Dataiku DSS

Dataiku is the a productive development platform for data professionals. This all-in-one tool integrates all the capabilities required to build end-to-end highly specific services that turn raw data into business impacting predictions quickly.

Languages supported: German, English, French, Spanish

8.4/10 (Expert Score) ★★★★★
Product is rated as #45 in category Data Science and Machine Learning Platforms
Ease of use
8.7
Support
8.2
Ease of Setup
9.3

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Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.

Customers across retail, e-commerce, health care, finance, transportation, the public sector, manufacturing, pharmaceuticals, and more use Dataiku to power self-service analytics while also ensuring the operationalization of machine learning models in production. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.

Dataiku DSS
Dataiku DSS

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Customer Reviews

Dataiku DSS Reviews

Arthur M.

Advanced user of Dataiku DSS
★★★★★
Great experience

What do you like best?

The flows make it very easy to visualize my data flow, instead of having multiple files everywhere. It saves me a lot of time when cleaning data and mixing different languages and technologies such as SQL, Python and R in the same project.

The plugin feature also gives me a lot of flexibility.

The fact that you can insert new data to your database from DSS, automate flows insert checks, etc. makes the whole process very intuitive and saves a lot of time.

Support is also great, very quick in answering our questions and very proactive in solving issues.

What do you dislike?

Some minor bugs exist and some features are still needed.

I have faced bugs when integrating with Snowflake, but no major issues.

Since it is a new tool, we often face issues due to missing features, but the support team is always willing to help and add those features to their development pipeline.

Support for IT infrastructure could be a bit more proactive too, sometimes we feel a bit lost with technical issues such as storage space and how DSS uses it.

What problems are you solving with the product? What benefits have you realized?

I use it for pretty much everything at work now, from recommender systems to forecasting. It saves me a huge amount of time.

I was able to collaborate with other teammates by sharing tables between projects, and automate reports and dashboards, including notifications in other tools, such as Microsoft Teams, to inform of any issues when updating those reports.

Review source: G2.com

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