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…
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Pricing
Azure Databricks
Editions & Modules
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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
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More Pricing Information
Community Pulse
Azure Databricks
Considered Both Products
Microsoft
Verified User
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 …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Key User Insights
Would buy again
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Delivers good value for the price
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Happy with the feature set
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Lived up to sales and marketing promises
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Implementation went as expected
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Features
Azure Databricks
Platform Connectivity
Comparison of Platform Connectivity features of Azure Databricks
Feature
Azure Databricks
8.1
2 Ratings
3% below category average
Connect to Multiple Data Sources
6.22 Ratings
Extend Existing Data Sources
9.02 Ratings
Automatic Data Format Detection
9.02 Ratings
MDM Integration
8.01 Ratings
Data Exploration
Comparison of Data Exploration features of Azure Databricks
Feature
Azure Databricks
6.4
2 Ratings
27% below category average
Visualization
5.92 Ratings
Interactive Data Analysis
6.92 Ratings
Data Preparation
Comparison of Data Preparation features of Azure Databricks
Feature
Azure Databricks
8.0
2 Ratings
2% below category average
Interactive Data Cleaning and Enrichment
7.02 Ratings
Data Transformations
9.02 Ratings
Data Encryption
9.02 Ratings
Built-in Processors
7.12 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Azure Databricks
Feature
Azure Databricks
8.3
2 Ratings
1% below category average
Multiple Model Development Languages and Tools
8.12 Ratings
Automated Machine Learning
9.02 Ratings
Single platform for multiple model development
8.02 Ratings
Self-Service Model Delivery
8.02 Ratings
Model Deployment
Comparison of Model Deployment features of Azure Databricks
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
