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Dataiku DSS

Dataiku | 6.0.1

Linux/Unix, CentOS 7 - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

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External reviews

11 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Sümmani D.

A Good Support For Your Big Data

  • October 30, 2019
  • Review verified by G2

What do you like best?
Ease of use
Lots of recipes for your all kind of work
What do you dislike?
Workload, if user number is high and everybody working a big project, sometimes we got errors but it is not big deal.
What problems are you solving with the product? What benefits have you realized?
Big data analysis
Consumer insights
Social media insights
Image analytics


    Banking

Complete package

  • October 29, 2019
  • Review provided by G2

What do you like best?
The fact that whole process can be done under one platform
What do you dislike?
Cannot run all the models and validation is bit tricky
What problems are you solving with the product? What benefits have you realized?
It has automated whole process which would bave taken weeks to done


    Machinery

Good when it works

  • October 03, 2019
  • Review provided by G2

What do you like best?
Ability to slice and dice data from the interface... it’s web based application used to blast our data to entire org
What do you dislike?
Glorified excel, slow to use and often is not very customizable
What problems are you solving with the product? What benefits have you realized?
Not very customizable or dynamic...Like the canned reports
Recommendations to others considering the product:
Evaluate the requirements before plunging into this


    Bashir A.

Clean user experience and easy to use

  • September 25, 2019
  • Review provided by G2

What do you like best?
Dataiku provides tutorials on its many aspects. For example, there is a tutorial for building and training models for your dataset.
What do you dislike?
The free version does not come with a basic server to keep your datasets/flows on.
What problems are you solving with the product? What benefits have you realized?
As part of work, we are solving social analytics and how social media can help us drive our decisions for the people


    Gissele G.

Perfect tool in the market for data workflow

  • September 22, 2019
  • Review provided by G2

What do you like best?
This software is very helpful in attracting multiple users, the analyses it does are excellent, the interface it offers is very clean and easy to use for data engineering, data analysis and data visualization, innovation and constant improvements of the platform, such as its latest integration with GitHub, for example, make the tool a great added value, the perfect tool to gather data and expertise on the subject throughout the company and to ensure security. It also has a great collaboration environment and complete parameterization of Predictive and Machine Learning algorithms, with full access to its source code.
What do you dislike?
I wish there was a free version of dataiku elements", plus it doesn't do tasks on its own, but they're just small things.
What problems are you solving with the product? What benefits have you realized?
It helps us a lot with email, retail, automotive, marketing, tourism, etc. It is perfect for predictive maintenance, demand forecasting, dynamic pricing and more.
Recommendations to others considering the product:
This software is highly recommended. I would say you can trust it.


    M G Krishna Reddy N.

Best tool for both data scientists and data engineers

  • September 20, 2019
  • Review provided by G2

What do you like best?
Easy of use,We are using it to build data pipeline for our data lake.It takes care of all the configuration things ,engineers just need to concentrate on scripting
What do you dislike?
Some of the restrictions on the platform,a better scheduler would be a good one
What problems are you solving with the product? What benefits have you realized?
Data pipelining made simple


    Aviation & Aerospace

Excellent Technology to Drive Self-Service Data at Enterprise Scale

  • April 30, 2019
  • Review provided by G2

What do you like best?
Dataiku Data Science Studio is a great technology for engaging users through multiple parts of the analytics life cycle across all skill levels in any division of the business. This makes it an excellent tool for bringing together data and subject matter expertise across the company and for ensuring governance and security.

Additionally, Dataiku has many strong technologists in it's organization that ensure that the tool continues to evolved and stay contemporary in a fast moving space.
What do you dislike?
Licensing negotiations can be difficult and pricing is high enough that it can make stakeholders shy away.
What problems are you solving with the product? What benefits have you realized?
Enabling Self-Service Data at an enterprise scale. Specifically for data engineering and data science work. Benefits have included multi-million dollars of savings and democratization of data and analytics across the business.
Recommendations to others considering the product:
Do a careful analysis of the vendors in this space and make sure you focus on technical capability. Many of the easier evaluation methods (especially quadrants) can be misleading because they do not weigh technical capability and enterprise capability as heavily as they should.


    Somesh S.

Dataiku is the best data workflow tool in the market!

  • April 26, 2019
  • Review provided by G2

What do you like best?
Dataiku offers a very clean, intuitive and user-friendly interface with functionality for data engineering, data analytics and data visualization. The visual recipes specifically and the ability to transform data without writing code is the best feature of the tool. The ability to easily schedule jobs inside the tool itself is a great feature as well. Unlike most of it's competitors, allowing in database execution is what sets Dataiku apart from the rest. The innovation and constant improvements to the platform such as their latest integration with GitHub for example make the tool a huge value add. Lastly, the user friendly staff that is dedicated to customer success is simply phenomenal to work with.
What do you dislike?
The tool lacks good data visualization functionality. It does not offer drill down functionality in visualizations or interactive charts that work together. Additionally, the license cost is definitely on the higher end.
What problems are you solving with the product? What benefits have you realized?
Beyond supporting projects in every organization of the business such as Engineering, Supply Chain, Finance, Marketing, etc. the tool has enabled non-technical business users to build their own sustainable data products in our shared data lake environment. It has played a key role in our digital transformation.
Recommendations to others considering the product:
Definitely go for it! It's a great tool and a very innovative company.


    Information Technology and Services

It help me as a data scientist to explore multiple fields on a single platform

  • December 20, 2018
  • Review provided by G2

What do you like best?
It's a single platform to compute possibly everything and very user friendly.
Supports all the programming languages that are in market today. Very robust and adaptive to new processes and technologies
What do you dislike?
NoIt performs tasks on its own so we get less chances to explore our knowledge
What problems are you solving with the product? What benefits have you realized?
Using dataiku to implement NLP on a dataset consisting publications in the university business school. Performing data manipulation activities using regression and cleaning
Recommendations to others considering the product:
It's a need of the hour to invest time n learn this amazing tool as it's used in is really growing in most of the industries


    Oil & Energy

Fully collaborative, high ROI and productivity-oriented data science platform

  • May 31, 2017
  • Review verified by G2

What do you like best?
- very intuitive yet complete data science platform
- connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc)
- all the data-transformation, ML and scoring workflow can be exported to Python, R or other script
- possibility to plug-in pre-existing scripts in Python, R,
- collaborative environment
- full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code
- beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software
What do you dislike?
- data visualization could be improved
- a free "dataiku elements" version would be awesome
What problems are you solving with the product? What benefits have you realized?
Many succesful applications for Oil and Gas industry, fin-tech, e-commerce, retail, automotive, marketing, tourism, etc.
Especially useful for the following workflows:
> Predictive Maintenance
> Dynamic Segmentation
> Churn detection and minimization
> Customer Lifetime value prediction
> Demand Forecast
> Dynamic Pricing