ceven

Snowflake

Runs SQL queries to pull raw data for reports, monitors warehouse health to prevent cost overruns, and automates data retrieval for business intelligence workflows.

Try Snowflake in Ceven

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Why use Ceven?

  1. AI native Snowflake integration

    • Describe the outcome and Ceven picks the right Snowflake calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Snowflake data, across all 14 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Snowflake access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Snowflake, when, and on whose behalf.
    • The agent pauses and asks when Snowflake is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Snowflake.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Snowflake action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Snowflake, and when to use it.

Execute SQL
Use this to run a SQL statement and return the resulting data immediately. Best for quick lookups and small result sets.
Submit SQL Statement
Submit a SQL statement for execution. Use this for longer running tasks where you will check the status later.
Check Statement Status
Pull the current status of a previously submitted SQL statement using its unique handle.
Cancel Statement Execution
Stop a running SQL statement. Use this to kill runaway queries that are consuming too many credits.
Show Databases
List all databases you have access to, including metadata like owner and retention time.
Show Schemas
List all schemas within your access range to understand the data organization.
Show Tables
Pull a list of tables with row counts and size in bytes to identify the right source for a query.
Get Status Summary
Retrieve a high level summary of the Snowflake status page including unresolved incidents.
Get Status Rollup
Pull the blended component status to see if the platform is experiencing a partial outage.
Get Component Status
Check the health of individual Snowflake components to isolate connectivity issues.
Get Unresolved Incidents
List all current incidents in the investigating or monitoring state.
Get Upcoming Maintenances
Pull a list of scheduled maintenance windows to plan for potential downtime.
Get All Scheduled Maintenances
Retrieve the 50 most recent maintenance events, including those already completed.
Get Active Maintenances
List maintenances currently in the in progress or verifying state.
Fetch Catalog Integration
Pull specific details regarding a catalog integration setup.
Get Active Scheduled Maintenances
Retrieves a list of any active scheduled maintenances currently in the in progress or verifying state.
Get Upcoming Scheduled Maintenances
Retrieves a list of any upcoming scheduled maintenances still in the scheduled state.

17 actions · scroll to see them all

Frequently asked questions

Ceven connects to Snowflake using a dedicated service account with a principle of least privilege. You control exactly which databases, schemas, and tables the account can access via Snowflake Role Based Access Control. We never request account admin privileges. All queries are sent over encrypted connections, and we do not store the raw results of your queries in our long term memory unless you explicitly map them to a workflow variable. You can audit every single query Ceven runs by checking the Snowflake Query History tab, where each request is logged with the service account name and the exact SQL statement executed.
Yes. One of the primary use cases for the Ceven Snowflake integration is cost governance. You can build a workflow that periodically checks for queries that have been running longer than a set threshold, such as ten minutes. The agent can then use the Cancel Statement Execution action to stop those queries automatically. You can also set up alerts that notify your team in Slack when the status summary indicates a performance dip or when specific warehouse usage spikes. This prevents the common problem of a poorly written join consuming an entire monthly credit budget in a single afternoon.
Ceven can read and process any data that Snowflake returns in a standard tabular format. This includes strings, integers, booleans, and timestamps. For complex types like VARIANT, ARRAY, or OBJECT, the agent receives the JSON representation. Because Ceven uses a large language model to interpret the data, it is very good at parsing those JSON strings into usable information for your workflows. If you have deeply nested semi structured data, we recommend using a SQL view in Snowflake to flatten the data first, which ensures the agent gets the most accurate and concise result set possible.
Ceven handles this through a two step process. For simple queries, the agent waits for the response. For more complex analytics, the agent uses the Submit SQL Statement action, which is asynchronous. It receives a statement handle and then polls the Check Statement Status endpoint. This prevents the workflow from timing out while Snowflake processes billions of rows. If a query exceeds your defined timeout limit, the agent can be programmed to either retry, alert a human, or cancel the execution to save credits. This architecture ensures that your business workflows remain stable even during heavy data loads.
While Ceven can scale, you are subject to Snowflake's own concurrency limits. Snowflake limits the number of queries that can run simultaneously on a single warehouse. If the agent submits too many concurrent requests, Snowflake will queue them. This can lead to perceived latency in your workflows. To avoid this, we recommend using multiple warehouses for different workflow priorities or increasing the warehouse size for heavy batch operations. Additionally, be mindful of the result set size. Very large returns can slow down the agent interpretation phase, so always use LIMIT clauses when you only need a sample of the data.
Ceven can execute any SQL statement that the provided service account has permission to run. If you grant the account CREATE TABLE or ALTER TABLE permissions, the agent can modify your schema. However, we strongly recommend against this for most users. The safest pattern is to give the Ceven account read only access to your production data and write access only to a specific staging schema or a set of temporary tables. This ensures that your core data architecture remains intact while still allowing the agent to perform necessary data transformations or log workflow results back into the warehouse.
Ceven has built in health checks using the Snowflake status endpoints. The agent can pull the status rollup or the unresolved incidents list to determine if the platform is experiencing issues. You can build a circuit breaker into your workflows so that if the status summary indicates a critical failure, the agent stops attempting to run queries and instead sends a notification to your engineering team. This prevents your workflow logs from filling up with connection errors and avoids wasting API calls during a known outage. Once the status returns to normal, the workflow can automatically resume.
Ceven is designed for operational workflows rather than bulk ETL. While it can execute SQL to move data between tables, it is not a replacement for tools like Fivetran or dbt. Using an agent to move millions of rows one by one would be inefficient and expensive. The best way to use Ceven for migrations is as an orchestrator. The agent can trigger a Snowflake stored procedure or a Task that handles the bulk movement of data, and then use the Check Statement Status action to verify when the migration is complete before notifying the stakeholders or triggering a downstream process.

Alternatives to Snowflake

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

Google BigQuery logoGoogle BigQueryAmazon Redshift logoAmazon RedshiftDatabricks logoDatabricks

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Plug Ceven on top of the tools you already run. Connect Snowflake and the rest of your stack, describe the outcome, and its agents handle the work end to end, days of it in minutes.

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