Use Case
Cut warehouse spend 20% or more
See what every model, user, and dashboard costs to run on Snowflake or BigQuery in Radar. DinoAI agents rewrite the expensive ones. Set budgets and alerts to keep it that way.
Products
See it, fix it, keep it down
Cost visibility, query rewrites, and automatic right-sizing in one place.
Radar Cost Management
The bill by model, user, and warehouse.
- Snowflake and BigQuery spend by warehouse, user, query, and dbt™ model.
- Monthly budgets per warehouse or usage group, with alerts at 80% and 100%.
- A 90-day spend recorder with per-query cost.
DinoAI query optimization
Rewrite the worst offenders.
- A DinoAI agent finds expensive models through the dbt™ discovery tools. There is no trigger script to maintain.
- It analyzes execution plans, spills, and slot usage. It rewrites the anti-patterns and opens a pull request with a credit summary.
- One agent, one Bolt schedule.
Warehouse AI Autoscaler
Right-size Snowflake without touching a model.
- Size and tune Snowflake warehouses automatically from Radar.
- Find high-cost explores and unused content with Looker Monitoring.
Workflows
From first look to steady state
How teams take 20% or more off the warehouse bill.
Connect a cost environment
Point Radar at your Snowflake or BigQuery query history. You see spend, usage, and query-level cost on the dashboards the same day.
Find where the money goes
Sort by model, user, or warehouse. Group warehouses into usage groups to see spend by team or environment.
Fix the expensive models
Hand the top offenders to DinoAI. It analyzes the plan, rewrites the SQL or converts the model to incremental, and opens a pull request with before-and-after estimates.
Keep it under control
Set budgets. Alert on anomalies in Slack or Teams. Write custom SQL alerts for anything else you want to watch.
Platform
Fits your stack
Connect your warehouse, git provider, and the tools around them. Keep data inside your own perimeter.
Built to fit your tools and teams
Snowflake, BigQuery, Redshift, Databricks, and a dozen more warehouses. Fivetran, Airbyte, and dlt for loading. Looker, Tableau, Power BI, and Sigma for BI. Slack, Teams, PagerDuty, and Datadog for alerts. Anything else through the API, CLI, or Python SDK.
Enterprise-grade security
SOC 2 Type II, single sign-on, custom roles, audit logs, and the option to deploy the data plane inside your own AWS, GCP, or Azure account.
Customers
Teams that cut the bill on Paradime
Cost and runtime measured before and after.
Customer.io boosts dev speed 25%+ and cuts costs 20%+ with Paradime
Emma Cuts Pipeline Runtime In Half With Paradime
PushPress builds AI-powered data platform with 3x efficiency with Paradime
Resources
Go deeper
Monitor and optimize Snowflake and BigQuery warehouse costs from the Radar dashboards.
A DinoAI agent that finds expensive Snowflake models, rewrites anti-patterns, and opens a fix pull request.
The BigQuery version finds expensive models, rewrites SQL anti-patterns, and posts a cost summary to Slack.
Monthly credit allowances per workspace, user, and background agent. Paradime never caps interactive Copilot use.
Join industry leaders winning with DinoAI agents
Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.