Snowflake AI Data Cloud
SnowflakeExternal reviews
675 reviews
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Innovative Features Elevate Snowflake Experience
What do you like best about the product?
New features of snowflake covering agentic ai, nlp , lifecycle policy
What do you dislike about the product?
Pace of changes are very fast and it is difficult to catch up
What problems is the product solving and how is that benefiting you?
Making analytics faster for our business
Effortless Scalability with Impressive Performance
What do you like best about the product?
I like that Snowflake is very scalable and appreciate the query performance using multi-cluster warehouse. I also found the initial setup to be very easy.
What do you dislike about the product?
The query history profiler could be a little bit faster.
What problems is the product solving and how is that benefiting you?
Snowflake eliminates the need for me to maintain the data, offers great scalability, and enhances query performance with its multi-cluster warehouse.
A Powerful Tool for Seamless Data Integration
What do you like best about the product?
A powerful tool for integrating our company's data world.
What do you dislike about the product?
The dashboard option is somewhat limited for a good user experience
What problems is the product solving and how is that benefiting you?
Our need was to have the information from our different data sources centralized so that we could begin to structure our data governance and more easily enter the world of AI.
Snowflake DWH ( Data warehouse) demystified
What do you like best about the product?
The best part is the UI user interface and the option to integrate different application (Power BI DAXX) and PostgreSQl as a database seamless.
Creating multiple roles and granting privilege to them streamline every aspect of data analysis.
Creating multiple roles and granting privilege to them streamline every aspect of data analysis.
What do you dislike about the product?
Nothing as such, everything at par my expectation.
What problems is the product solving and how is that benefiting you?
Better Insight on the data.
Streamline every DWH ( Data warehouse operation)
Facilitates every ETL ( Extract transform and load) procedure
Streamline every DWH ( Data warehouse operation)
Facilitates every ETL ( Extract transform and load) procedure
Exceptional for Data Apps and ML Pipelines
What do you like best about the product?
Everything. For querying, to build data apps, for ML pipelines, iceberg.
What do you dislike about the product?
Mostly nothing but a feature in worksheets to create folders within folders.
What problems is the product solving and how is that benefiting you?
A great platform to connect to multiple platforms - Databricks/Power BI/Streamlit
Simple SQL Queries Across Data Sources—Straightforward and Effective
What do you like best about the product?
The ability to use simple SQL language to query different data sources that have been dumped into the datalake.
What do you dislike about the product?
Nothing that comes to mind, it's a pretty straight forward tool
What problems is the product solving and how is that benefiting you?
It's allowing us to quickly query and create tables for Data Analytic and Dashboarding consumption.
User Point of view
What do you like best about the product?
The most important part is we can do different types of big data engineering and is very easy to use. We can do the etl process in a single go. The code can be implemented easily in the process and we can connect snowflake support for any help. I mainly use it everyday as most of my work is dependent on it. It supports pyspark as a new feature.
What do you dislike about the product?
The cortex is newly integrated so many updates are yet to come. So still waiting for that.
What problems is the product solving and how is that benefiting you?
We are solving different types of business problems like data integration, data transformation and data security. Even we are performing data masking and integration for the third party business.
The cloud data powerhouse that just scales with you
What do you like best about the product?
What I appreciate most about Snowflake is how many thoughtful, practical features exist beneath the surface that solve real operational problems:
The search optimization service has been transformative for high-cardinality lookups; queries searching by specific IDs or emails that used to take 30+ seconds now return in under a second, without any query rewrites or manual indexing.
I love the account-level result caching. It's not just that my queries benefit from caching; if anyone in the organization runs the same query, everyone benefits. This makes dashboards and recurring reports incredibly snappy without additional engineering effort.
The directory tables on external stages feature eliminates so much custom logic. It automatically tracks file metadata in cloud storage, making incremental data loading trivial without building elaborate file-tracking systems.
Finally, tag-based masking policies have scaled our data governance beautifully. Instead of applying policies table-by-table, we tag columns (PII, sensitive financial data, etc.), and policies auto-apply across hundreds of tables. It's governance that actually keeps up with our data growth.
It has these layers of operational intelligence that reduce busywork and let teams focus on actual analytics rather than infrastructure babysitting.
The search optimization service has been transformative for high-cardinality lookups; queries searching by specific IDs or emails that used to take 30+ seconds now return in under a second, without any query rewrites or manual indexing.
I love the account-level result caching. It's not just that my queries benefit from caching; if anyone in the organization runs the same query, everyone benefits. This makes dashboards and recurring reports incredibly snappy without additional engineering effort.
The directory tables on external stages feature eliminates so much custom logic. It automatically tracks file metadata in cloud storage, making incremental data loading trivial without building elaborate file-tracking systems.
Finally, tag-based masking policies have scaled our data governance beautifully. Instead of applying policies table-by-table, we tag columns (PII, sensitive financial data, etc.), and policies auto-apply across hundreds of tables. It's governance that actually keeps up with our data growth.
It has these layers of operational intelligence that reduce busywork and let teams focus on actual analytics rather than infrastructure babysitting.
What do you dislike about the product?
The small file problem has been a real headache when I'm working with streaming data sources. Snowflake performs best with larger files (100-250MB compressed), but many of my real-world pipelines generate thousands of tiny files. This causes performance degradation and forcing me to build a separate compaction layer; adding complexity to what should be simple ingestion. UDF performance has been disappointing. Python and Java UDFs are noticeably slower than native SQL functions. For complex transformations, I've found it's often more efficient to process data outside Snowflake and load the results; which somewhat undermines the single-platform value I was hoping for. These aren't dealbreakers for me but they do require thoughtful architectural decisions
What problems is the product solving and how is that benefiting you?
Snowflake is primarily solving infrastructure complexity and scalability challenges in my analytics environment, and the benefits are tangible. My team focuses on building analytics rather than maintaining databases, which has freed up significant engineering time. With secure data sharing, I can provide partners and internal teams access to datasets without creating copies, managing APIs, or building custom access layers. This has dramatically reduced the time from "data request" to "data access" from weeks to hours. The core benefit is speed to insight with less operational overhead. I'm spending more time answering business questions and less time managing database infrastructure, which is exactly what I need from a modern data platform.
Powerful Cloud Data Warehouse with Excellent Scalability
What do you like best about the product?
Separation of storage and compute, allowing independent scaling
What do you dislike about the product?
Pricing model can be difficult to predict for budgeting purposes
What problems is the product solving and how is that benefiting you?
Centralizes data from multiple sources into one platform
Simplify Enterprise Data and AI
What do you like best about the product?
Many things I like. Starting with great all round security features build in. Next one will be scalability because users can scale compute and storage resources up or down to meet demands. Next one is ease of use and Management and real multi-cloud and cloud-native. Las willbe ease of integration and ease of implementation.
What do you dislike about the product?
Only a few smaler things. First will be still small community. Growing but small.Next one - migration can be little complex and dificult. Last but not least will be cost complexity -pay-as-you-go model can lead to rapidly escalating costs without monitoring and optimization.
What problems is the product solving and how is that benefiting you?
Great tool for real data warehouse and data science and machine learning platforms.
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