Datadog
Ranked 3 of 16 observability platforms by recommenders
Recommended for fast debugging, log search, dashboards and AI-assisted investigation across infrastructure and services. Most common caveat: costs grow quickly with data volume and host count.
Recommended for fast debugging, log search, dashboards and AI-assisted investigation across infrastructure and services. Most common caveat: costs grow quickly with data volume and host count.
79 people gave an opinion
- recommend it
- 40
- criticize it
- 39
- approval share
- 51%
Recommended in 11 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 40 people recommend itNeeds 10 or more, met.
- 1 recommender for every criticNeeds 2 to 1 or better, not met.
- Recommended in 11 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Fast debugging and log search
“will make your inevitable distributed microservice snafu get resolved in hours rather than a longer business-risking period”
Comment from 27 Apr 2026 in “Dear friend, you have built a Kubernetes (2024)” “I have had incredible success debugging issues by just hooking up Datadog MCP and giving agents access to it.”
Comment from 9 Apr 2026 in “Launch HN: Relvy (YC F24) – On-call runbooks, automated” “always amazes me that companies like datadog somehow made log search quick”
Comment from 4 Nov 2025 in “Bloom filters are good for search that does not scale” - Comment from 5 Aug 2026 in “Gwern reties from fulltime writing to launch Guardian Angel Inc”
Easy ad hoc exploration and dashboards
“Datadog makes it so easy to throw adhoc data up on a screen and explore a hypothesis from there”
Comment from 7 Nov 2025 in “OpenTelemetry: Escape Hatch from the Observability Cartel” “it can build high quality monitoring notebooks for the pr im working on in a single shot”
Comment from 2 Mar 2026 in “MCP is dead. Long live the CLI” “Didn't know you could make a Datadog dashboard public like that!”
Comment from 5 Dec 2025 in “Cloudflare outage on December 5, 2025” - Comment from 7 Nov 2025 in “OpenTelemetry: Escape Hatch from the Observability Cartel”
Useful MCP access for AI agents
“your LLM can immediately navigate to what you want and extract the precise data you need”
Comment from 22 Aug 2026 in “New MCP Roadmap” “really 1 MCP per process in the Gantt chart--has been a huge boost at work”
Comment from 17 May 2026 in “I don't think AI will make your processes go faster” “sift through gigabytes of logs with datadog MCP”
Comment from 5 Aug 2026 in “Gwern reties from fulltime writing to launch Guardian Angel Inc” High value as central platform
“I feel we get loads of value out of it since we leaned so heavily into it as a central platform.”
Comment from 20 Feb 2026 in “Almost Every infrastructure decision I endorse or regret after 4 years” “it's been enormously useful for us”
Comment from 20 Feb 2026 in “Almost Every infrastructure decision I endorse or regret after 4 years” “does a great job making it useful”
Comment from 22 Aug 2026 in “OTel Isn't Going Well (and I Made a Spreadsheet About It)”
What people warn about
Each mark is one comment
High costs at scale
“the cost for logs is so high there's a non-trivial amount of savings in sampling and minimizing logging”
Comment from 7 Nov 2025 in “OpenTelemetry: Escape Hatch from the Observability Cartel” “Datadog it a canonical example of an excellent software business, but even still, they have real infra costs because there's just a lot of data to process.”
Comment from 26 Jan 2026 in “Ask HN: Does PPP (Parity Pricing) work for one-time digital products?” “they are EXPENSIVE. I've seen DataDog bills that cost more than the infrastructure they are monitoring!”
Comment from 7 Aug 2026 in “Show HN: PeachTrace – a new self-hosted observability platform” - Comment from 9 Jan 2026 in “Ask HN: Where are you keeping your LLM logs?”
- Comment from 14 May 2026 in “Claude for Small Business”
- Comment from 11 Jan 2026 in “Datadog, Thank You for Blocking Us”
- Comment from 8 Mar 2026 in “Log messages are mostly for the people operating your software”
Scattered views and limited data joins
“It lacks focus, pages of different views, with different metrics. Split out arbitrarily.”
