performed a comparison between Anaconda and Board based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."I can use Anaconda for non-heavy tasks."
"The solution is stable."
"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"It is easy to make quick updates. As the business changes, we can maintain the tool without programming help from IT."
"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."
"The drill down is good for people who have that high level view, because they can do some analysis based on it."
"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 benefits are getting the data in one spot, the ability to report dynamically, and version control."
"By using Board we can do a lot of free analysis. We can change the layout of a table and even the end-user can change the layout of a table. And in Board 11.2 you can save the layout. That's very useful for the customer, it's a very good function."
"The dynamic selections on the screen and details by function are also valuable for inside the data view."
"It has definitely saved us time, especially in our budget and planning processes."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"When you install Anaconda for the first time, it's really difficult to update it."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda can't handle heavy workloads."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"The initial setup was very complex for us."
"The engine of the Board should be made powerful like the engine of IBM planning which is more powerful in terms of performance. The consolidated finance area also needs improvement."
"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."
"The one thing that I think we would like to see in terms of improvement of the application is the ability to print. It's fantastic to have all of these graphic visualization of data, but we're not able to very easily just print... From my perspective, if you can have a little "print" button and then you just click it and it would produce what's on the screen, that would be very helpful."
"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 at ways to improve how we deal with security in BOARD and other similar things. "
"One of the things that I would like to see is the ability to have a rule directly referenced on the cubes."
"We can't delete entities and cubes in Boards because it interrupts our whole data model."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Board is ranked 23rd in BI (Business Intelligence) Tools with 35 reviews. Anaconda is rated 7.8, while Board is rated 8.6. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Board writes "A stable solution with good user-experience, easy deployment but needs some improvement with engine ". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Board is most compared with Anaplan, SAP Analytics Cloud, IBM Planning Analytics, Oracle Hyperion and Microsoft Power BI.
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.
