Data Science Workbench vs Mode

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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For any data scientists or engineers willing to do advanced analytics. The simple analytics in it are hard to do. And business users with no knowledge of SQL will have a problem to even get started. The availability of Python and JS will give advanced users a lot of flexibility without the need to learn anything new. IT will just streamline access to data and management of notebook versions.

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Alexandre Rezende

Quantitative Researcher

SaveFinancial Services, 1-10 employees

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Feature Rating Comparison

Data Science Workbench

Mode

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Data Science Workbench

Mode

Visualization

Interactive Data Analysis

Data Science Workbench

Mode

Interactive Data Cleaning and Enrichment

Mode

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Delivery to Remote Servers

Data Science Workbench

Mode

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

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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Connect to databases
Python Notebooks
Flexible analysis modes

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Alexandre Rezende

Quantitative Researcher

SaveFinancial Services, 1-10 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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Requires advanced knowledge to use
Drilldowns and filters are not simple

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Alexandre Rezende

Quantitative Researcher

SaveFinancial Services, 1-10 employees

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Usability

No score

No answers yet

No answers on this topic

Mode 10.0

Based on 1 answer

For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.

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Alexandre Rezende

Quantitative Researcher

SaveFinancial Services, 1-10 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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Mode 10.0

Based on 1 answer

I didn't have to use IT support, so I don't know. But the system is asking me to give a rating. The documentation is good.

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Alexandre Rezende

Quantitative Researcher

SaveFinancial Services, 1-10 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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Mode is the best for the advanced user with advanced use cases. Even creating a simple report will require an SQL query. No drag-and-drop interface for querying data. But it is best for the advanced user already familiar with Python or R and SQL. The other products are more business friendly.

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Alexandre Rezende

Quantitative Researcher

SaveFinancial Services, 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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It saved engineering the trouble to create and maintain advanced reports

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Alexandre Rezende

Quantitative Researcher

SaveFinancial Services, 1-10 employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Mode

Data Science Workbench

Mode

Likelihood to Recommend