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Azure Databricks

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Azure Databricks
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Azure Databricks
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
Community Pulse
Azure Databricks
Considered Both Products
Azure Databricks
Verified User
Employee
Chose Azure Databricks
When compared with Snowflake, Azure Databricks have an edge over the integration with ML Flow. ETL in Azure Databricks allows high processing of data compared to Snowflake. Data sharing is better with Snowflake. When compared with Datasphere, integration of Databricks with …
Verified User
Employee
Chose Azure Databricks
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 …
Verified User
Consultant
Chose Azure Databricks
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 …
Features
Azure Databricks
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
7.4
4 Ratings
12% below category average
Connect to Multiple Data Sources6.14 Ratings
Extend Existing Data Sources7.94 Ratings
Automatic Data Format Detection7.54 Ratings
MDM Integration8.03 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.7
4 Ratings
23% below category average
Visualization6.04 Ratings
Interactive Data Analysis7.53 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.6
4 Ratings
5% above category average
Interactive Data Cleaning and Enrichment8.14 Ratings
Data Transformations9.04 Ratings
Data Encryption9.44 Ratings
Built-in Processors7.84 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.0
4 Ratings
5% below category average
Multiple Model Development Languages and Tools6.54 Ratings
Automated Machine Learning8.64 Ratings
Single platform for multiple model development8.44 Ratings
Self-Service Model Delivery8.44 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.3
4 Ratings
2% below category average
Flexible Model Publishing Options8.04 Ratings
Security, Governance, and Cost Controls8.64 Ratings
Best Alternatives
Azure Databricks
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.6 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternatives
User Ratings
Azure Databricks
Likelihood to Recommend
9.7
(3 ratings)
Usability
8.0
(1 ratings)
User Testimonials
Azure Databricks
Likelihood to Recommend
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.
Verified User
Anonymous
Read full review
Pros
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.
Verified User
Anonymous
Read full review
Cons
Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Verified User
Anonymous
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Usability
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
Verified User
Anonymous
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Alternatives Considered
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.
Verified User
Anonymous
Read full review
Return on Investment
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
Verified User
Anonymous
Read full review
ScreenShots