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Whether you operate in AWS, Azure, or Google Cloud, Snowflake ensures consistent, secure, and low‑latency delivery of Parameta’s datasets — so you can access the same high‑quality data wherever your workloads run. This flexibility allows your teams to consume Parameta data natively within your chosen cloud environment, supporting global deployment, regulatory needs, and multi‑region data strategies. There are two types of data sharing available in Snowflake. With Reader Accounts, you can access shared data even without a Snowflake account, using a secure, provider‑managed environment to view and query the data. With Direct Shares, you can access live data directly within your own Snowflake account and use your own compute to query it.

Reader Account

A Reader Account can be provided to allow clients to access Parameta Solution’s Commercial Package offering. Access to this will be managed via your sales representative, and you will be provided a URL and login credentials.

Benefits of Reader Accounts

No Infrastructure

No need to maintain your own Snowflake account or infrastructure.

Immediate Access

Start querying data immediately after receiving credentials.

Managed by Parameta

Account management and maintenance handled by Parameta.

Cost Effective

Ideal for trials and smaller data requirements.
For clients requiring more control or integration with existing Snowflake infrastructure, consider a Direct Share instead.

Direct Shares

For Snowflake customers, Direct shares enable sharing of live database objects with another Snowflake account without copying data, and the consumer pays for their own compute.

Benefits of Direct Share

Your Infrastructure

Data lives in your existing Snowflake account with your security policies.

Real-time Updates

Data is always current — no ETL or sync processes required.

No Data Movement

Data is shared in place, not copied, reducing storage costs.

Full Control

Apply your own access controls, roles, and governance policies.

Integration Options

Snowflake provides you with various integration options such as:
  • SnowSight — Snowflake’s web-based interface
  • Python — Using the snowflake-connector-python
  • SQL Clients — Any SQL client that supports Snowflake
  • BI Tools — Tableau, Power BI, Looker, and more
  • Platform Integrations - Databricks, Microsoft Fabric, etc.