Cloud monitoring and observability — best in class, with an invoice that proves it
Short answer: Not technically — but it's complicated.
Datadog isn't a "scam" in the criminal sense — it's a real company with real software — but the complaint record raises serious questions about its sales practices, billing, and the gap between what's advertised and what's delivered.
The strongest "this feels like a scam" signals tend to come from one of two places: marketing claims that don't match reality, or billing practices that make leaving harder than joining. Below are the 2 flags in those two categories we've documented for Datadog.
Teams enable a new feature (RUM, synthetics, log ingestion) without realizing the billing implications and discover a 5–10x monthly invoice increase only when the bill arrives. High-cardinality custom metrics can multiply costs overnight.
"Went from $8k/month to $60k/month in 90 days because we turned on RUM without understanding the cardinality implications."
Datadog's committed-use agreements offer significant discounts, but usage exceeding committed amounts is billed at on-demand rates substantially higher. Engineering teams discover this after traffic spikes, with no real-time alerting that committed spend was being exceeded.
Our AI scanner searches Reddit, Trustpilot, BBB, and news sources for fresh complaints from the past year, paraphrases what it finds, and adds anything new to this page. Takes up to 90 seconds.
For the full record — lawsuits, churn signals, support failures, and BBB filings — see the complete complaints page.