Item: Dataiku
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

Platform is currently being used solely by our department due to licensing cost and budget reasons.

Platform offers a one stop shop for an (almost) end to end development of data analytics and machine learning products, including data import, manipulation, and visualization. It’s a low-code tool, and supports majority of workflow without the need for in-depth coding skills; this is a plus for exposing platform across a wider audience and use cases.

Pros and Cons

Low-code platform.
Open source version includes most valuable modules.
User friendly documentation.

End product deployment.

Return on Investment

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.

Alternatives Considered

RStudio, Domino and TIBCO Spotfire

Open source availability is a critical factor given licensing cost of other platforms and budget reasons. Secondly, the available features in the community version covers most of the use cases, thus making it comparable or even outdo commercial versions of other software. Finally, being able to install and deploy platform in a plug and play mode really accelerates its adoption across wider audience.

Support Rating

The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

Key Insights

Do you think Dataiku delivers good value for the price?

Yes

Are you happy with Dataiku's feature set?

Yes

Did Dataiku live up to sales and marketing promises?

Yes

Did implementation of Dataiku go as expected?

Yes

Would you buy Dataiku again?

Yes

Other Software Used

RStudio, Domino, TIBCO Spotfire

Likelihood to Recommend

For team(s) with varying levels of coding skills, the platform offers a one size fit all for most data analytics and machine learning projects that are of practical use in industrial settings (e.g. time series forecasting, predictive maintenance and production optimization). In research and development work, where projects are cutting edge and no out of the box solutions are available, then platform is of minimal use, since custom data ingestion and manipulation may be required.

Low-Code Open-Source Data Analytics Platform!

Overall Satisfaction with Dataiku DSS