Datadog vs Honeycomb: Host-Based Suite or Event-Based Tracing
Prices and facts checked on vendor pages on Nov 8, 2026.
Datadog is a broad, host-priced suite covering infrastructure, APM, logs, security, and user monitoring. Honeycomb is an event-priced tool built around querying traces and wide events by hand to find the outlier. Choosing between them is mostly a choice between breadth under one login and depth on one debugging workflow.
The Short Answer
Pick Datadog when you want one vendor for hosts, containers, databases, logs, APM, and security, and you can live with several meters. Pick Honeycomb when your main job is debugging distributed systems from rich traces, you want unlimited seats and querying, and one event meter is easier to forecast than many. Plenty of teams run both, with Datadog on infrastructure and Honeycomb on traces.
Datadog vs Honeycomb at a Glance
How Datadog Charges
These are list prices from Datadog's price list, checked on November 8, 2026. The annual price is the lowest. Month-to-month and on-demand prices are higher.
- Infrastructure Pro: $15 per host per month billed annually, $18 month-to-month. Enterprise is $23 and $27.
- APM: $31 per APM host per month annually, $36 month-to-month. APM Pro is $35, and APM Enterprise, which adds Continuous Profiler, is $40.
- Ingested spans: $0.10 per ingested GB.
- Indexed spans: $1.27 per million at 7-day retention, $1.70 at 15 days, and $2.50 at 30 days, billed annually.
- Logs: $0.10 per ingested GB, then $1.06 to $2.50 per million indexed events depending on 3 to 30 days of retention. Flex Logs Starter is $0.60 per million events stored per month.
- AI Credits: $500 for a bundle of 500 credits, billed annually.
Datadog's APM billing docs say APM is billed by hosts running the agent and not by service, using the 99th percentile of hourly host counts so a short spike is not billed. Its trace retention docs say spans are kept for 15 days by your retention filters, and that spans kept by the intelligent retention filter do not count toward your indexed span usage.
How Honeycomb Charges
Honeycomb's pricing page lists Free, Pro, and Enterprise. Free covers up to 20M events and 100M metric data points a month. Pro starts at $150 per month for 50M events and goes up to 750M events and 3.75B data points. Enterprise is custom, with a base allowance of 10 billion events a year. The page lists unlimited seats and unlimited querying.
An event is one unit of work, and each span in a trace counts. A trace with 150 spans is 150 events. Honeycomb's Pro plan notes state a rate of $3.00 per million events from July 1, 2026, against $1.30 on legacy plans, with a grace period for legacy Pro ending December 31, 2026. Events you sample before sending do not count. On Free and Pro, a second straight month over the limit starts a 10-day warning, after which Honeycomb accepts one in ten events until volume drops. Enterprise is exempt from throttling.
A Worked Example
Assume a checkout service with 4M requests a month and 12 spans per request, no sampling, and 8 hosts each running Datadog's agent. The Datadog lines use annual list prices and leave out logs, ingestion volume, and indexed spans.
If span volume triples to 144M events, Honeycomb's stated $3.00 per million rate implies about $432, though real tiers may round differently. Datadog's host line stays at $368 because the hosts did not change, but ingestion and indexed spans would add to it. The two bills respond to different things, so count both spans and hosts before you compare.
Key Differences
Meter shape. Honeycomb has one traffic meter for traces and logs. Datadog has a separate meter for each product, which gives you fine control and more to forecast. Honeycomb's docs also say metrics sent as time series bill in data points, separate from events.
Retention. Honeycomb's 60 days for events and logs is fixed. Datadog lets you pick indexed span retention by price and keep logs from 3 days up to 15 months with Flex Logs, and its docs describe retention filters you can write for specific services and errors.
Investigation style. Honeycomb's Canvas can start investigating a trigger, SLO burn alert, or anomaly when it fires, for up to 25 of each, and it requires Honeycomb Intelligence to be enabled. Datadog's Bits Investigation is documented as an autonomous agent that forms hypotheses and gathers telemetry. Its pricing page estimates about 4 credits per autonomous investigation, which is roughly $4 at the annual bundle price. Both are optional and metered differently.
Deployment. Honeycomb documents Private Cloud on AWS, either Honeycomb-managed or self-managed, with the full feature set. If your telemetry must stay in your own cloud account, that matters.
When to Pick Datadog
- You need infrastructure, database, security, and user monitoring beside APM, and want a single vendor.
- You want to tune indexed span and log retention per service and pay only for what you keep.
- You would rather buy per host than per span, and your traces are deep but your fleet is small.
- You want published list prices at several commitment levels so you can model the bill before talking to sales. If you are also weighing other vendors, see Datadog alternatives.
