Azure Databricks vs. SAS Enterprise Miner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.7 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…N/A
SAS Enterprise Miner
Score 9.0 out of 10
N/A
SAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.N/A
Pricing
Azure DatabricksSAS Enterprise Miner
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksSAS Enterprise Miner
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
Azure DatabricksSAS Enterprise Miner
Features
Azure DatabricksSAS Enterprise Miner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
8.1
Ratings
3% below category average
SAS Enterprise Miner
8.8
Ratings
5% above category average
Connect to Multiple Data Sources6.20 Ratings8.10 Ratings
Extend Existing Data Sources9.00 Ratings9.00 Ratings
Automatic Data Format Detection9.00 Ratings9.30 Ratings
MDM Integration8.00 Ratings9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.4
Ratings
27% below category average
SAS Enterprise Miner
8.1
Ratings
3% below category average
Visualization5.90 Ratings7.10 Ratings
Interactive Data Analysis6.90 Ratings9.10 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.0
Ratings
2% below category average
SAS Enterprise Miner
8.0
Ratings
2% below category average
Interactive Data Cleaning and Enrichment7.00 Ratings7.80 Ratings
Data Transformations9.00 Ratings8.20 Ratings
Data Encryption9.00 Ratings8.10 Ratings
Built-in Processors7.10 Ratings8.10 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.3
Ratings
1% below category average
SAS Enterprise Miner
8.8
Ratings
5% above category average
Multiple Model Development Languages and Tools8.10 Ratings7.50 Ratings
Automated Machine Learning9.00 Ratings9.80 Ratings
Single platform for multiple model development8.00 Ratings8.50 Ratings
Self-Service Model Delivery8.00 Ratings9.20 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.5
Ratings
0% below category average
SAS Enterprise Miner
7.8
Ratings
9% below category average
Flexible Model Publishing Options8.00 Ratings7.00 Ratings
Security, Governance, and Cost Controls9.00 Ratings8.50 Ratings
Best Alternatives
Azure DatabricksSAS Enterprise Miner
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
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Score 10.0 out of 10
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User Ratings
Azure DatabricksSAS Enterprise Miner
Likelihood to Recommend
9.8
(0 ratings)
9.9
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Azure DatabricksSAS Enterprise Miner
Likelihood to Recommend
Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.
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Text Miner option is very useful to uncover trending themes in very large data sets.
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Pros
  • Consistently great performance when dealing with huge scale data with the help of spark architecture
  • Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
  • Integration with other Azure services is super smooth and robust
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  • Developing and evaluating ensemble models.
  • A very transparent interface.
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Cons
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
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  • One of the major flaws is that the tool is basically an interface to SAS/STAT code. It generates code in the background and runs it. Because of that, some errors are warning might be a little difficult to understand for users who aren't proficient with SAS code.
  • R integration is nice but I would like to see the possibility to integrate even more statistical models different than SAS. That would allow for better performance optimization when really required.
  • The light client is java based and a little heavy on the OS. It would be nice to get a web-based version of the tool instead of the java one.
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Usability
Based on my extensive use of Azure Databricks for the past 3.5 years, it has evolved into a beautiful amalgamation of all the data domains and needs. From a data analyst, to a data engineer, to a data scientist, it jas got them all! Being language agnostic and focused on easy to use UI based control, it is a dream to use for every Data related personnel across all experience levels!
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Support Rating
No answers on this topic
I have contacted SAS twice in the past year and they have been super responsive both times. They solved my problem. I am also registered for an in-person class next month and they called today to tell me that it will be an online-only session. They apologized for the change and registered me for the online version. Super helpful!
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Alternatives Considered
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!" Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse
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For those that are used to the SAS ecosystem, SAS Enterprise Miner is a massive move in the right direction. It makes doing analytics much more enjoyable. It is more user-friendly than Spotfire or Kinesis and seems to produce better results overall. SAS Enterprise Miner seems to be written by analysts for analysts.
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Return on Investment
  • The support team is amazing, they help you at every stage of the projects, from sales to delivery.
  • On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
  • There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
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  • It has a positive ROI to our business, as our sales lead rate increased after we started recommending SAS EM.
  • Our business operation numbers improved after we introduced SAS EM and started using predictive analytics for our customer retention and customer chain prediction.
  • The statistical modelling for the risk controls in our financial department helped to reduce the related residual risk.
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ScreenShots