Data Science Workbench vs KNIME Analytics Platform

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.

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Verified User

Professional in Information Technology

Telecommunications Company, 1001-5000 employees

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If you have a team of engineers or data scientists who do not like to code, KNIME can be a good platform to build quick and dirty pipelines. However if you are moving away from R&D to deployment, KNIME lacks the scalability compared to Python or R itself. When deploying, you can choose to output json or use their native front end from KNIME Server, but KNIME Server is not free.

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Ivan Cui

Data Scientist - Biotech Data Science Digtialization (BDSD)

BayerPharmaceuticals, 10,001+ employees

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Feature Rating Comparison

Data Science Workbench

KNIME Analytics Platform

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Data Science Workbench

KNIME Analytics Platform

Visualization

Interactive Data Analysis

Data Science Workbench

KNIME Analytics Platform

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Data Science Workbench

KNIME Analytics Platform

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Data Science Workbench

KNIME Analytics Platform

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

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Bharadwaj (Brad) Chivukula

Sr.Technical Manager/Delivery Manager

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

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KNIME works better than most tools for ETL functions.
Easy to track the different steps
Easy to isolate and fix specific workflow steps.

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Verified User

Analyst in Information Technology

Retail Company, 1001-5000 employees

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Cons

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

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Verified User

Professional in Research & Development

Utilities Company, 10,001+ employees

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Visualization can be improved further though it has been better with new versions, with a lot of scope available. However, connectivity to Tableau somehow overcomes this. Also, skilled resources are difficult to find for KNIME, due to other solutions having better penetration.
Knowledge of R/Python is required to fully use the statistical analysis (rather than just data mining). Also, memory usage is a problematic issue sometimes.
Not enough domain usage experience can be shared between KNIME users as well.

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Rohit Narang

Assistant Vice President

HSBC Commercial BankingFinancial Services, 10,001+ employees

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Likelihood to Renew

No score

No answers yet

No answers on this topic

KNIME Analytics Platform 8.0

Based on 1 answer

I am happy with the product. It provides the required functionality.

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Verified User

Analyst in Information Technology

Retail Company, 1001-5000 employees

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Usability

No score

No answers yet

No answers on this topic

KNIME Analytics Platform 8.0

Based on 1 answer

It performs all the required functions.

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Verified User

Analyst in Information Technology

Retail Company, 1001-5000 employees

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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.

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Verified User

Professional in Information Technology

Telecommunications Company, 1001-5000 employees

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KNIME Analytics Platform 6.7

Based on 4 answers

Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.

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Verified User

Professional in Research & Development

Consumer Electronics Company, 5001-10,000 employees

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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.

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Bharadwaj (Brad) Chivukula

Sr.Technical Manager/Delivery Manager

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

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KNIME is a lower price point and has strong cross platform capabilities. Other platforms are locked to a specific operating system and cost in some cases substantially more, making them less good choices for smaller businesses that still need basic data unification. The fact that KNIME is OS-independent is a big positive.

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Christopher Penn

Co-Host

Marketing Over CoffeeResearch, 1-10 employees

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Return on Investment

Paid off for demonstration purposes.

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Verified User

Professional in Research & Development

Utilities Company, 10,001+ employees

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Lowest TCO compared to other tools
Accelerates analysis - the analysts can dedicate more time to analysis itself, not to data preparation

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Viktor Mulac

Senior Consultant

A.T. KearneyManagement Consulting, 1001-5000 employees

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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

KNIME Analytics Platform

Data Science Workbench

KNIME Analytics Platform

Data Science Workbench

KNIME Analytics Platform

Data Science Workbench

KNIME Analytics Platform

Data Science Workbench

KNIME Analytics Platform

Likelihood to Recommend