v0.2.2 Public Alpha
Pluto Duck OSS
Local-first Analytics Studio powered by DuckDB and an AI Agent.
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Q4 RevenueYesterday
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Ad Platform Performance Comparison
< Platform Raw Data Integration >
322 rows fetched in 42ms
| src | date | account_id | campaign_id | spend | clicks |
|---|---|---|---|---|---|
| 2025-01-05 | 508419372 | 294817365 | $1,240.50 | 842 | |
| 2025-01-12 | 508419372 | 294817365 | $980.20 | 621 | |
| naver | 2025-01-10 | 2847193 | nccCmp.a8d... | ₩2,450,000 | 1,894 |
| naver | 2025-01-03 | 2847193 | nccCmp.a8d... | ₩1,890,000 | 1,432 |
< Daily Platform Efficiency: CPM >
2025-01-012025-01-052025-01-102025-01-14
vw_ads_performance_daily...
@vw_ads_performance_daily_v2 Summarize the data briefly.
run_analysis
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get_analysis
Done
list_tables
Done
run_sql
Done
Period/Scale: 2025-01-01~2025-01-14, 14 days, 322 rows, 5 sources.
Total: Impressions 519,432, Clicks 3,286 (CTR 0.63%), Cost 11,790,775 KRW
Channel Summary: Meta on conversions (FB 11, Insta 3). Cost Share: Google 4.00M > LinkedIn 2.44M > Naver 2.33M...
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Your Data, Your Machine.
Pluto Duck runs 100% locally on your Mac. No cloud uploads, no latency, and complete privacy. Connect directly to your databases and analyze gigabytes of data instantly using the power of embedded DuckDB.
Postgres
MySQL
S3
Parquet
- Zero-latency local processing
- Connects to database read-replicas directly
- No data leaves your device
# Analyze local parquet file
SELECT *
FROM './large-dataset.parquet'
WHERE revenue > 100000
ORDER BY date DESC;AI That Does The Grunt Work.
Stop writing boilerplate SQL. The built-in AI Agent understands your schema and intent. Just ask it to "analyze monthly churn" or "visualize ad spend," and watch it build charts and tables for you.
- Auto-generates complex SQL queries
- Learns from your schema context
- One-click visualization building
✨
Analyze the user retention for Q4 please.
🤖
Thinking...
▶ Scanned tables: users, events
▶ Generated SQL query for retention
✓ Plotting retention curve...