Snowflake AI Data Cloud
SnowflakeExternal reviews
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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.
Powerful and scalable data warehouse solution
What do you like best about the product?
What I like most about Snowflake is how easily it handles large volumes of data with great performance. The ability to separate storage and compute is a huge advantage, as it allows us to scale resources up or down based on demand. It integrates smoothly with BI tools and supports secure data sharing, which makes collaboration across teams much easier. Overall, it’s a very reliable and flexible data platform.
What do you dislike about the product?
The main drawback is that costs can increase quickly if workloads are not monitored closely. The pricing model requires careful management to avoid surprises. Additionally, for new users, some of the advanced features require a learning curve. However, once you get familiar with the platform, it works very effectively.
What problems is the product solving and how is that benefiting you?
As fraud analysts, we need to process very large datasets multiple times a day to detect anomalies and identify suspicious activity. Snowflake makes this possible by providing fast, reliable, and scalable data processing without slowing down. The ability to run complex queries on massive amounts of data in near real-time has improved the speed and accuracy of our investigations. It allows us to focus on insights rather than infrastructure, which is a big advantage in fraud detection.
Powerful, flexible cloud data platform
What do you like best about the product?
I like Snowflake for its ease of use—the interface is intuitive, and writing queries is straightforward. Ease of implementation is great too, as connecting to BI tools and setting up warehouses is quick. The platform offers a large number of features, including time travel, cloning, and data sharing. Ease of integration with ETL tools and other cloud services makes workflows seamless. It’s very reliable, and customer support has been responsive when needed. Because of its speed and scalability, I use it frequently for daily analytics tasks.
What do you dislike about the product?
The main challenge is cost management, as frequent queries or large warehouses can get expensive if not optimized. Some advanced features take time to learn, and initial setup for certain integrations can be tricky. While customer support is helpful, detailed guidance for complex scenarios could be improved. Overall, it works well, but careful monitoring is needed to avoid overspending
What problems is the product solving and how is that benefiting you?
Snowflake centralizes large datasets from multiple sources, eliminating data silos and making querying fast and efficient. It solves issues with scalability, storage, and performance, allowing me to run analytics and reporting without worrying about infrastructure. This benefits me by saving time, improving accuracy, and enabling quick, data-driven decisions
Highly Compatible database
What do you like best about the product?
The data safety, comparable with many tools easier connectivity
What do you dislike about the product?
The UI is really bad. You can pin a query window. You have to switch to another tab
What problems is the product solving and how is that benefiting you?
Cloud Data warehouse allows you to store structured and unstructured data used for reporting purposes
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