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Snowflake Analytics pros and cons

4.2 out of 5
Badge Ranked 1

Pros & Cons summary

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Prominent pros & cons

PROS

Snowflake Analytics offers an inbuilt infrastructure that automatically manages query execution without needing manual intervention based on data volume.
Advanced features such as time travel, zero-copy cloning, scalability, and data sharing enhance user convenience and business operations.
Its cloud-based architecture facilitates seamless deployment, maintenance-free operation, and efficient handling of large datasets.
The platform's auto-scaling and decoupling of computation from storage provide high scalability and flexibility for various data analytics tasks.
Snowflake Analytics excels in providing robust performance, with capabilities like predictive analytics and streaming data integration, ensuring efficient data management and analysis.

CONS

End-to-end execution of jobs isn't possible with Snowflake, necessitating customization.
Moving data from legacy systems to Snowflake is challenging, with some processor incompatibilities.
High costs arise with extensive computations on Snowflake, and its pricing visibility is complex.
Integration with machine learning tools and AI needs improvement to enhance usability.
On-premises support is limited, requiring reliance on external services for deployment.
 

Snowflake Analytics Pros review quotes

KR
Mar 6, 2024
Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning.
Javed Chowdhary - PeerSpot reviewer
Feb 14, 2024
Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company.
AS
Feb 28, 2024
Scalability-wise, I rate the solution a ten out of ten.
Learn what your peers think about Snowflake Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
839,422 professionals have used our research since 2012.
Manoj Kambli - PeerSpot reviewer
Jun 27, 2024
Snowflake Analytics' predictive analytics elements, which incorporate AI, are good and easy to integrate.
Avijit Bhattacharya - PeerSpot reviewer
Mar 7, 2024
The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for dashboarding purposes.
Vimalathithan M - PeerSpot reviewer
Apr 5, 2024
One of the key advancements in Snowflake Analytics is data sharing.
MandarGarge - PeerSpot reviewer
Jun 29, 2022
Very good flexibility and it offers computation completely decoupled from the storage.
MR
Oct 6, 2023
Time Travel and Snowpipe are good features.
reviewer2540286 - PeerSpot reviewer
Sep 3, 2024
It's cloud-based technology, so users can spin it up a lot faster
AnujJain - PeerSpot reviewer
May 31, 2022
The performance has been good.
 

Snowflake Analytics Cons review quotes

KR
Mar 6, 2024
Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks.
Javed Chowdhary - PeerSpot reviewer
Feb 14, 2024
Snowflake's Snowpark is an area of concern where improvements are required.
AS
Feb 28, 2024
The product's cost is an area of concern where improvements are required.
Learn what your peers think about Snowflake Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
839,422 professionals have used our research since 2012.
Manoj Kambli - PeerSpot reviewer
Jun 27, 2024
The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging.
Avijit Bhattacharya - PeerSpot reviewer
Mar 7, 2024
The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms.
Vimalathithan M - PeerSpot reviewer
Apr 5, 2024
Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others.
MandarGarge - PeerSpot reviewer
Jun 29, 2022
If you have a lot of computations, it becomes very costly.
MR
Oct 6, 2023
The technical support is not very good.
reviewer2540286 - PeerSpot reviewer
Sep 3, 2024
Snowflake Analytics should probably have more built-in tools for master data management.
AnujJain - PeerSpot reviewer
May 31, 2022
We haven't seen any areas that are lacking.