When to Pick Honeycomb
- Your team debugs production by slicing high-cardinality trace data and wants unlimited seats and queries.
- You want one event meter for traces and logs, with burst protection for traffic spikes.
- You need a Private Cloud deployment in your own AWS account.
- You are on a legacy Pro plan and must choose a tier before the grace period ends on December 31, 2026. If that decision reopens the question, see Honeycomb alternatives.
Where Sazabi Fits
Sazabi is AI-native observability and security that can run beside either tool. Add an OTLP exporter to your OpenTelemetry Collector next to your Datadog or Honeycomb exporter, as the Collector setup docs describe, and Sazabi gets a copy of your logs. Its agent investigates in Slack and opens issues, and it can query both vendors through the Datadog and Honeycomb connectors. Sazabi ingests OpenTelemetry metrics (Prometheus metrics through an OpenTelemetry Collector) and OTLP traces through the same intake as your logs. It stores each metric data point and each span as a log record that its agent queries alongside your logs, so there is no separate metrics store to run. Plans start at $50 per 30 days with 200 GB of logs included, per the pricing page. For one-on-one views, see Sazabi vs Datadog and Sazabi vs Honeycomb.
Frequently Asked Questions
Is Honeycomb cheaper than Datadog?
It depends on what you send. Honeycomb charges by events per month, and every span counts, so a trace-heavy service gets more expensive as traces get deeper. Datadog charges APM by host, then adds ingested and indexed span volume, so a few busy hosts can cost less than they would in events. Price your own span count and host count at both vendors before deciding.
Does Honeycomb replace Datadog infrastructure monitoring?
Not by itself. Honeycomb stores traces, logs, and time series metrics, but its pricing page lists no host, container, database, or security monitoring products like the ones Datadog sells. Teams often keep Datadog for infrastructure and use Honeycomb for trace analysis.
How long does each tool keep trace data?
Honeycomb documents a fixed 60 days for events and logs, which includes spans. Datadog keeps spans chosen by your retention filters for 15 days and spans kept by its intelligent retention filter for 30 days, and you pay for indexed spans at 7, 15, or 30 day rates.
Can I send the same OpenTelemetry data to Datadog and Honeycomb?
Yes. Both accept OTLP, and an OpenTelemetry Collector can export to more than one backend at once. Watch the bill when you do, because Honeycomb counts every span as an event while Datadog counts ingested gigabytes.
Which one has the better AI investigation?
They are built differently. Datadog sells Bits Investigation as an autonomous agent billed in AI Credits. Honeycomb offers Canvas, an MCP server, and early-access anomaly detection, and lists Canvas on Free, Pro, and Enterprise plans. Run both on one of your own incidents to judge fit.
Sources
- Datadog list prices for infrastructure hosts, APM hosts, ingested and indexed spans, logs, Flex Logs and AI Credits, annual and month-to-month (accessed Nov 8, 2026)
- Datadog Free tier (five Basic hosts, 1-day metric retention), AI Credits bundle, Flex Logs options (accessed Nov 8, 2026)
- Span retention filters, 15-day retention, intelligent retention filter, trace-level retention (accessed Nov 8, 2026)
- APM tiers, billing by host rather than service, 99th percentile of hourly hosts (accessed Nov 8, 2026)
- Bits Investigation autonomous investigation of production issues (accessed Nov 8, 2026)
- Datadog accepts OpenTelemetry metrics, traces and logs (accessed Nov 8, 2026)
- Free, Pro and Enterprise plans, event and data point limits, Pro starting price, unlimited seats, plan features (accessed Nov 8, 2026)
- Event and data point definitions, overage and throttling steps, burst protection, 60-day and 13-month retention (accessed Nov 8, 2026)
- Pro rate of $3.00 per million events, legacy rate, grace period ending December 31, 2026 (accessed Nov 8, 2026)
- Logs stored as events and counted in the event allotment, log-trace correlation (accessed Nov 8, 2026)
- Canvas, MCP server, anomaly detection (early access), data use and team controls (accessed Nov 8, 2026)
- Canvas investigates triggers, SLO burn alerts and anomalies when they fire, with limits (accessed Nov 8, 2026)
- Private Cloud runs in your cloud account on AWS, Honeycomb-managed or self-managed (accessed Nov 8, 2026)
- OTLP over gRPC, HTTP/protobuf and HTTP/JSON for traces, metrics and logs (accessed Nov 8, 2026)
- Sazabi plan prices, included usage and overage rates (accessed Nov 8, 2026)
- Adding a Sazabi OTLP exporter next to existing Collector exporters (accessed Nov 8, 2026)
- Honeycomb MCP connector for the Sazabi agent (accessed Nov 8, 2026)
- Datadog MCP connector for the Sazabi agent (accessed Nov 8, 2026)