Search Petabytes of Log Data in Seconds
Full-text search across years of security logs in seconds, not hours. Inverted indexes and serverless execution make iterative investigation actually possible.
TRUSTED BY
"We can search through a full year of logs in seconds, giving us visibility into an order of magnitude more data than before. Analysis at this kind of scale is essential in the cloud era."
- Jonathan Jaffe, CISO | Lemonade
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<10s
100x
1-10s
$0.01-0.10
Traditional Data Lakes Are Too Slow for Security
When queries take 30+ minutes, investigation becomes impossible. You can't iterate, can't pivot, can't pursue multiple hypotheses.
Problem: Full Scans
Traditional tools (Athena, Presto) scan entire tables even for simple queries. Searching for a specific IP or API key means reading and parsing every log file.
❌ 30+ minute queries on months of data❌ Scan entire dataset to find matching events
❌ $75-100 per query in compute costs
❌ Can't search nested JSON efficiently
❌ Partitioning helps but doesn't solve the core problem
Solution: Inverted Indexes
Scanner builds indexes at ingestion time. Queries look up which files contain matching data, then scan only those files. Skip everything else.
✅ 1-10 second queries on years of data✅ Scan only files with matching events
✅ $0.01-0.10 per query
✅ Native nested field access
✅ Works on any data, no partitioning required
Speed Changes What's Possible
Investigation is iterative. Every answer leads to more questions. Fast queries mean you can actually follow every lead. Traditional data lake tools like Athena and Presto are too slow for this workflow.
Traditional Tools
3 queries in 2 hours
Scenario:
Suspicious API key accessing S3 buckets from unknown IP.
- Query 1:
When did this key first appear?
45 minutes - Query 2:
What other buckets has it accessed?
38 minutes - Query 3:
Any related suspicious activity?
52 minutes
Total: 2 hours 15 minutes
Investigation has barely started. Window for containment is closing.
Scanner
20 queries in 4 minutes
Same scenario:
But you can pivot immediately on every finding.
- Query 1:
When did this key first appear?
8 seconds - Query 2:
What other buckets has it accessed?
5 seconds - Query 3:
Any related suspicious activity?
12 seconds - Query 4:
Who created the key? When? From where? What else did they do? Which resources are affected? Any lateral movement?
3 minutes combined
Total: 4 minutes
Root cause identified: compromised CI/CD pipeline. All affected resources mapped. Systems isolated.