The platform manages large-scale data processing with impressive smoothness, and its interface becomes quite user-friendly after a short learning curve. Integrating it with other Azure services is straightforward, which significantly speeds up the implementation process. I appreciate the variety of features available for ETL and analytics, allowing us to use it regularly for a range of different workloads. When problems arise, the documentation and support resources are generally sufficient to help resolve issues quickly. Review collected by and hosted on G2.com.

Sometimes, the platform can seem a little complicated for newcomers, and it may take some time for clusters to start up. Managing costs is not always straightforward, and certain features require additional configuration. While support is generally helpful, response times can occasionally be slow. Review collected by and hosted on G2.com.

I use Azure Databricks for data processing, ETL, and analytics on large datasets. I like its scalability and easy collaboration in one unified platform. I appreciate its fast performance, seamless integration with other Azure services, and user-friendly notebooks. The initial setup was very easy, especially with the guidelines provided on the website. Review collected by and hosted on G2.com.

Cost management, fast cluster startup times, and a more intuitive UI for beginners. Review collected by and hosted on G2.com.

It has all the necessary tools and integrations for modern data transformation and AI Review collected by and hosted on G2.com.

It’s starting to look more like provider lock-in than it was before, even with all the new features. Review collected by and hosted on G2.com.

Azure Databricks is a great platform that offers a robust environment for querying large datasets through Apache spark. I especially appreciate how effortless it integrate with Azure storage account and notebooks making big data analytics efficient and scalable. Databricks built in version control combined with smooth GitHub integration makes collaboration and code management easy. It's one of the best setup I have worked with. Review collected by and hosted on G2.com.

The setup and cluster configuration is sometimes confusing and time consuming. Review collected by and hosted on G2.com.

Azure Databricks gave us a unified platform to run our Spark workloads on top of Azure Data Lake Storage Gen2. We could migrate our on-prem Hadoop data and pipelines into the cloud with minimal re-engineering. Its managed clusters, autoscaling, notebooks, and tight integration with Azure services (ADLS, Key Vault, ADF) saved a lot of infrastructure and maintenance effort. PySpark notebooks made development and debugging much easier compared to our previous setup. Review collected by and hosted on G2.com.

Cluster start-up times can still be slow for quick tests. Pricing is consumption-based and can become expensive if clusters are left running or poorly sized. Some enterprise features (e.g., fine-grained security, monitoring) require extra configuration. And compared to on-prem Hadoop, there’s a learning curve for workspace permissions and DevOps automation. Review collected by and hosted on G2.com.

Really like the Jupyter notebook system & Unity Catalog lineage Review collected by and hosted on G2.com.

Genie - Ai Assistant can have better accuracy Review collected by and hosted on G2.com.

The best about azure databricks is very easy to integrate to any cloud, rdbms or any other software services. It is very easy to use and to implement. The frequency of use is so high in my project. There are many number of features in azure databricks. Also it is easy to integrate with gitlab, hive, rdbms etc for any ETC processes. Review collected by and hosted on G2.com.

There is nothing that i dislike about Azure databricks as of 4 yr experience. Review collected by and hosted on G2.com.

Easy to write programs a d executes all scripts , user friendly application Review collected by and hosted on G2.com.

Everything ok it was updating day by day making every user free and stress less tool Review collected by and hosted on G2.com.

In Azure Databricks, you can have multiple layers of Security in those tables as well as there use interface is far more better that Teradata Review collected by and hosted on G2.com.

In Azure Databricks Likely the Cost is the of the factory which poeple though as it can be one of factor Review collected by and hosted on G2.com.

This is the best implementation of Databricks I could have hoped for. Review collected by and hosted on G2.com.

Occasionally, when I put my laptop to sleep, my Azure Databricks sessions do not reconnect quickly. Review collected by and hosted on G2.com.