Dataiku vs. Pyramid Analytics

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.

Incentivized

Pyramid Analytics is a great tool to see the path of how something is progressing to make or see how aspects affect your process. You can find out how to improve your industry and compare departments on the fly. Pyramid Analytics is easy to add or subtract data in a report. I have not found a scenario where Pyramid Analytics is not a good tool to look at your process

Incentivized

• The intuitiveness of this tool is very good.
• Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
• The way you can control things, the set of APIs gives a lot of flexibility to a developer.

Incentivized

• Easy of use to add data metrics and demission
• Easy to publish and distribute
• Advanced graphics
• Easy to administer

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• End product deployment.

Incentivized

As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

Incentivized

Pyramid Analytics brings a tool that is graphically pleasing and easy to use to generate publications so you can understand your data. You can see your data in a new way in just a few clicks. This is very helpful in gaining the advantage of your processes and leading in your industry. Getting data quickly and being able to see how your business is being affected over time can get you an advantage and streamline your workflow.

Incentivized

The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.

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Pyramid Analytics looks to improve what the tool offers. They continue to add features and help with webinars. Updates to the product are easy to install. There are tools to help when looking for ways to improve your ability to of using the product.

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Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.

Incentivized

• Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
• Platform also ease tracking of data processing workflow, unlike Excel.
• Build-in data visualizations covers many use cases with minimal customization; time saver.

Incentivized

• I like the product ease of use

Incentivized