G2

Shubhangi J.

Associate IT

Mid-Market (51-1000 emp.)

10/28/2026

"Databricks Unifies Data Engineering, Analytics, and ML Seamlessly"

5/5

What do you like best about Databricks?

What I like best about Databricks is its ability to bring data engineering, data analytics, and machine learning together in one platform. It makes it easier to process large datasets, build data pipelines, and collaborate using notebooks and SQL. I also like its integration with cloud platforms and its support for scalable data processing, which helps simplify complex data workflows. Review collected by and hosted on G2.com.

What do you dislike about Databricks?

One thing I dislike about Databricks is that it can be challenging for beginners to understand because of its wide range of features and configuration options. Cluster setup and compute costs can also be difficult to manage if resources are not monitored properly. A simpler onboarding experience, clearer cost tracking, and more beginner-friendly guidance would make the platform easier to use. Review collected by and hosted on G2.com.

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

Databricks solves the challenge of processing and managing large volumes of data across different sources. It brings data engineering, analytics, and machine learning into one platform, making it easier to build data pipelines, transform data, and prepare it for analysis. This benefits me by helping me practice real-world data engineering workflows, improve my understanding of cloud-based data processing, and work more efficiently with large datasets. Review collected by and hosted on G2.com.

Response from Janelle Glover of Databricks

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Thank you for sharing your thoughtful feedback. We’re glad Databricks helps you bring data engineering, analytics, and machine learning together to work with large datasets. We also appreciate your suggestions around onboarding, cluster setup, and cost visibility as we continue improving the experience.