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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 inbuilt infrastructure for executing queries without manual management of data volume.
Advanced features like time travel, zero copy cloning, and scalability are highly beneficial for business use.
Snowflake Analytics is known for high stability and performance, providing seamless data analytics capabilities.
The platform supports complex workloads with automatic optimization, enhancing the efficiency of business intelligence.
Its cloud-based nature allows easy deployment, automatic scaling, and efficient data warehousing for machine learning.

CONS

Integration with machine learning and AI needs improvement, including the connector for Spark and overall usability.
Moving data from legacy systems to Snowflake poses challenges, particularly with incompatible processors.
The high cost is a concern, especially with extensive computations, as pricing visibility can be complex.
On-premises support is limited, requiring reliance on external services for deployment.
Sophisticated features like master data management and the handling of large datasets in reporting tools need enhancements.
 

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: November 2024.
824,053 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: November 2024.
824,053 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.