Snowflake
Snowflake AI analytics:
dashboards in minutes,
no Looker required.
Connect camelAI to Snowflake and replace your entire BI stack with one conversation. Dashboards, reports, and data apps — built by AI, published in minutes.
The BI stack you can delete.
Your analytics pipeline doesn't need four vendors, six contracts, and a dedicated team to maintain. It needs one connection.
Your current stack
Looker
$50–150k/yr
dbt Cloud
$15–50k/yr
Fivetran
$12–60k/yr
Tableau
$35–70k/yr
Combined annual cost
$112k–$330k/yr
+ 2–3 analytics engineers to maintain it
With camelAI
Snowflake
Your existing data cloud
camelAI
Queries, dashboards, reports — from conversation
Annual cost
Pay for what you use
First dashboard live in under 10 minutes
From warehouse to dashboard in one prompt.
Snowflake
Data Cloud
Terabytes of structured and semi-structured data across databases, schemas, and warehouses.
camelAI
AI Agent
Writes Snowflake SQL, builds interactive dashboards, deploys live applications — all from your description.
Live Dashboards
Published Apps
Published to *.camelai.app. Share with stakeholders, embed anywhere, schedule automated refreshes.
What your stakeholders actually see.
Not a notebook. Not a CSV export. A live, interactive dashboard — built from your Snowflake data, published at a shareable URL.
Monthly Revenue
$2.4M
+12.3%
Daily Active Users
184K
+8.7%
Churn Rate
2.1%
-0.4%
Net Promoter Score
72
+3
Monthly Revenue Trend
Credit Usage by Team
| Team | Credits | Cost |
|---|---|---|
| Engineering | 2,340 | $4,680 |
| Analytics | 1,580 | $3,160 |
| Marketing | 620 | $1,240 |
| Finance | 340 | $680 |
Snowflake SQL. Natively.
camelAI doesn't translate to generic SQL. It writes Snowflake-native queries — Time Travel, QUALIFY, FLATTEN, semi-structured data, and every dialect feature your warehouse supports.
-- Time Travel: compare this week vs last week
WITH current_week AS (
SELECT
product_category,
SUM(revenue) AS total_revenue,
COUNT(DISTINCT customer_id) AS unique_customers
FROM ANALYTICS.SALES.TRANSACTIONS
WHERE transaction_date >= DATEADD(day, -7, CURRENT_DATE())
GROUP BY product_category
),
last_week AS (
SELECT product_category,
SUM(revenue) AS total_revenue
FROM ANALYTICS.SALES.TRANSACTIONS
AT(OFFSET => -86400 * 7)
WHERE transaction_date >= DATEADD(day, -14, CURRENT_DATE())
GROUP BY product_category
)
SELECT
c.product_category,
c.total_revenue,
c.unique_customers,
ROUND((c.total_revenue - l.total_revenue)
/ NULLIF(l.total_revenue, 0) * 100, 1) AS wow_growth_pct
FROM current_week c
JOIN last_week l USING (product_category)
QUALIFY ROW_NUMBER() OVER (ORDER BY wow_growth_pct DESC) <= 10;Do the math.
Your BI layer costs more than your warehouse. That doesn't make sense.
Looker
per year
- 6–12 months to implement
- Requires LookML developer
- Annual contracts, per-seat pricing
Tableau
per year
- 3–6 months to set up
- Desktop license + Server/Cloud
- Extract scheduling headaches
camelAI
no annual contract
- First dashboard in under 10 minutes
- No modeling language to learn
- Iterate with conversation, not tickets
Enterprise-ready. Zero compromises.
camelAI is built for the same security and governance standards your Snowflake deployment already meets.
camelAI respects your Snowflake roles and permissions. Users only see what their role allows — databases, schemas, and tables are filtered automatically.
Connections use read-only service users. No writes, no deletes, no accidents. Your warehouse stays exactly as it is.
SAML and OIDC single sign-on for your data team. Manage access centrally. Onboard analysts without managing individual credentials.
Every query logged with user identity, warehouse used, credits consumed, and execution time. Complete visibility for compliance and cost tracking.
Specify which Snowflake virtual warehouse to use. Isolate camelAI workloads from production queries. No resource contention.
Publish dashboards with role-based access. Finance sees revenue. Engineering sees infra. Everyone gets exactly what they need.
Reports that write themselves.
Set up a cron job in one message. camelAI wakes up on schedule, queries your Snowflake warehouse, generates a formatted report, and delivers it to Slack or email — no human in the loop.
- Standard cron syntax — any schedule you need
- Full agent turn — queries, charts, analysis, delivery
- Accumulates context — compares against previous runs
Slack preview — #revenue-updates
Daily Revenue Report — Mar 17, 2026
Total Revenue: $847,293 (+14.2% vs. prior Monday)
Top Product: Enterprise Plan — $312,450 (36.9% of total)
Anomaly: APAC region down 23% — possible data delay in RAW.APAC_ORDERS
What will you build on Snowflake?
“Connect to our Snowflake warehouse and build an executive KPI dashboard. Pull revenue from ANALYTICS.BILLING, DAU from ANALYTICS.EVENTS, and churn from ANALYTICS.SUBSCRIPTIONS. Publish it for the leadership team.”
Try this prompt“Query our Snowflake data — we have 2TB of clickstream data in RAW.WEB_EVENTS. Build a conversion funnel with drop-off analysis by device type and geography. Use Time Travel to compare against last month.”
Try this prompt“Build a Snowflake cost optimizer dashboard. Show credit usage by warehouse, query volume by team, and flag any queries scanning more than 1TB. Set up daily cron alerts to Slack.”
Try this prompt“Create a data quality monitoring app from our Snowflake warehouse. Check row counts, null rates, and freshness across our top 20 tables. Alert in Slack when anything drifts beyond thresholds.”
Try this prompt