Data Science Workbench vs Dataiku DSS

Likelihood to Recommend

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.

Read full review

Verified User

Professional in Information Technology

Telecommunications Company, 1001-5000 employees

View all 3 answers on this topic

I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.

Read full review

Devesh Singh

Data Scientist II

Alumnus Software LimitedInformation Technology & Services, 51-200 employees

View all 3 answers on this topic

Feature Rating Comparison

Data Science Workbench

Dataiku DSS

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Data Science Workbench

Dataiku DSS

Visualization

Interactive Data Analysis

Data Science Workbench

Dataiku DSS

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Data Science Workbench

Dataiku DSS

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Data Science Workbench

Dataiku DSS

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Pros

One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
For larger organizations/teams, it lets you be self reliant
As it sits on your cluster, it has very easy access of all the data on the HDFS
Linking with Github is a very good way to keep the code versions intact

Read full review

Bharadwaj (Brad) Chivukula

Sr.Technical Manager/Delivery Manager

Nisum Technologies, Inc.Retail, 10,001+ employees

View all 3 answers on this topic

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

Read full review

Verified User

Engineer in Corporate

Oil & Energy Company, 10,001+ employees

View all 3 answers on this topic

Cons

Installation is difficult.
Upgrades are difficult.
Licensing options are not flexible.

Read full review

Verified User

Professional in Research & Development

Utilities Company, 10,001+ employees

View all 3 answers on this topic

The visualization feature of flow still has a lot room to improve, when the flow is complex.
The "non-coding" template/building block for deep learning lack of many important configurable parameters.
Lack of the unified way to allow applying the "design pattern" on the Python codes (if we want to develop our own module or building blocks.

Read full review

Verified User

Strategist in Information Technology

Package/Freight Delivery Company, 10,001+ employees

View all 3 answers on this topic

Usability

No score

No answers yet

No answers on this topic

Dataiku DSS 10.0

Based on 1 answer

As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

Read full review

Devesh Singh

Data Scientist II

Alumnus Software LimitedInformation Technology & Services, 51-200 employees

View all 1 answers on this topic

Support Rating

Data Science Workbench 6.7

Based on 2 answers

Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.

Read full review

Verified User

Professional in Information Technology

Telecommunications Company, 1001-5000 employees

View all 2 answers on this topic

Dataiku DSS 9.0

Based on 3 answers

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.

Read full review

Verified User

Engineer in Corporate

Oil & Energy Company, 10,001+ employees

View all 3 answers on this topic

Alternatives Considered

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.

Read full review

Bharadwaj (Brad) Chivukula

Sr.Technical Manager/Delivery Manager

Nisum Technologies, Inc.Retail, 10,001+ employees

View all 3 answers on this topic

Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.

Read full review

Verified User

Strategist in Information Technology

Package/Freight Delivery Company, 10,001+ employees

View all 3 answers on this topic

Return on Investment

Paid off for demonstration purposes.

Read full review

Verified User

Professional in Research & Development

Utilities Company, 10,001+ employees

View all 3 answers on this topic

So far it has had a positive impact. Multiple departments are coming to us with their business problems.
I can't specifically say about ROI as I'm a developer, though I have heard this solution is economical compared to other AI/ML enterprise tools.
By using this tool, my client has let go of software that was used earlier, and we have created a simpler framework to replace that software.

Read full review

Devesh Singh

Data Scientist II

Alumnus Software LimitedInformation Technology & Services, 51-200 employees

View all 3 answers on this topic

Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Rating Summary

Data Science Workbench

Dataiku DSS

Data Science Workbench

Dataiku DSS

Data Science Workbench

Dataiku DSS

Likelihood to Recommend