I think this is related to our internal business, as we have a data warehouse and data lakes that we use Azure Databricks for. We work for Bosch, and we have the solution internally. We purchase everything through a big IT organization.
Senior Business Intelligence Consultant at Stellar Consulting Group
MSP
Top 20
Mar 3, 2026
The primary use cases for me are the reportings I have to do, so I need to ingest data from the file and create reports. I do not utilize it for real-time data processing. I have not integrated Azure Databricks with other Azure services, just Excel mainly; I put data in Excel, load it, ingest it in Azure Databricks and then use it.
I have constructed the Lakehouse on Azure Databricks for ETL, machine learning, deep learning, and all data science purposes. Azure Databricks is a very powerful tool when it comes to handling all these applications, and the Spark framework stands out significantly. I utilize Azure Databricks for real-time data processing. Regarding the collaborative features of Azure Databricks, they are working on it regularly. At this point in time, it is collaborative, and spinning up your own cluster is also easier. Comparatively, Snowflake is doing a little bit better based on my experience. I cannot judge on other people's experiences, but I feel Snowflake does a little bit better compared to Azure Databricks at this point in time. However, Azure Databricks itself has good enough collaboration. I have integrated Azure Databricks with Power BI. With integration of Azure Databricks, we use Power BI, Azure ML Studio, and Azure Data Factory. There are multiple other tools which we integrate as well. Additionally, with external tools outside Microsoft, such as Tableau, you can integrate. There are quite a lot of things you can do on top of Azure Databricks. We use Azure Databricks mostly for ETL purposes. We use programming languages such as both SQL and Python. Scala is also possible, but I have never experienced Scala at this point in time. This is what its power is; it is mostly a code-based platform. There is something called agents, and also you have a capability recently developed called Agent Bricks, which is the GenAI capability that they are bringing up.
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...
I think this is related to our internal business, as we have a data warehouse and data lakes that we use Azure Databricks for. We work for Bosch, and we have the solution internally. We purchase everything through a big IT organization.
The primary use cases for me are the reportings I have to do, so I need to ingest data from the file and create reports. I do not utilize it for real-time data processing. I have not integrated Azure Databricks with other Azure services, just Excel mainly; I put data in Excel, load it, ingest it in Azure Databricks and then use it.
I have constructed the Lakehouse on Azure Databricks for ETL, machine learning, deep learning, and all data science purposes. Azure Databricks is a very powerful tool when it comes to handling all these applications, and the Spark framework stands out significantly. I utilize Azure Databricks for real-time data processing. Regarding the collaborative features of Azure Databricks, they are working on it regularly. At this point in time, it is collaborative, and spinning up your own cluster is also easier. Comparatively, Snowflake is doing a little bit better based on my experience. I cannot judge on other people's experiences, but I feel Snowflake does a little bit better compared to Azure Databricks at this point in time. However, Azure Databricks itself has good enough collaboration. I have integrated Azure Databricks with Power BI. With integration of Azure Databricks, we use Power BI, Azure ML Studio, and Azure Data Factory. There are multiple other tools which we integrate as well. Additionally, with external tools outside Microsoft, such as Tableau, you can integrate. There are quite a lot of things you can do on top of Azure Databricks. We use Azure Databricks mostly for ETL purposes. We use programming languages such as both SQL and Python. Scala is also possible, but I have never experienced Scala at this point in time. This is what its power is; it is mostly a code-based platform. There is something called agents, and also you have a capability recently developed called Agent Bricks, which is the GenAI capability that they are bringing up.