G2

Dinesh B.

Senior Business Intelligence Developer

Enterprise (> 1000 emp.)

11/5/2026

"Powerful Data Platform for Modern Analytics and Data Engineering"

4.5/5

What do you like best about Snowflake?

Computing speed can be easily scalable up and down based on requirement. No need to worry about performance as it will be taken care of by Snowflake itself; high-volume data access via SQLs are very fast. More AI features added with semantic view, snow-park and agents. Review collected by and hosted on G2.com.

What do you dislike about Snowflake?

Slightly expensive compared to their peers. Need to have explicit control to share Agentic AI via snowPark Review collected by and hosted on G2.com.

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

Snowflake helps us address challenges around enterprise data integration, scalability, performance, and data accessibility. We bring data from multiple source systems into a centralized data platform and use Snowflake to build standardized raw, cleansed, harmonized, and semantic data layers for analytics and reporting. One of the key benefits is the separation of compute and storage. Different workloads can run independently using separate warehouses, which allows us to scale based on demand while minimizing the impact on other workloads. This is especially useful for large-volume data ingestion, transformations, historical processing, and concurrent analytical queries. Review collected by and hosted on G2.com.