When I open Azure Databricks, my day-to-day workflow begins with validating the proof of concept framework, choosing the right service for the ingestion pattern, and then building or running notebooks for raw, silver, and gold layer transformations. I involve myself in building the data architecture, coordinating with my senior tech leads or COE groups if I have any questions to ensure we understand the required solutions, and after presenting the architecture to the customer, we progress on development and testing in the deliverables. Although Delta Live Tables and streaming services are features I discussed and planned to use during implementation, I have utilized them very minimally for my applications. My advice for someone considering Azure Databricks with a similar workflow is to ensure their solution can operate independently of cloud services, making it possible to work across Azure, GCP, or AWS, and to implement a plug-in/plug-out feature architecture that does not disrupt the overall framework. I would rate this product a seven out of ten.
Senior Business Intelligence Consultant at Stellar Consulting Group
MSP
Top 20
Mar 3, 2026
I do not use the multi-language support in Azure Databricks. I do not use any metrics as such because these are small files; I am not loading millions of records, it has just some thousands of records. The pricing of Azure Databricks is handled by the infrastructure team, so I am not involved in that; I am mainly a developer. If I have to use a warehouse which is more powerful, I need to make a request because that costs, otherwise I just do my work. I think the interface is intuitive enough. They provide online training; online training is available. I have given the product a rating of six out of ten just because I do not use all of the functionalities, and I see some direction for improvement as well; also, every product has something to improve, and I have not used many features in this product.
Azure Databricks is an advanced analytics platform combining the best of Microsoft's Azure and Apache Spark. It provides a powerful solution for big data processing, machine learning, and collaborative data projects, designed to help organizations unlock insights and foster innovation.Azure Databricks integrates seamlessly with Azure services, offering end-to-end data solutions for enterprises. Its collaborative environment supports data engineers and scientists, facilitating faster data...
When I open Azure Databricks, my day-to-day workflow begins with validating the proof of concept framework, choosing the right service for the ingestion pattern, and then building or running notebooks for raw, silver, and gold layer transformations. I involve myself in building the data architecture, coordinating with my senior tech leads or COE groups if I have any questions to ensure we understand the required solutions, and after presenting the architecture to the customer, we progress on development and testing in the deliverables. Although Delta Live Tables and streaming services are features I discussed and planned to use during implementation, I have utilized them very minimally for my applications. My advice for someone considering Azure Databricks with a similar workflow is to ensure their solution can operate independently of cloud services, making it possible to work across Azure, GCP, or AWS, and to implement a plug-in/plug-out feature architecture that does not disrupt the overall framework. I would rate this product a seven out of ten.
I gave this product a rating of eight out of ten.
I do not use the multi-language support in Azure Databricks. I do not use any metrics as such because these are small files; I am not loading millions of records, it has just some thousands of records. The pricing of Azure Databricks is handled by the infrastructure team, so I am not involved in that; I am mainly a developer. If I have to use a warehouse which is more powerful, I need to make a request because that costs, otherwise I just do my work. I think the interface is intuitive enough. They provide online training; online training is available. I have given the product a rating of six out of ten just because I do not use all of the functionalities, and I see some direction for improvement as well; also, every product has something to improve, and I have not used many features in this product.
I think Azure Databricks is a very good product. I would rate it a nine out of ten.