What users are saying about
14 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 7.3 out of 100
Based on 14 reviews and ratings
1 Rating
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 6 out of 100
Based on 1 reviews and ratings
Feature Set Ratings
Platform Connectivity
7.5
Data Science Workbench
75%
SAP Vora
Feature Set Not Supported
N/A
Cloudera Data Science Workbench ranks higher in 4/4 features
Cloudera Data Science Workbench ranks higher in 4/4 features
Connect to Multiple Data Sources
7.0
70%
2 Ratings
N/A
0 Ratings
Extend Existing Data Sources
8.0
80%
2 Ratings
N/A
0 Ratings
Automatic Data Format Detection
7.0
70%
2 Ratings
N/A
0 Ratings
MDM Integration
8.0
80%
2 Ratings
N/A
0 Ratings
Data Exploration
7.6
Data Science Workbench
76%
SAP Vora
Feature Set Not Supported
N/A
Cloudera Data Science Workbench ranks higher in 2/2 features
Cloudera Data Science Workbench ranks higher in 2/2 features
Visualization
7.1
71%
2 Ratings
N/A
0 Ratings
Interactive Data Analysis
8.0
80%
2 Ratings
N/A
0 Ratings
Data Preparation
7.8
Data Science Workbench
78%
SAP Vora
Feature Set Not Supported
N/A
Cloudera Data Science Workbench ranks higher in 4/4 features
Cloudera Data Science Workbench ranks higher in 4/4 features
Interactive Data Cleaning and Enrichment
7.0
70%
2 Ratings
N/A
0 Ratings
Data Transformations
8.0
80%
2 Ratings
N/A
0 Ratings
Data Encryption
8.0
80%
2 Ratings
N/A
0 Ratings
Built-in Processors
8.0
80%
2 Ratings
N/A
0 Ratings
Platform Data Modeling
7.6
Data Science Workbench
76%
SAP Vora
Feature Set Not Supported
N/A
Cloudera Data Science Workbench ranks higher in 4/4 features
Cloudera Data Science Workbench ranks higher in 4/4 features
Multiple Model Development Languages and Tools
8.0
80%
2 Ratings
N/A
0 Ratings
Automated Machine Learning
7.0
70%
1 Rating
N/A
0 Ratings
Single platform for multiple model development
7.1
71%
2 Ratings
N/A
0 Ratings
Self-Service Model Delivery
8.1
81%
2 Ratings
N/A
0 Ratings
Model Deployment
8.0
Data Science Workbench
80%
SAP Vora
Feature Set Not Supported
N/A
Cloudera Data Science Workbench ranks higher in 2/2 features
Cloudera Data Science Workbench ranks higher in 2/2 features
Flexible Model Publishing Options
8.1
81%
2 Ratings
N/A
0 Ratings
Security, Governance, and Cost Controls
7.8
78%
2 Ratings
N/A
0 Ratings
Attribute Ratings
- Cloudera Data Science Workbench is rated higher in 1 area: Likelihood to Recommend
Likelihood to Recommend
8.9
Data Science Workbench
89%
3 Ratings
6.0
SAP Vora
60%
1 Rating
Support Rating
7.7
Data Science Workbench
77%
3 Ratings
SAP Vora
N/A
0 Ratings
Likelihood to Recommend
Data Science Workbench
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.

Verified User
Professional in Information Technology
Telecommunications Company, 1001-5000 employeesSAP Vora
I spent more than 1 year with SAP Vora, SAP Datahub and SAP Leonardo with ML, iOt. I believe this product has potential but it is not easy to adopt. SAP has to keep in mind how open-source big data technologies are able to deliver quick results. I know SAP is stabilizing and fighting hard against many open source technologies, but it still has a long way to go there.
Lead Consultant
InfosysInformation Technology and Services, 10,001+ employees
Pros
Data Science Workbench
- 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
Sr.Technical Manager/Delivery Manager
Nisum Technologies, Inc.Retail, 10,001+ employees
SAP Vora
- Modelling with SAP HANA and Hadoop
- Realtime Analysis using Vora and HANA as a Streaming engine
- Time series Analysis on large chunks of datasets
- Machine learning capabilities on Hadoop tables and spark contexts
Lead Consultant
InfosysInformation Technology and Services, 10,001+ employees
Cons
Data Science Workbench
- Installation is difficult.
- Upgrades are difficult.
- Licensing options are not flexible.

Verified User
Professional in Research & Development
Utilities Company, 10,001+ employeesSAP Vora
- Vora 2.0 in on premise scenarios could be improved, as adoption of the cloud is not an easy sell.
- Kubernetes and Docker integration need to be more seamless and quick to understand. If this is simplified, it will be easy to adopt
- Data hub orchestration and integrations could be simplified so that quick adoption within SAP BW, ECC, S4 HANa scenarios is possible.
Lead Consultant
InfosysInformation Technology and Services, 10,001+ employees
Pricing Details
Data Science Workbench
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—SAP Vora
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—Support Rating
Data Science Workbench
Data Science Workbench 7.7
Based on 3 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.

Verified User
Professional in Information Technology
Telecommunications Company, 1001-5000 employeesSAP Vora
No score
No answers yet
No answers on this topic
Alternatives Considered
Data Science Workbench
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.
Sr.Technical Manager/Delivery Manager
Nisum Technologies, Inc.Retail, 10,001+ employees
SAP Vora
No answers on this topic
Return on Investment
Data Science Workbench
- Paid off for demonstration purposes.

Verified User
Professional in Research & Development
Utilities Company, 10,001+ employeesSAP Vora
- Negative impact would be Poc and RFI will need more time to adopt and decision making gets delayed
- Positive impact would be it's a great leap from SAP to adopt a Big data technologies and AI within cloud stream. But selling is going to take time.
Lead Consultant
InfosysInformation Technology and Services, 10,001+ employees