TrustRadius

Cloudera Data Science Workbench vs. Hydrograph

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
Hydrograph
Score 8.0 out of 10
N/A
Bitwise offers Hydrograph, a data integration tool with provides ETL functionality on Hadoop and Spark.N/A
Pricing
Cloudera Data Science WorkbenchHydrograph
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Data Science WorkbenchHydrograph
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Cloudera Data Science WorkbenchHydrograph
Top Pros
Top Cons
Features
Cloudera Data Science WorkbenchHydrograph
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
2 Ratings
10% below category average
Hydrograph
-
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
Hydrograph
-
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
4% below category average
Hydrograph
-
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
Hydrograph
-
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
Hydrograph
-
Ratings
Flexible Model Publishing Options8.12 Ratings00 Ratings
Security, Governance, and Cost Controls7.82 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Hydrograph
6.0
1 Ratings
33% below category average
Connect to traditional data sources00 Ratings5.01 Ratings
Connecto to Big Data and NoSQL00 Ratings7.01 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Hydrograph
6.5
1 Ratings
24% below category average
Simple transformations00 Ratings5.01 Ratings
Complex transformations00 Ratings8.01 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Hydrograph
5.4
1 Ratings
39% below category average
Data model creation00 Ratings7.01 Ratings
Business rules and workflow00 Ratings4.01 Ratings
Collaboration00 Ratings5.01 Ratings
Testing and debugging00 Ratings6.01 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Cloudera Data Science Workbench
-
Ratings
Hydrograph
6.5
1 Ratings
24% below category average
Integration with data quality tools00 Ratings6.01 Ratings
Integration with MDM tools00 Ratings7.01 Ratings
Best Alternatives
Cloudera Data Science WorkbenchHydrograph
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.0 out of 10
Skyvia
Skyvia
Score 9.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Posit
Posit
Score 9.6 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data Science WorkbenchHydrograph
Likelihood to Recommend
9.0
(3 ratings)
8.0
(1 ratings)
Support Rating
7.9
(2 ratings)
-
(0 ratings)
User Testimonials
Cloudera Data Science WorkbenchHydrograph
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.
Verified User
Anonymous
Read full review
Bitwise
hydrograph is very usefull when we need to analyze big data. in our scenario it helped a lot with rdms databases
HH
huzefa Hussain
IT consultant
Read full review
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
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer
Bharadwaj (Brad) Chivukula
Sr.Technical Manager/Delivery Manager
Read full review
Bitwise
  • Coupling between complex model and MapReduce framework without reducer procedure was simplified.
  • The ability to reduce execution time and handle partial failure
  • The framework adapts to higherned complex model
HH
huzefa Hussain
IT consultant
Read full review
Cons
Cloudera
  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Verified User
Anonymous
Read full review
Bitwise
  • Microsoft azure is recently joined in 2020 that can be improved.
HH
huzefa Hussain
IT consultant
Read full review
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.
Verified User
Anonymous
Read full review
Bitwise
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.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer
Bharadwaj (Brad) Chivukula
Sr.Technical Manager/Delivery Manager
Read full review
Bitwise
Snap logic fits good for small/medium whereas hydrograph suits even for Enterprise grade.
HH
huzefa Hussain
IT consultant
Read full review
Return on Investment
Cloudera
  • Paid off for demonstration purposes.
Verified User
Anonymous
Read full review
Bitwise
  • Their is no tangible ROI for us Management of bid data is easy.
HH
huzefa Hussain
IT consultant
Read full review
ScreenShots