Azure Databricks

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Azure Databricks	Score 8.6 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 Fee

No setup fee

Additional Details

—

More Pricing Information

Community Pulse
	Azure Databricks
Considered Both Products	Azure Databricks 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 … Incentivized Helpful?

Features

Azure Databricks

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	Azure Databricks 8.2 2 Ratings 2% below category average
Connect to Multiple Data Sources	6.62 Ratings
Extend Existing Data Sources	9.02 Ratings
Automatic Data Format Detection	9.22 Ratings
MDM Integration	8.01 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	Azure Databricks 6.1 2 Ratings 31% below category average
Visualization	5.72 Ratings
Interactive Data Analysis	6.52 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	Azure Databricks 8.1 2 Ratings 0% below category average
Interactive Data Cleaning and Enrichment	7.02 Ratings
Data Transformations	8.82 Ratings
Data Encryption	9.22 Ratings
Built-in Processors	7.32 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	Azure Databricks 8.4 2 Ratings 0% below category average
Multiple Model Development Languages and Tools	8.32 Ratings
Automated Machine Learning	8.82 Ratings
Single platform for multiple model development	8.22 Ratings
Self-Service Model Delivery	8.22 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	Azure Databricks 8.6 2 Ratings 1% above category average
Flexible Model Publishing Options	8.02 Ratings
Security, Governance, and Cost Controls	9.22 Ratings

Best Alternatives
	Azure Databricks
Small Businesses	Jupyter Notebook Score 8.5 out of 10
Medium-sized Companies	Posit Score 10.0 out of 10
Enterprises	Posit Score 10.0 out of 10
All Alternatives	View all alternatives

User Ratings
	Azure Databricks
Likelihood to Recommend	9.5 (3 ratings)
Usability	8.0 (1 ratings)

User Testimonials
	Azure Databricks
Likelihood to Recommend	Microsoft Suppose you have multiple data sources and you want to bring the data into one place, transform it and make it into a data model. Azure Databricks is a perfectly suited solution for this. Leverage spark JDBC or any external cloud based tool (ADG, AWS Glue) to bring the data into a cloud storage. From there, Azure Databricks can handle everything. The data can be ingested by Azure Databricks into a 3 Layer architecture based on the delta lake tables. The first layer, raw layer, has the raw as is data from source. The enrich layer, acts as the cleaning and filtering layer to clean the data at an individual table level. The gold layer, is the final layer responsible for a data model. This acts as the serving layer for BI For BI needs, if you need simple dashboards, you can leverage Azure Databricks BI to create them with a simple click! For complex dashboards, just like any sql db, you can hook it with a simple JDBC string to any external BI tool. Incentivized Verified User Anonymous Read full review
Pros	Microsoft SQL Data management Data access Incentivized Verified User Anonymous Read full review
Cons	Microsoft Their pipeline workflow orchestration is pretty primitive. Lacks some common features Workspace UI and navigation requires steep learning curve Personally, I am not fond of their autosave feature. Its dangerous for production level notebooks scripts Incentivized Pranshu Gupta Associate Data Engineer Read full review
Usability	Microsoft 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! Incentivized Verified User Anonymous Read full review
Alternatives Considered	Microsoft 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 Incentivized Verified User Anonymous Read full review
Return on Investment	Microsoft Helped reduce time for collecting data Reduced cost in maintaining multiple data sources Access for multiple users and management of users/data in a single platform Incentivized Verified User Anonymous Read full review
ScreenShots