Cloudera Data Science Workbench vs. Hex.tech

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Data Science Workbench
Score 6.7 out of 10
N/A
Cloudera Data Science Workbench enables secure self-service data science for the enterprise. It is a collaborative environment where developers can work with a variety of libraries and frameworks.N/A
Hex
Score 10.0 out of 10
N/A
Hex (Hex Technologies, headquartered in San Francisco) helps people use data by building a collaborative, shareable analytics workspace. The Hex solution helps users empower users to ask new questions and share their findings in one product without any friction.
$75
per month per Author/Admin
Pricing
Cloudera Data Science WorkbenchHex.tech
Editions & Modules
No answers on this topic
Team
$75
per month per Author/Admin
Enterprise
Custom
Offerings
Pricing Offerings
Data Science WorkbenchHex
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Data Science WorkbenchHex.tech
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Cloudera Data Science WorkbenchHex.tech
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
2 Ratings
12% below category average
Hex.tech
-
Ratings
Connect to Multiple Data Sources7.02 Ratings00 Ratings
Extend Existing Data Sources8.02 Ratings00 Ratings
Automatic Data Format Detection7.02 Ratings00 Ratings
MDM Integration8.02 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
11% below category average
Hex.tech
-
Ratings
Visualization7.12 Ratings00 Ratings
Interactive Data Analysis8.02 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Cloudera Data Science Workbench
7.8
2 Ratings
6% below category average
Hex.tech
-
Ratings
Interactive Data Cleaning and Enrichment7.02 Ratings00 Ratings
Data Transformations8.02 Ratings00 Ratings
Data Encryption8.02 Ratings00 Ratings
Built-in Processors8.02 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
11% below category average
Hex.tech
-
Ratings
Multiple Model Development Languages and Tools8.02 Ratings00 Ratings
Automated Machine Learning7.01 Ratings00 Ratings
Single platform for multiple model development7.12 Ratings00 Ratings
Self-Service Model Delivery8.12 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Cloudera Data Science Workbench
8.0
2 Ratings
7% below category average
Hex.tech
-
Ratings
Flexible Model Publishing Options8.12 Ratings00 Ratings
Security, Governance, and Cost Controls7.82 Ratings00 Ratings
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Cloudera Data Science WorkbenchHex.tech
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Score 8.2 out of 10
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Score 8.4 out of 10
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All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data Science WorkbenchHex.tech
Likelihood to Recommend
9.0
(3 ratings)
10.0
(1 ratings)
Support Rating
7.9
(2 ratings)
-
(0 ratings)
User Testimonials
Cloudera Data Science WorkbenchHex.tech
Likelihood to Recommend
Cloudera
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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Hex Technologies, Inc
Hex.tech is an excellent tool for a product intelligence or product analytics team that wants to enable widespread use of available data for decision-making. It requires some SQL experience in many cases but makes it possible to go far without complex querying skills.
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Pros
Cloudera
  • 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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Hex Technologies, Inc
  • Powerful interactive notebook environment
  • Balances the need of code and non-code users
  • Provides free and easy sharing to viewers of analyses across the company
  • Responds promptly to support requests and needs
  • High quality native charting capabilities
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Cons
Cloudera
  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
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Hex Technologies, Inc
  • Limited support for R notebooks
  • Limited sharing outside of the app (e.g., no slack integration)
  • Some Python knowledge needed for highest levels of aggregations
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Support Rating
Cloudera
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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Hex Technologies, Inc
No answers on this topic
Alternatives Considered
Cloudera
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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Hex Technologies, Inc
Hex.tech is the easiest to use, most enjoyable experience, most powerful environment, and most cost scalable of all the above.
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Return on Investment
Cloudera
  • Paid off for demonstration purposes.
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Hex Technologies, Inc
  • Increased visibility into analyses with free membership tier across company
  • Increased capacity for self-service analytics among R&D stakeholders (e.g., product managers)
  • Improved productivity of data science team with ease of use
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ScreenShots