Cloudera Data Science Workbench vs. Mode Analytics

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
Mode
Score 8.1 out of 10
N/A
Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.N/A
Pricing
Cloudera Data Science WorkbenchMode Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Data Science WorkbenchMode
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 WorkbenchMode Analytics
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Cloudera Data Science WorkbenchMode Analytics
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
2 Ratings
11% below category average
Mode Analytics
-
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
Mode Analytics
-
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
5% below category average
Mode Analytics
-
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
10% below category average
Mode Analytics
-
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
6% below category average
Mode Analytics
-
Ratings
Flexible Model Publishing Options8.12 Ratings00 Ratings
Security, Governance, and Cost Controls7.82 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Mode Analytics
8.5
9 Ratings
4% above category average
Pixel Perfect reports00 Ratings9.34 Ratings
Customizable dashboards00 Ratings8.49 Ratings
Report Formatting Templates00 Ratings7.86 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Mode Analytics
7.5
9 Ratings
7% below category average
Drill-down analysis00 Ratings7.18 Ratings
Formatting capabilities00 Ratings6.79 Ratings
Integration with R or other statistical packages00 Ratings7.49 Ratings
Report sharing and collaboration00 Ratings8.78 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Mode Analytics
7.9
8 Ratings
5% below category average
Publish to Web00 Ratings8.15 Ratings
Publish to PDF00 Ratings5.98 Ratings
Report Versioning00 Ratings7.74 Ratings
Report Delivery Scheduling00 Ratings9.58 Ratings
Delivery to Remote Servers00 Ratings8.34 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Mode Analytics
6.5
9 Ratings
21% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.79 Ratings
Location Analytics / Geographic Visualization00 Ratings5.56 Ratings
Predictive Analytics00 Ratings6.46 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Mode Analytics
9.4
2 Ratings
10% above category average
Multi-User Support (named login)00 Ratings10.02 Ratings
Role-Based Security Model00 Ratings9.02 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.02 Ratings
Single Sign-On (SSO)00 Ratings9.82 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Mode Analytics
9.0
1 Ratings
13% above category average
REST API00 Ratings9.01 Ratings
Best Alternatives
Cloudera Data Science WorkbenchMode Analytics
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Mathematica
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Score 10.0 out of 10
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User Ratings
Cloudera Data Science WorkbenchMode Analytics
Likelihood to Recommend
9.0
(3 ratings)
8.1
(9 ratings)
Usability
-
(0 ratings)
8.1
(4 ratings)
Support Rating
7.9
(2 ratings)
7.4
(5 ratings)
User Testimonials
Cloudera Data Science WorkbenchMode Analytics
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.
Read full review
ThoughtSpot
Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.
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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
Read full review
ThoughtSpot
  • It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
  • It allows for easy sharing and work collaboration on data analysis tasks
  • Mode has an easier to use SQL editor as well
  • I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on
Read full review
Cons
Cloudera
  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Read full review
ThoughtSpot
  • Date ranges aren't always the most intuitive to set, strangely
  • Faster refresh rates would be ideal
  • Would love more dynamic mobile device integration (alerts, etc)
Read full review
Usability
Cloudera
No answers on this topic
ThoughtSpot
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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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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ThoughtSpot
Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.
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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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ThoughtSpot
We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.
Read full review
Return on Investment
Cloudera
  • Paid off for demonstration purposes.
Read full review
ThoughtSpot
  • Extremely positive. It's a key feature in our application.
  • Were it not for the account management bit, Mode would be hands-down our recommendation for anyone looking for cloud BI.
Read full review
ScreenShots