Einblick Reviews

The best part about Einblick is the collaboration of Data Engineers and Data Scientists is very easy. The UI, Machine learning models and insights are really great for the supervisors and top management. It is based on the freemium model, so one can choose the features that best suit for them,

The tool is quite sophisticated which means data structure deep understanding is required. Also, many advanced features are still not available. Even for basic features wherein It's difficult to call specific programs written in Python, one has to download an Older Python version to integrate.

We are able to use their unique collaborative Canvas. The data cleaning, data preparation, and transformation are super easy on this platform. The SQL Database operators make it very easy to connect with SQL tables and make addition of new tables as well.

Einblick offers content and a wide range of functionalities. One unique feature is its handling of panda dataframes. It helps you learn and apply data science concepts.

Einblick lacks features and functionalities. Its limited scope for data exploration hampers in depth analysis. Restricts the extraction of insights. The lack of support and documentation.

Einblick issue of prediction creation and deployment. This greatly benefits my business as it enables us to create predictions quickly, save time and enhance productivity.

It is very good at created automated workflows. It also use it to help me filter data in marketing list.

It still need to be improved. You must have data structure knowledge to make the most out of Einblick.

It help us analyze complex data.

1) The sharing and collaboration features are totally awesome. Being able to basically meet directly in the platform is really cool and I appreciate the that there is no cap on sharing results.

2) The point-and-click nature and speed. This is truly data analysis at the speed of thought. The fact that you get a sampling of your data even as it's loading is such a nice time-saving touch.

Mostly trivial, but the python version of the operator has to be downloaded rather than viewed natively in the platform.

ability to import Python notebooks

Collaborative canvas makes working with team convenient

Software is still new so still lots of features in the pipeline but there isn't really another option out there tackling collaborative handling of panda dataframes so not much to complain about.

Sharing meaningful business metric findings across the organization more quickly

A PhD student here. Was introduced to Einblick while exploring possibilities with ML. The Einblick team took out time to understand my problem statement and offer a solution to how I could use ML for my data. In addition, had some sessions with ML basics.

The visual data science with Einblick works really well for someone with basic programming knowledge. It has a steep learning curve, and once used to the 'operators', one can easily perform most of the data analysis tasks amazingly quicker compared to programming.

Einblick and the team with Paul and Cynthia saved at least 3-4 months of my research time. With some experince with the software, I've been able to take my research into a new and interesting direction.

Nothing really to dislike. With time, it would just be better.

The product does what it says it does. It's an intuitive visual computing platform that makes data science easier to execute, accessible to learn and dare I say, enjoyable.

You still need to understand data science concepts to really get going. Einblick helps you learn and execute against these concepts, but it's not a magic wand.

Data science

Rapid model/project exploration porototying. Exploratary data analysis is more fun using the intuitive drag and drop gui.

I dislike that I can not call a specific model already written in python.

Einblick is making data exploration quick, and enabling rapid model prototoying to demostrate a potential projects feasability.

.UI is easy and collaboration is built-in the platform

I'm new to this sort of DIY ML and analysis tools so my learning curve is steep

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I have been using Einblick for learning analytics and educational data mining research as part of my Ph.D. studies in the field of social informatics. I think one of the best things about Einblick is how it democratizes data science. It has an intuitive user interface that can really empower less technical users to get involved in making sense out of large, complex data sets. The ability to easily use the machine learning operators within the system makes it especially powerful for predictive modeling. Einblick is great for doing online collaborative exploration of big datasets. And finally, their support team is top-notch; they are wonderful and passionate people to work with.

There is so much that you can do with the Einblick platform, I know what I am missing out on making the most of its functionalities. The tutorial content is great, but I feel like Einblick will bet even better as the community of users grows and there is more knowledge-sharing among the members.

I am a Ph.D. student researching educational data mining and learning analytics. I have developed an educational app and I am using Einblick to do descriptive and predictive analytics on the student use of the app. Ph.D.