Cloudera Data Science Workbench vs. Microsoft SQL Server

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
Microsoft SQL Server
Score 8.6 out of 10
N/A
Microsoft SQL Server is a relational database.
$1,418
Per License
Pricing
Cloudera Data Science WorkbenchMicrosoft SQL Server
Editions & Modules
No answers on this topic
Subscription
$1,418.00
Per License
Enterprise
$13,748.00
Per License
Offerings
Pricing Offerings
Data Science WorkbenchMicrosoft SQL Server
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 WorkbenchMicrosoft SQL Server
Features
Cloudera Data Science WorkbenchMicrosoft SQL Server
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
Microsoft SQL Server
-
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
Microsoft SQL Server
-
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
Microsoft SQL Server
-
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
Microsoft SQL Server
-
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
Microsoft SQL Server
-
Ratings
Flexible Model Publishing Options8.12 Ratings00 Ratings
Security, Governance, and Cost Controls7.82 Ratings00 Ratings
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Cloudera Data Science WorkbenchMicrosoft SQL Server
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Score 8.5 out of 10
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Score 8.0 out of 10
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Posit
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Score 10.0 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Enterprises
Posit
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Score 10.0 out of 10
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User Ratings
Cloudera Data Science WorkbenchMicrosoft SQL Server
Likelihood to Recommend
9.0
(3 ratings)
8.0
(107 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(8 ratings)
Usability
-
(0 ratings)
7.6
(17 ratings)
Availability
-
(0 ratings)
10.0
(1 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
7.9
(2 ratings)
7.9
(26 ratings)
In-Person Training
-
(0 ratings)
9.0
(1 ratings)
Online Training
-
(0 ratings)
9.0
(1 ratings)
Implementation Rating
-
(0 ratings)
9.0
(6 ratings)
Configurability
-
(0 ratings)
10.0
(1 ratings)
Ease of integration
-
(0 ratings)
9.0
(1 ratings)
Product Scalability
-
(0 ratings)
9.0
(1 ratings)
Vendor post-sale
-
(0 ratings)
9.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Cloudera Data Science WorkbenchMicrosoft SQL Server
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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Microsoft
Microsoft SQL is ubiquitous, while MySQL runs under the hood all over the place. Microsoft SQL is the platform taught in colleges and certification courses and is the one most likely to be used by businesses because it is backed by Microsoft. Its interface is friendly (well, as pleasant as SQL can be) and has been used by so many for so long that resources are freely available if you encounter any issues.
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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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Microsoft
  • Easy to configure and use with Visual Studio and Dot Net
  • Easy integration with MSBI to perform data analysis
  • Data Security
  • Easy to understand and use
  • Very easy to export database and tables in the form of SQL query or a script
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Cons
Cloudera
  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
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Microsoft
  • Microsoft SQL Server Enterprise edition has a high cost but is the only edition which supports SQL Always On Availability Groups. It would be nice to include this feature in the Standard version.
  • Licensing of Microsoft SQL Server is a quite complex matter, it would be good to simplify licensing in the future. For example, per core vs per user CAL licensing, as well as complex licensing scenarios in the Cloud and on Edge locations.
  • It would be good to include native tools for converting Oracle, DB2, Postgresql and MySQL/MariaDB databases (schema and data) for import into Microsoft SQL Server.
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Likelihood to Renew
Cloudera
No answers on this topic
Microsoft
We understand that the Microsoft SQL Server will continue to advance, offering the same robust and reliable platform while adding new features that enable us, as a software center, to create a superior product. That provides excellent performance while reducing the hardware requirements and the total cost of ownership of our solution.
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Usability
Cloudera
No answers on this topic
Microsoft
SQL Server mostly 'just works' or generates error messages to help you sort out the trouble. You can usually count on the product to get the job done and keep an eye on your potential mistakes. Interaction with other Microsoft products makes operating as a Windows user pretty straight forward. Digging through the multitude of dialogs and wizards can be a pain, but the answer is usually there somewhere.
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Reliability and Availability
Cloudera
No answers on this topic
Microsoft
Its does not have outages.
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Performance
Cloudera
No answers on this topic
Microsoft
SSAS data cubes may some time slow down your Excel reports.
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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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Microsoft
We managed to handle most of our problems by looking into Microsoft's official documentation that has everything explained and almost every function has an example that illustrates in detail how a particular functionality works. Just like PowerShell has the ability to show you an example of how some cmdlet works, that is the case also here, and in my opinion, it is a very good practice and I like it.
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In-Person Training
Cloudera
No answers on this topic
Microsoft
It was good
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Online Training
Cloudera
No answers on this topic
Microsoft
very hands on and detailed training
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Implementation Rating
Cloudera
No answers on this topic
Microsoft
Other than SQL taking quite a bit of time to actually install there are no problems with installation. Even on hardware that has good performance SQL can still take close to an hour to install a typical server with management and reporting services.
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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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Microsoft
[Microsoft] SQL Server has a much better community and professional support and is overall just a more reliable system with Microsoft behind it. I've used MySQL in the past and SQL Server has just become more comfortable for me and is my go to RDBMS.
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Scalability
Cloudera
No answers on this topic
Microsoft
SQL server does handle growing demands of a mid sized company.
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Return on Investment
Cloudera
  • Paid off for demonstration purposes.
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Microsoft
  • Increased accuracy - We went from multiple users having different versions of an Excel spreadsheet to a single source of truth for our reporting.
  • Increased Efficiency - We can now generate reports at any time from a single source rather than multiple users spending their time collating data and generating reports.
  • Improved Security - Enterprise level security on a dedicated server rather than financial files on multiple laptop hard drives.
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