Apache Mahout vs. Azure Databricks

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Mahout
Score 0.0 out of 10
N/A
Apache Mahout is a distributed linear algebra framework designed to let mathematicians, statisticians, and data scientists implement their own algorithms.N/A
Azure Databricks
Score 8.5 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
Pricing
Apache MahoutAzure Databricks
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache MahoutAzure Databricks
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
Features
Apache MahoutAzure Databricks
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Apache Mahout
-
Ratings
Azure Databricks
7.4
4 Ratings
12% below category average
Connect to Multiple Data Sources00 Ratings6.14 Ratings
Extend Existing Data Sources00 Ratings7.94 Ratings
Automatic Data Format Detection00 Ratings7.54 Ratings
MDM Integration00 Ratings8.03 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Apache Mahout
-
Ratings
Azure Databricks
6.7
4 Ratings
23% below category average
Visualization00 Ratings6.04 Ratings
Interactive Data Analysis00 Ratings7.53 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Apache Mahout
-
Ratings
Azure Databricks
8.6
4 Ratings
5% above category average
Interactive Data Cleaning and Enrichment00 Ratings8.14 Ratings
Data Transformations00 Ratings9.04 Ratings
Data Encryption00 Ratings9.44 Ratings
Built-in Processors00 Ratings7.84 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Apache Mahout
-
Ratings
Azure Databricks
8.0
4 Ratings
5% below category average
Multiple Model Development Languages and Tools00 Ratings6.64 Ratings
Automated Machine Learning00 Ratings8.64 Ratings
Single platform for multiple model development00 Ratings8.44 Ratings
Self-Service Model Delivery00 Ratings8.44 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Apache Mahout
-
Ratings
Azure Databricks
8.3
4 Ratings
2% below category average
Flexible Model Publishing Options00 Ratings8.04 Ratings
Security, Governance, and Cost Controls00 Ratings8.74 Ratings
Best Alternatives
Apache MahoutAzure Databricks
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.6 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
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache MahoutAzure Databricks
Likelihood to Recommend
-
(0 ratings)
9.7
(3 ratings)
Usability
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Apache MahoutAzure Databricks
Likelihood to Recommend
Apache
No answers on this topic
Microsoft
Centralised notebooks are out directly into production. This can lead to poorly engineered code. It is very good for fast queries and our data team are always able to provide what we ask for. It is a big cost to our business so it is important it runs efficiently and returns on our investment.
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Pros
Apache
No answers on this topic
Microsoft
  • Data Processing and Transformations based on Spark
  • Delta Lakehouse when clubbed with an external cloud storage
  • Governance using Unity Catalog to unify IAM
  • Delta Live Tables is a product, which although relatively newer, has a great potential with the visuals of a pipeline.
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Cons
Apache
No answers on this topic
Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Read full review
Usability
Apache
No answers on this topic
Microsoft
The developers are able to switch between Python and SQL in the Notebook which allows the collaboration of SQL analyst and Data scientist. The integration of Mosaic AI allows users to write complex codes in natural languages. Unity catalog has centralized the security and governance features and simplified the process of maintaining it
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Alternatives Considered
Apache
No answers on this topic
Microsoft
I have found Azure Databricks to be much better than Snowflake for handling bigger, diverse data types. Snowflake is much simpler and better for smaller warehousing. The real time processing is much better in Azure Databricks and we have much more language options. Snowflake is more expensive but simpler to use. Both are great for different needs.
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Return on Investment
Apache
No answers on this topic
Microsoft
  • 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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ScreenShots