G2

Supriya M.

Data Engineer

Mid-Market (51-1000 emp.)

Originally submitted 3/31/2026

"A Reliable Workhorse for Data Engineering and Analytics"

5/5

What do you like best about Databricks?

The unified platform approach is what I appreciate most. Having notebooks, data engineering pipelines, ML workflows, and SQL analytics all in one place saves a ton of time instead of juggling multiple tools. The collaborative notebooks make it easy to share work with teammates, and the cluster management has gotten a lot smoother over time. Delta Lake integration is also a huge plus for keeping our data reliable and consistent. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

The cost can get out of hand pretty quickly if you're not careful with cluster sizing and uptime. It's not always obvious how to optimize spending, and the pricing model feels complex. The learning curve for new team members is also steeper than I'd like, especially for people who aren't already familiar with Spark. Sometimes the UI can feel sluggish when working with larger notebooks, and debugging job failures could be more straightforward. Review collected by and hosted on G2.com.

What problems is Databricks solving and how is that benefiting you?

Databricks helps me resolve complex ETL pipeline failures and persistent data quality issues in supply chain analytics by unifying batch and streaming processing from SAP systems with Delta Live Tables. It also removes a lot of the infrastructure management headaches thanks to auto-scaling clusters, so I can stay focused on writing code for multi-terabyte workloads instead of constantly worrying about cluster sizing.

For my manufacturing data projects, Databricks accelerates development cycles from weeks to days via collaborative notebooks and DLT pipelines, enabling faster Power BI reporting and stakeholder decisions. Unity Catalog centralizes governance across Azure and SAP sources, preventing schema drift that plagued prior Hive-based lakes. Review collected by and hosted on G2.com.

Response from Janelle Glover of Databricks

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Thank you for highlighting the benefits of the unified platform approach and the time-saving features of Databricks. We understand your concerns about cost management and the learning curve, and we're continuously working to simplify our pricing model and improve the onboarding experience for new team members. It's great to hear how Databricks is helping you resolve complex ETL pipeline failures and accelerating development cycles for your manufacturing data projects.