Your Queries Are Silently Bleeding Money. We Find and Fix Them.
For most teams, data warehouse costs slowly creep up — nobody notices what changed or why. Cloptima's AI analyzes your queries, identifies expensive patterns, and suggests concrete optimizations with real cost savings.
BigQuery
✓ LiveFull analysis + refactored query suggestions
Redshift
Coming SoonQuery plan analysis + optimization
Snowflake
Coming SoonWarehouse sizing + query optimization
Databricks
Coming SoonJob cost analysis + cluster rightsizing
See the Difference
SELECT *
FROM `project.dataset.events`
WHERE event_date >= '2025-01-01'
AND user_id IN (
SELECT user_id
FROM `project.dataset.users`
WHERE country = 'US'
)
ORDER BY event_date DESC⚠️ Full table scan: 4.2 TB
⚠️ SELECT * pulls 47 unused columns
⚠️ Correlated subquery forces nested scan
SELECT e.event_id, e.event_type,
e.event_date, e.properties
FROM `project.dataset.events` e
INNER JOIN `project.dataset.users` u
ON e.user_id = u.user_id
WHERE e.event_date >= '2025-01-01'
AND u.country = 'US'
ORDER BY e.event_date DESCPartition pruning: 180 GB scanned
Only 4 needed columns selected
JOIN replaces correlated subquery
How Cloptima Optimizes Queries
Detect Expensive Patterns
Identifies full table scans, unnecessary JOINs, missing partitioning, and other patterns that silently multiply your data warehouse costs.
Suggest Refactored Queries
Not just 'your query is expensive' — Cloptima provides concrete, copy-paste-ready refactored queries with explanations of what changed and why.
Quantify Savings
Every suggestion comes with estimated cost savings: 'This refactor would reduce scan from 4.2TB to 180GB, saving ~$18/run.'
Continuous Monitoring
Cloptima continuously watches your query patterns. When costs creep up — new queries, changed data volumes — you get proactive notifications.
Frequently Asked Questions
Stop Paying for Expensive Queries
Connect your BigQuery and start optimizing. Expand to additional warehouses as your rollout progresses.