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
“Snowflake Simplifies Data Management and Reduces Overhead for Growing Teams”
“Needs Maturity and Additional Testing Functionality, Liked for AI Capability”
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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Key Insights
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
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.
AI Capability Cross Cloud Security
The integration of Python and the Snowflake Data Connector within the platform makes interacting with the data layer much easier than traditional SQL packages. Using Snowflake's Cortex Search AI functions, I've been able to perform NLP on free-text documents to fulfill requests that previously would've been either impossible or delivered with a large disclaimer on its reliability. Instead of our traditional extract/transform architecture requiring shipping files externally for data sharing, we've been able to securely share data with partners using Private Data Shares.
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.
Cost Maturity Bugs
Managing and predicting costs has been a challenge. Cost Dashboards exist, but it's been difficult for us to pinpoint exactly what is responsible for credit usage. We've worked with Snowflake to expand on what is readily available within dashboards to have more granular insight into our credit usage. All of this information already exists in metadata tables but is not part of the administrator's console. Other challenges that aren't unique to Snowflake as a SaaS are that Snowsight (UI) updates are applied without warning, which can be disruptive.
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Peer Discussions
Snowflake AI Data Cloud Reviews and Ratings
- 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. - 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. - Data Analyst50M-1B USDSoftwareReview Source
Snowflake is the best database management tool I used, though AI Integration Remains Incomplete
Snowflake is a big step forward in user experience compared to other cloud database systems. I feel like every feature was thought through for the users, unlike the old interface of its bigger competitors. It's also in very active development. - Data Analyst1B-10B USDBankingReview Source
Snowflake's Architecture Supports Efficient Workloads With Adjustable Compute Resources
Snowflake has been one of the best performing databases I have used thus far, providing the team with good stability and speed for us to churn large quantities for data in a short timespan. - FINANCE MANAGER1B-10B USDSoftwareReview Source
Simple Coding Process Facilitates Data Transfer and Organization Across Platforms
Such an easy and effective way to meep data stored. Creating code is so easy and being able to pull records from one platform snd submit them to snkther has been so nice and organized. I never have to sit and wait or guess if the data is correct.