Powerful ETL and Data Pipeline Platform
February 25, 2026

Powerful ETL and Data Pipeline Platform

Yuvaraj Mamidi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Databricks Data Intelligence Platform

In our organization, we use the Databricks Data Intelligence Platform as the main platform for building and managing data products. I use Databricks for creating notebooks for data transformation and creating data products and redirect them to project repositories and jobs scheduling using Databricks Workflows. And create business data products as delta tables in catalog (unity). It helps in solving big data manipulation/handling and jobs management.

Pros

  • Large Data Processing:- It handles large volumes of data efficiently using Spark for transforming data fulfilling business purposes and handles the jobs smoothly using clusters, workers.
  • Notebook-Oriented Development:- Databricks notebooks make development easy and flexible of data transformations using SQL, Python and R. Helps in testing the notebooks before deploying
  • Data Governance:- Provides data governance providing unity catalog for managing permissions security.

Cons

  • Job Monitoring and Alerts:- A better visual dashboard for pipeline tracking dependencies and failures would improve visibility.
  • Serverless limitation:- The sql variable set up using 'set' in notebooks is limited in serverless and can't be initialize, could be improved
  • Reduced Manual Effort:- Automated workflows and schedulings reduced manual monitoring.
  • Faster Transform Developments:- With the integrated assistant support bug resolvent and code development became faster
  • Faster Data Availability:- Optimized and Reduced processing time for daily ETL runs.
The platform is very user-friendly for data engineering tasks such as ETL development, notebook-based transformations, job scheduling, and pipeline management. Cluster management and job scheduling are also straightforward, which makes daily operations smooth.
  • Snowflake
  • SnapLogic

Do you think Databricks Data Intelligence Platform delivers good value for the price?

Yes

Are you happy with Databricks Data Intelligence Platform's feature set?

Yes

Did Databricks Data Intelligence Platform live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Databricks Data Intelligence Platform go as expected?

Yes

Would you buy Databricks Data Intelligence Platform again?

Yes

Based on my experience, Databricks Platform is well suited for huge-scale data processing and building end-to-end data pipelines. It works very well for developing complete data products using bronze, silver, and gold architecture.Well suited for faster development with the help of integrated Ai assistant. The notebook environment allows us to quickly develop, test and deploy.

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