In today’s data-driven landscape, the ability to rapidly and securely extract value from all data sources is essential. Enterprises face mounting pressure to unify their data, accelerate analytics, and adopt AI-driven workflows. Alkymi enables organizations to leverage AI and machine learning to seamlessly extract, analyze, and transform complex unstructured data into clean, structured outputs. This refined data is immediately ready for downstream business processes, analytics platforms, and decision-making systems.

Alkymi integrates seamlessly with leading downstream systems, including Snowflake, which has become the cloud data platform of choice for many organizations. Alkymi now offers enhanced support for Snowflake’s Secure Data Sharing, enabling customers to access Alkymi-processed data instantly and securely within their Snowflake environment.

The Challenge of Unstructured Data Access

Getting this newly structured data into the hands of the data teams and analysts who need it has involved manual, often complex integration work. Clients could access their structured data output via:

• APIs and Webhooks: Providing real-time, custom-formatted outputs (e.g., JSON, Excel, CSV) for application integration.

• Custom ETL/ELT Pipelines: Requiring continuous maintenance and management.

While effective, these methods sometimes introduce latency or overhead for organizations already heavily invested in a cloud data warehouse like Snowflake.

Instant Access with Snowflake Secure Data Sharing

With Snowflake’s Secure Data Sharing, this integration removes the need for separate ETL processes, complex file transfers, or additional data pipeline infrastructure. For organizations already leveraging Snowflake, it provides instant access to the structured data generated from their documents.

How It Works: Syncing with Your Snowflake Instance

Alkymi utilizes Snowflake's Secure Data Sharing capabilities to function as a data provider. This process is seamless and secure:

1. Alkymi's Internal Snowflake: The structured, processed data from your unstructured sources (e.g., documents, emails) resides in a dedicated, secure database within our Snowflake instance.

2. Creation of a Share: We create a Secure Data Share specifically for your organization, pointing to the relevant databases and schemas containing your processed data.

3. Instant Consumption: As a data consumer, your data team can instantly "mount" this share in your own Snowflake environment. The shared data appears as a read-only database, ready for querying, joining with other organizational data, and analysis—all without physically moving the data.

Key Advantages for Alkymi Clients

Snowflake Secure Data Sharing is transformative for clients seeking the fastest, most secure, and most efficient way to incorporate Alkymi’s intelligence into their enterprise data stack.

See Alkymi in Action