It’s great to have data warehousing, data lakes, data engineering, and data sharing unified in a single service. Review collected by and hosted on G2.com.

The response times can be slow, although it makes sense since it’s built for analytical processing rather than low-latency, user-facing applications. Review collected by and hosted on G2.com.

Snowflake's simplicity combined with powerful scalability. It separates compute and storage, making it easy to scale performance up or down on demand without complex infrastructure management, while delivering fast, reliable analytics on large volumes of data. Review collected by and hosted on G2.com.

Cost predictability. Because compute usage is consumption-based and can scale very easily, it’s also easy for queries, poorly optimized workloads, or multiple teams to drive up costs unexpectedly without strong governance and monitoring in place. Review collected by and hosted on G2.com.

It is a clean and easy to understand interface that allows us to access our data easily. We've begun utilizing their feature to create your own AI agent and it's incredibly useful, especially in that we can help train it by defining our data. It is greatly increasing the accessibility of our data across the organization Review collected by and hosted on G2.com.

Occasionally, there are some nuances to the sql structure that need to be worked through, though these are minor Review collected by and hosted on G2.com.

I appreciate Snowflake's intuitive layout and design, which makes it easier to navigate and enhances data visibility. This better visibility simplifies reporting and analytics for me, making them easier to read. I also find the initial setup of Snowflake to be very easy, which is a big plus. Overall, I've been enjoying all the features of Snowflake. Review collected by and hosted on G2.com.

NA Review collected by and hosted on G2.com.

I like the separation of compute and storage in Snowflake, which allows for independent scaling and helps to avoid query conflicts while improving concurrency and controlling costs. I appreciate Snowflake's high performance with minimal tuning, as it automatically manages optimization tasks like indexing and query planning, allowing complex queries to run efficiently. The ease of handling different data types, including the ability to work with structured and semi-structured data like JSON, is another plus for me. I enjoy the low maintenance nature of Snowflake, as it eliminates the need to manage servers and indexing. Its strong integration ecosystem with various data storage and analytic tools makes it a versatile choice for data warehousing. The quick provisioning process, smooth data loading from cloud storage, and straightforward database management using SQL commands greatly simplify setup and operation. Review collected by and hosted on G2.com.

Cost management can be tricky. While the pay-as-you-use model is powerful, it requires close monitoring. In our project, long-running or poorly written queries could quickly increase compute costs if warehouses were not managed properly. Snowflake abstracts most performance tuning, which is usually a benefit. However, in some complex scenarios, the lack of deep control made fine-grained optimization difficult. Basic usage is simple, but advanced concepts such as time-travel, zero-copy cloning, and secure data sharing took time for teams with strict latency or connectivity requirements. Review collected by and hosted on G2.com.

I like the ease of use combined with powerful scalability in Snowflake. The platform handles performance optimization automatically, making queries run quickly without needing manual tuning. The separation of compute and storage offers great flexibility and cost efficiency. Snowflake’s secure data sharing and seamless integration with BI and data tools make collaboration and analytics highly efficient. The initial setup was very easy and straightforward, with minimal time required to start. The intuitive interface and clear onboarding steps facilitated quick connection to data sources and running queries swiftly, even for first-time users. Review collected by and hosted on G2.com.

Some areas that could be improved include cost visibility and optimization, especially for teams new to Snowflake, as usage-based pricing can take time to fully understand and manage. The platform is very powerful, but advanced features have a learning curve, so better in-product guidance or documentation for new users would be helpful. Additionally, more native monitoring and cost-governance tools could make it easier to track and control spend across teams. Review collected by and hosted on G2.com.

I like how quickly it runs queries, and how easy it is to look up past queries in the query history. Review collected by and hosted on G2.com.

I don’t like that the interface changes very often, and sometimes it isn’t clear how to use it. Review collected by and hosted on G2.com.

Easy to manage overall. The query language and its dialects feel consistent and intuitive, which makes it a great fit for BI workloads. Micro-partitioning is also excellent, even if it’s proprietary. Review collected by and hosted on G2.com.

I think their AI features—and especially the naming—are a bit all over the place. They offer AI under several different names, like Cortex, Snowflake Intelligence, Analyst, etc. I don’t really understand why it needed to be split across so many labels. Review collected by and hosted on G2.com.

The most helpful thing about Snowflake is that it lets teams analyze large amounts of data quickly without worrying about infrastructure or performance tuning. It removes much of the operational complexity that usually comes with data platforms. Review collected by and hosted on G2.com.

Snowflake’s power comes from simplicity, scalability, and cloud-native design, but that comes at a cost: higher bills for heavy workloads, some limitations for unstructured or ML-heavy use cases, and dependence on SQL skills and the Snowflake ecosystem. Review collected by and hosted on G2.com.

Snowflake is easy to use, highly scalable, and delivers fast performance for analytics workloads. Its cloud-native architecture and seamless integrations make data management efficient and reliable Review collected by and hosted on G2.com.

The main downside is cost optimization, as usage can grow quickly without proper monitoring. Initial setup, governance, and advanced configurations also require experienced resources. Review collected by and hosted on G2.com.