Snowflake AI Data Cloud
SnowflakeExternal reviews
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Good decision for cloud data warehousing
What do you like best about the product?
Depending on the size of your warehouse, we can handle a large amount of data without performance issues. This would be very difficult with an on-prem server.Further, the separation of storage and compute helps with resource management.Additionally, we're a Tableau shop, and Tableau has a built-in connector with Snowflake that is reliable and efficient.
What do you dislike about the product?
Cost management can be challenging. This is where the size of the warehouse comes into play (see What do you like best about Snowflake?). If you optimize the size of your warehouse small, costs will be smaller. Along these lines, it's best to understand credit usage early to make sure you're managing effectively. But overall, few negatives that can't be managed with some forethought.
What problems is the product solving and how is that benefiting you?
Our infrastructure is quite complex, but since Snowflake is fully managed, we no longer have to worry about provisioning or ongoing maintenance. This allows our data architecture team to focus on more valuable work, while our data analytics team benefits from uninterrupted access, as maintenance issues no longer cause downtime. Scalability is another key advantage—Snowflake efficiently processes large volumes of data without requiring our architecture team to oversee the infrastructure. This not only saves time but also enables quicker queries, even as our total data volume increases. Ultimately, this leads to faster project scaling, quicker insights, and allows us to devote less effort to managing our data strategy.
Efficient, scalable, and reliable data warehouse for modern analytics
What do you like best about the product?
Snowflake’s ability to handle large volumes of structured and semi-structured data seamlessly is its biggest strength. The separation of compute and storage lets us scale resources independently, which improves performance during heavy reporting workloads. It also integrates smoothly with BI tools like Power BI and Tableau, making it easy to deliver insights quickly without manual data preparation.
What do you dislike about the product?
Although Snowflake is highly efficient, query costs can add up quickly if the virtual warehouses aren’t managed properly. Also, real-time data streaming capabilities are still somewhat limited compared to other cloud-native services. A more intuitive cost-monitoring dashboard and tighter integration with streaming platforms like Kafka would make it even more powerful.
What problems is the product solving and how is that benefiting you?
Snowflake has helped centralize large data sets from multiple sources—HR, finance, and donor systems—into one scalable warehouse. This unified platform allows us to run complex SQL queries, automate reporting, and generate real-time dashboards in Power BI. It also simplified data governance and eliminated storage constraints we had with traditional on-prem databases. Overall, it enables faster data-driven decision-making and supports analytics initiatives without extensive infrastructure management.
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
Snowflake makes data work easy
What do you like best about the product?
I use snowflake almost everyday to work with big datasets cleaning, querying, and analyzing. What i really like is how easily it connects with tools like tableau and looker for reporting, and even google sheets when someone just. The interface is clean and and easy to use, and bring able to run queries right in the browser makes my work faster. Getting started with it was very straightforward too.
What do you dislike about the product?
Honestly, the toughest part with snowflake is keeping costs under control. If a query isn’t optimised just exploring data can get expensive fast since uo’re charged gets processed. Snowflake is that it feels a bit easier to mange costs you only pay for the compute you actually use, and it can auto suspend when not in use. That makes it less stressful to dig into data without constantly worrying about the bill.
What problems is the product solving and how is that benefiting you?
Snowflake makes working with data so much easier. I don’t have to stress about servers or performance it just scales up when i need it. Even with huge datasets, queries run sper fas, and the best part is how easy it is to share data with others. Instead of wasting time on setup and tuning, i can actually focus on the analysis and insights.
Cloud Data Warehouse That Really Scales!
What do you like best about the product?
I like how Snowflake makes managing big data so much easier. The queries run fast even with huge datasets. I can spin up compute resources as needed without waiting for IT. The interface is clean and easy to use and the way it separates storage and compute is really helpful for controlling costs.
What do you dislike about the product?
The pricing model can be confusing at first. Some of the advanced features need extra learning and the documentation is detailed but not always easy to follow. Occasionally I have to double check query costs.
What problems is the product solving and how is that benefiting you?
Snowflake has solved our slow reporting issues. We used to wait hours for big analytics queries. Now dashboards update quickly and the team can make decisions faster. It also simplifies data sharing across departments which helps collaboration and reduces errors.
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.
Best tool for Data Warehousing
What do you like best about the product?
Snowflake takes away the complexity of managing infrastructure and lets us focus purely on data. The separation of storage and compute means multiple teams can run queries without impacting each other’s performance. Its auto-scaling and pay-as-you-go model help control costs, and features like time travel, secure data sharing, and native integrations with BI/ETL tools make it a powerful platform. The ease of use is a huge upside—no database tuning or maintenance overhead required.
What do you dislike about the product?
While Snowflake is extremely powerful, pricing can become tricky to estimate when multiple teams are running large compute-heavy queries, especially without strict governance. The learning curve for cost optimization and warehouse sizing can be steep. Additionally, customer support response times could be faster, and some advanced features may require higher-tier plans.
What problems is the product solving and how is that benefiting you?
Snowflake is helping us centralize all our data in one place, eliminating the silos we had across different systems. With its scalability and separation of compute from storage, we no longer worry about performance drops when multiple teams run queries at the same time. Features like secure data sharing and time travel have simplified collaboration and reduced operational risks. Overall, it has improved the speed of analytics, lowered infrastructure maintenance efforts, and enabled faster, data-driven decision-making across the organization.
Highly Resourceful and "Developer" Friendly Cloud Database
What do you like best about the product?
The fact that we don't have to learn separate query language for Snowflake. If you know SQL you are good to go. The AI agent that simplifies data literacy, especially useful for familiarizing with new data warehouses. The flexibility to switch between data warehouses.
What do you dislike about the product?
Have to download the results in excel file to copy the column names. Especially for query results that have more than 100k rows.
What problems is the product solving and how is that benefiting you?
The cloud database saves so much physical space for databases. Snowflake is certainly recommended for storage optimization. The new AI features shows that Snowflake is adapting to the new industry trends. However, that is one space that we are still exploring.
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