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Dataiku

Self service analytics and machine learning tool

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Dataiku Pricing, Features, Reviews and Alternatives

Dataiku product overview

Price starts from

0.01

Per year

What is Dataiku?

Dataiku DSS is a data platform designed to help businesses of all sizes utilize artificial intelligence and machine learning technologies to prepare, visualize, monitor, and deploy data sets. Designed for analytics leaders, data scientists, IT engineers, and business analysts, it allows users to automatically detect, connect, and unify all data sources on a centralized platform.

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Platforms supported

Web
Android
iPhone/iPad

Support options

FAQs/Forum
Email/Help Desk
Phone Support
Knowledge Base
Chat

Training options

Documentation
Live Online
In Person
Webinars

Dataiku pricing information

Value for money

4.7

/5

7

Starting from

0.01

Per year

Pricing options

Free plan
Subscription
Free trial
Pricing range

Value for money contenders

Dataiku features

Functionality

4.4

/5

7

Total features

37

8 categories

Most valued features by users

API
Reporting/Analytics
Third Party Integrations
Natural Language Processing
Data Import/Export
Search/Filter
Workflow Management
Monitoring

Functionality contenders

Dataiku users reviews

Overall Rating

4.6

/5

7

Positive reviews

Rating breakdown
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8.8/10
Rating distribution

5

4

3

2

1

4

3

0

0

0

Overall rating contenders

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend10/10

Share this review:

Dataiku - Future of Data Science Platform

Reviewed 9 months ago

Whether the project requires data accumulation, or preprocessing, or data manipulation, or extracting business insights from data, Dataiku is the go-to platform. It covers end-to-end project execution and deployment along with providing API support.

Pros

time saving, useful for both coders and non-coders, allows for multi-user collaboration and monitoring, creating flowcharts help in maintaining granularity

Cons

It is in the early phase of its launch, 8 years old precisely. Hence, the customer support is not as widespread as other customer supports like stackoverflow, etc.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support

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Making Kaggle Submissions with DSS

Reviewed 7 years ago

As a non - data scientist, i was curious to see how DSS could help me with the data preparation (cleaning and combining data), feature engineering and predictive modelling phases of a data analysis project My goal was to make 2 submissions on Kaggle challenges in under 1 hour and without 1 line of code using the Data Science Studio (Titanic and Otto Product Classification datasets). First, I...

Pros

No pros were added to this review

Cons

No cons were added to this review

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend7/10

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Great Product for Data Science Enablement

Reviewed 2 months ago

The breadth of choices that one gets with the product is esstial for anyone transioning to get more data science enablement. This platform is great to have a streamlined and operational portfolio of all your data requirements. There are outages that might occur once in a while but the quick turnaround time ensures that work is not compromised

Pros

The ease of onboarding people onto the platfrom is seemless. In addition, Dataiku provides their own modules that help in getting accustomed to the product. The width of options that you get for analysis is also vast and might be a one stop solution for all data science needs

Cons

The least enjoyable expereince of this product has to be the outages that become frequent with each version revision.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend10/10

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(Predictive) data analysis comprehensible and manageable

Reviewed 4 months ago

We had used Dataiku for first, in-house data analyses. This allowed us to assess the added value of predictive data analysis ("AI") in particular.

Pros

Getting started with the software is easy and the online tutorials are quite comprehensive. Even beginners relatively unfamiliar with the subject (similar to "Citizen Data Scientist") can get a good start with the tool. This is made possible primarily by the easy-to-understand graphical interface. The selection of machine learning algorithms met our requirements.

Cons

Dataiku is not yet so widely used. As a result, it is often more difficult to get help for specific problems or errors.

Overall Rating
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend9/10

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Makes Advanced Analytics User Friendly

Reviewed a year ago

Overall even at the high cost I would recommend this to enable business users since the value proposition is very good. Perhaps no other tool in the market that makes data analytics so accessible

Pros

Intuitive UI for business users to interact with data in an excel like fashion and still be able to run advanced analytics on the data sets. Collaboration is effective.

Cons

It is expensive for IT to implement. They have packaged easily open source available code but have put in a user friendly UI. Data processing charges are high compared to competition.

Dataiku FAQs and common questions

Q. What type of pricing plans does Dataiku offer?

Dataiku has the following pricing plans:
Starting from: $0.01/year
Pricing model: Free, Subscription
Free Trial: Available


Q. Who are the typical users of Dataiku?

Dataiku has the following typical customers:
Large Enterprises, Mid Size Business, Small Business


Q. What languages does Dataiku support?

Dataiku supports the following languages:
English, German, French, Spanish


Q. Does Dataiku offer an API?

Yes, Dataiku has an API available for use.


Q. What level of support does Dataiku offer?

Dataiku offers the following support options:
FAQs/Forum, Email/Help Desk, Phone Support, Knowledge Base, Chat

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