Dataiku Customer Reviews 2024

Dataiku

7.8 /10

What is Dataiku?

Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way.

Company Details

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Dataiku Ratings

Real user data aggregated to summarize the product performance and customer experience.

89 Likeliness to Recommend

100 Plan to Renew

92 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+99 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Dataiku?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 82

Data Profiling

Data Pre-Processing

Data Labeling

Data Mining

Data Modelling Tools

Data Access

Data Security

Collaboration

Data Packaging

Data Enrichment

Data Cleansing

Vendor Capability Ratings

Average 83

Business Value Created

Ease of IT Administration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of Implementation

Quality of Features

Ease of Customization

Usability and Intuitiveness

Breadth of Features

Vendor Support

Ease of Data Integration

Also Featured in...

Machine Learning Platforms

Score 7.9

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Dataiku Reviews

Micheal C.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2022

Great experience with Dataiku DSS.

Likeliness to Recommend

8 /10

What differentiates Dataiku from other similar products?

The flows create it simple to see my data flow, rather than having multiple files everywhere. It saves me loads of your time once cleaning data and mixing completely different languages and technologies like SQL, Python and R within the same project. The plugin feature conjointly offers me a lot of flexibility. The fact that you simply will insert new data to your database from DSS, automate flows insert checks, and so forth makes the whole method very intuitive and saves a lot of time.

What is your favorite aspect of this product?

Dataiku DSS allows me to figure with each structured data, which features a normal schema, & unstructured data, which has various schema records. It aids with dataset manipulation at a definite level as it’s analogous to our SQL tables and custom SQL query. It may also execute our Python scripts with the inclusion of Pandas library, Pig scripts, and Hive queries. Dataiku DSS has many beneficial functions. That is very helpful to different organizations. It is so promising application.

What do you dislike most about this product?

Some minor bugs exist and a few options are still needed. I have faced bugs when group action with Snowflake, however no major issues. Since it’s a brand new tool, we often face problems because of missing options, however, the support team is usually willing to assist and add those features to their development pipeline.

What recommendations would you give to someone considering this product?

I take advantage of it for just about everything at work now, from recommender systems to forecasting. It saves me an enormous quantity of time.

Pros

Continually Improving Product
Performance Enhancing
Unique Features
Saves Time

Austin S.

Role: Industry Specific Role
Industry: Retail
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2022

Powerful data preparation platform

Likeliness to Recommend

9 /10

What differentiates Dataiku from other similar products?

I have no experience from such powerful data preparation platform in the company.

What is your favorite aspect of this product?

It tracks down all data that runs across the entire organization and extracts all useful data for planning and decision-making. Our company has grown faster due to the use of quality and uncontaminated data that we use.

What do you dislike most about this product?

Everything has been runing well from my observation. I have ever experienced any hardship while working with this software.

What recommendations would you give to someone considering this product?

Data management infrastructure has been stable since we deployed this platform. I totally recommend Dataiku Data Science Studio (DSS) to othe business enterprises for excellent data management processes.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Trustworthy

Sümmani D.

Role: Industry Specific Role
Industry: Food and Beverage
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2022

Easy to use, lots of features for all kind of work

Likeliness to Recommend

9 /10

What differentiates Dataiku from other similar products?

Fast integration and flexibility to make new features depending your needs

What is your favorite aspect of this product?

Features ready to use Speed

What do you dislike most about this product?

If user number is high and everybody working a big project, errors pop up Interface

What recommendations would you give to someone considering this product?

Get a trial and test most of the features

Pros

Enables Productivity
Trustworthy
Unique Features
Effective Service

Dataiku

What is Dataiku?

Company Details

Need Assistance?

Dataiku Ratings

89 Likeliness to Recommend

100 Plan to Renew

92 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+99 Net Emotional Footprint

How much do users love Dataiku?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Labeling Ability to annotate/ label data to create a training data set.

Data Mining Explorative automated analysis of data to discover patterns and trends

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Also Featured in...

Machine Learning Platforms

Dataiku Reviews

Micheal C.

Great experience with Dataiku DSS.

Likeliness to Recommend

Pros

Austin S.

Powerful data preparation platform

Likeliness to Recommend

Pros

Sümmani D.

Easy to use, lots of features for all kind of work

Likeliness to Recommend

Pros

Feature Ratings

Data Profiling

Data Pre-Processing

Data Labeling

Data Mining

Data Modelling Tools

Data Access

Data Security

Collaboration

Data Packaging

Data Enrichment

Data Cleansing

Vendor Capability Ratings

Business Value Created

Ease of IT Administration

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of Implementation

Quality of Features

Ease of Customization

Usability and Intuitiveness

Breadth of Features

Vendor Support

Ease of Data Integration