Overview
Product Information on Snowflake AI Data Cloud
What is Snowflake AI Data Cloud?
Snowflake AI Data Cloud Pricing
Overall experience with Snowflake AI Data Cloud
“From PoC to Production: Snowflake Scales Smoothly With Our Growth; Reliable Core for Our Analytics and ML Workloads.”
“Snowflake Offers Scalable Cloud Data Warehousing With Simplified Data Sharing Features”
About Company
Company Description
Snowflake's core offering is the AI Data Cloud, a unified platform and connected ecosystem where organizations can build, use, and share data, applications, and AI. Inside the AI Data Cloud, organizations can unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Its platform is the engine that powers this environment, providing a solution for data engineering, analytics, AI, applications, and collaboration. Snowflake’s vision is to help organizations turn data and AI possibilities into reality.
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A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Snowflake AI Data Cloud
Reviewer Insights for: Snowflake AI Data Cloud
Deciding Factors: Snowflake AI Data Cloud Vs. Market Average
Performance of Snowflake AI Data Cloud Across Market Features
Snowflake AI Data Cloud Likes & Dislikes
1. Performance and scalabilty with low ops overhead: warehouses scale up/down easily, concurrency is handled well, and we rarely have to think about infrastructure. 2. Integrated ecosystem: SQLSnowparkTask/Streams: being able to keep data, transformations, ML features, and orchestration all inside Snowflake is a big advantage. 3. Strong governance and security model: RBAC, masking policies, row-level security and the ability to segment environments are very powerful once set up. 4. Data sharing and external collaboration: Secure data sharing, listing, and the general single source of truth approach make it much simpler to collaborate across teams and partners without building custom data-exchange pipelines.
Elastic computer model, low administrative management, and secure data sharing.
Combination of simplicity, performance and scalability, combined with their constant improvement in all areas and new products and features delivery. Also previously we were needing bunch of tools and vendors in our environment, with SNowflake this is constantly shrinking to almost non needed.
1. Complexity of advanced privileges and netwrking (SPCS/public endpoints) 2. Immature experience around debugging and observability for SPCS/Snowpark jobs. 3. Cost transparency and fine-grained cost attribution 4. Web UI and developer experience could be smoother: advanced IDE-style features during code development and highlighting code syntax.
User based service cost spikes (managed with proper/strict governance), and vendor lock in concerns regarding proprietary features that can make portability harder.
Not much, actually. But if I wold have to pick, one is actualy the naming of new stuff which might be confusing sometimes. Like Copilot Inline, Cortex Copilot, Cortex functions... similar naming for similar but different stuff.
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Peer Discussions
Snowflake AI Data Cloud Reviews and Ratings
- Data and Analytics Manager1B-10B USDTravel and HospitalityReview Source
From PoC to Production: Snowflake Scales Smoothly With Our Growth; Reliable Core for Our Analytics and ML Workloads.
My overall experience with Snowflake has been very positive. We run production workloads with a mix of batch, micro-batch, time-series, and analytical use cases, and Snowflake has handled them reliably with minimal operational overhead. The separation of storage and compute, easy scaling of warehouses, and ability to mix SQL with Snowpark/Python let us move quickly from prototype to production without re-architecting. - Engineer1B-10B USDMediaReview Source
Snowflake Simplifies Data Management and Reduces Overhead for Growing Teams
We are super happy with SNowflake. The platform is easy to use, we are getting more and more new features almost on a daily basis, and we have excellent support from the sales and technical team. Snowflake has removed moch of the complexity we had previously with data platform management (scaling-up and out), deployments,... There is little to no overhead required to manage an environment used by 50+ data engineers, 50+ analysts and 800+ users across product and tech teams. Our company continues to grow in all areas, yet the growth of our Snowflake spend remains below that pace, which is another major advantage. - DATA AND ANALYTICS MANAGER<50M USDMiscellaneousReview Source
Efficient ML Workflows With Snowflake
Since adopting Snowflake, we have seen a significant reduction in our modeling time and the process is much easier than what we experienced in the past. Even during our transition period, the Snowflake team we collaborated with was immensely knowledgeable, responsive and guided us throughout, ensuring we experienced a smooth transition. Their support and expertise genuinely made a difference in helping us fully leverage the platform. - IT ASSOCIATE50M-1B USDHealthcare and BiotechReview Source
Effortless Data Connections and Python Support Offset Complex Cost Tracking Difficulties
At its core, we use Snowflake for data warehousing to support cloud visualization tools and quick applet development for write-back/interaction with the data. The breadth of learning/documentation materials and intuitive interfaces have made connecting to disparate source data systems (SQL servers/Sharepoint/Restful APIs/ServiceNow/etc.) both less complex and consolidated into one place. - DIRECTOR QUALITY ENGINEERING10B+ USDBankingReview Source
Snowflake AI Cloud Integrates Data Warehousing and Engineering on One Platform
Overall, Snowflake provides data insights using AI features along with Cotrex support. The queries generated by AI data cloud help businesses to get applications created and customized with a significant amount of time.