Comment from 30 Jan 2026 in “Datadog started collecting EXPLAIN ANALYZE plans for Postgres queries” “lacks the flexibility to join & combine metrics from different data sources”
Comment from 22 Feb 2026 in “Track Karpenter efficiency of cluster bin-packing with kube-binpacking-exporter” Hard to leave once adopted
“The insidious thing about datadog is that it snakes its way into your entire business line and so it's really hard to extricate yourself from it down the road.”
Comment from 13 May 2026 in “Traceway: MIT-licensed observability stack you can self-host in ~90s” “If there's ever any use case to leave an expensive SaaS for self hosted, you can find it at datadog”
Comment from 4 Feb 2026 in “AI Is Killing B2B SaaS”
Other observability platforms people recommend
The four most recommended other observability platforms, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Grafana | 71 | 41 | 63% | 11 | — | — |
| Prometheus | 48 | 24 | 67% | 11 | — | Approved |
| DatadogThis page | 40 | 39 | 51% | 11 | — | — |
| Sentry | 31 | 30 | 51% | 11 | — | — |
| SigNoz | 19 | 2 | 90% | 9 | — | Approved |
What people said
40 of the 84 comments that mention it, newest first. Each links to the original comment.
“monitoring services like DataDog adding this functionality to their own internal products”
“the Datadog Agent, for example, already has buffering and filtering built into it”
“your LLM can immediately navigate to what you want and extract the precise data you need”
“does a great job making it useful”
“If you go all-in on Datadog, it's pretty easy.”
“they are EXPENSIVE. I've seen DataDog bills that cost more than the infrastructure they are monitoring!”
“sift through gigabytes of logs with datadog MCP”
“Devcycle and Datadog are nothing like generated slop”
“it is decent in letting you see how queries are run and change over time”
“really 1 MCP per process in the Gantt chart--has been a huge boost at work”
“they want to show you they'll simply charge 2-3 percent of your monthly spend”
“The insidious thing about datadog is that it snakes its way into your entire business line and so it's really hard to extricate yourself from it down the road.”
“will make your inevitable distributed microservice snafu get resolved in hours rather than a longer business-risking period”
“AFAIK, Datadog is still the best/most expensive.”
“I have had incredible success debugging issues by just hooking up Datadog MCP and giving agents access to it.”
“Integrations with Datadog (drift monitors)”
“log processing SaaS companies seem to be overcharging for their services”
“it can build high quality monitoring notebooks for the pr im working on in a single shot”
“lacks the flexibility to join & combine metrics from different data sources”
“I feel we get loads of value out of it since we leaned so heavily into it as a central platform.”
“it's been enormously useful for us”
“I praised Datadog and PGAnalyze as having the best lock monitoring tools”
“If there's ever any use case to leave an expensive SaaS for self hosted, you can find it at datadog”
“from amazing (stripe, datadog) to terrible (fivetran, github)”
“It lacks focus, pages of different views, with different metrics. Split out arbitrarily.”
“Datadog it a canonical example of an excellent software business, but even still, they have real infra costs because there's just a lot of data to process.”
“which was expensive but made sense since we didn't have enough headcount with the skills to support something self-hosted”
“They suck in all your data. Then charge you minibar prices to access it.”
“where it starts reasonable and then grows to a non-trivial percent of saas budget”
“they provide ways to monitor the services using tools that don't require paying them money”
“At least when places like Datadog do content marketing they provide ways to monitor the services using tools that don't require paying them money.”
“I've had the pleasure to use Datadog, Tailscale”
“Didn't know you could make a Datadog dashboard public like that!”
“Datadog is a monitoring, tracing, logs system, and more, for your infrastructure and services.”
“Datadog log ingest isn't too expensive which will still enrich the logs and can dump to S3”
“Datadog makes it so easy to throw adhoc data up on a screen and explore a hypothesis from there”
“the cost for logs is so high there's a non-trivial amount of savings in sampling and minimizing logging”
“stuff in Datadog was one click”
“You can make a tool that’s both powerful and usable. Datadog did it.”
“always amazes me that companies like datadog somehow made log search quick”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.