> For the complete documentation index, see [llms.txt](https://docs.predicthq.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.predicthq.com/integrations/third-party-integrations/snowflake.md). # Receive data via Snowflake Snowflake Secure Data Share deploys PredictHQ's verified real-world context directly into your Snowflake environment, where your own access controls govern it. Your models, pipelines, and AI systems query an always-current local share over a familiar SQL interface - the foundation for training forecasting models on event features and for [grounding AI systems inside your environment](/integrations/integration-guides/provisioned-grounding.md). PredictHQ manages delivery, so there is no ELT/ETL pipeline to build or maintain. You can check out the [Introduction to Secure Data Sharing](https://docs.snowflake.com/en/user-guide/data-sharing-intro.html) page if you're interested to read more on Snowflake's Secure Data Sharing. ## Sample data shares PredictHQ offers multiple up-to-date event Data Shares on Snowflake's Marketplace. This, bundled up with Snowflake's 30-day trial, offers you a commitment-free opportunity to try PredictHQ's data for free. The sample Data Shares are not limited in terms of columns or fields making them valuable for business and data science evaluations. However, these data shares are limited to a specific location and restricted time window that might not suit your use case. These samples therefore represent a small fraction of the data we have. We also offer Customized Data Shares, which we filter to match your preferences. {% embed url="" %} PredictHQ Sample Data Shares on Snowflake Marketplace {% endembed %} ## Customized data shares PredictHQ can set up Customized Data Shares to match your preferences in terms of data type, location, time window, and business use case. They are secure, and PredictHQ manages delivery, so they usually don't require business resources for data integrations if you're already in the Snowflake platform. [Get in touch](https://www.predicthq.com/contact) with us to discuss your needs and we will come back to you as soon as possible. ## Backwards compatible changes Be aware that we may make backwards compatible changes to the Snowflake tables from time-to-time. Examples of some changes we might make that don't break backwards compatibility, and that we may introduce at any time without warning: * New columns added to existing tables. * New tables in addition to existing tables. * New event categories and labels. ## Frequently asked questions These questions come up most often: * **How does costing work on the data shares?**\ Snowflake's architecture separates data warehousing into different distinct layers: storage, virtual warehouses (compute), and cloud services. By using PredictHQ's data through Snowflake, you would only pay for the amount of computation that you would perform on the shared data. In other words, there is no cost for you to store the data and you would only be billed for running queries on the shared data. You can read more about [Snowflake's costing on their website](https://www.snowflake.com/pricing-page-registration-page/). * **How frequently is the shared data updated?**\ PredictHQ updates its data shares at midnight in the region's timezone by default. This frequency is generally sufficient for most use cases. If you require more up-to-date data, PredictHQ can provide it as frequently as every 3 hours on request - this would likely incur additional fees. If you require it more frequently than mentioned here, please discuss options with your PredictHQ team. * **Can I make a change in the shared data or re-share it?**\ All database objects shared between accounts are read-only. They cannot be directly modified or deleted, including adding or modifying table data. Shared databases and all the objects in the database cannot be re-shared with other accounts. --- # Agent Instructions This documentation is published with GitBook. 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