Sazabi vs Honeycomb: Wide Events and Traces Against Log-Based Issue Detection
Prices and facts checked on vendor pages on Nov 8, 2026.
Honeycomb is built for people who explore high-cardinality events and traces by hand and want to find the outlier. Sazabi is AI-native observability and security that starts from logs and opens issues for problems it detects, so you are not the one running the query first. Sazabi wrote this page, so verify the Honeycomb details against the sources listed below.
At a Glance
How Honeycomb Works and Charges
Honeycomb's pricing page, checked November 8, 2026, lists three plans. Free covers up to 20M events and 100M metric data points per month. Pro starts at $150 per month and covers up to 750M events and 3.75B data points. Enterprise is custom, with a base allowance of 10 billion events per year. The page also states unlimited seats and unlimited querying.
The unit is the event. Honeycomb's docs define it as one unit of work, and each span in a trace counts. A trace with 150 spans is 150 events. Honeycomb also states that Pro's per-event rate is $3.00 per million events since July 1, 2026, compared with $1.30 on legacy plans, and that a grace period for legacy Pro plans ends December 31, 2026.
Events you sample before sending do not count against the limit. For Free and Pro, a second consecutive month over the limit starts a 10-day warning, after which Honeycomb throttles by accepting one in ten events. Enterprise is exempt from throttling. Burst protection ignores the excess when a day exceeds twice the daily target, up to three times a month.
Logs live in the same event store. Honeycomb states that OpenTelemetry logs are linked to traces automatically when you export both from your application.
How Sazabi Works and Charges
Sazabi does not ask you to shape logs into wide events first. You send logs as they are, and Sazabi detects issues from them without hand-built monitors, investigates against your connected code, and posts the result to Slack, Microsoft Teams, or email. Repeats of one problem are grouped into a single issue. You can also ask questions in plain language, search logs, and build dashboards.
Traces arrive over OTLP and are stored as records that the agent can match to log lines by trace context. Sazabi also scans connected repositories for vulnerabilities and files confirmed findings as issues. It does not write fixes. It hands root cause to your coding agent through MCP, CLI, or API.
Plans are $50 (Hobby), $200 (Startup), and $1,000 (Growth) per 30-day cycle. Each includes 200 GB ingested, 50 GB scanned, 20 issues, and 500 AI credits, then $0.10 per GB ingested, $0.10 per GB scanned, $4 per issue, and $0.01 per AI credit. See Sazabi pricing for limits and retention.
Key Differences for a Log-Centered Team
Who asks the first question. In Honeycomb, a person or Canvas starts from a query, a trigger, or an SLO. In Sazabi, the first move is an issue that already carries its investigation. Honeycomb's Canvas can also investigate automatically when a trigger, SLO burn alert, or anomaly fires. That path requires Honeycomb Intelligence to be enabled, and covers up to 25 triggers, 25 SLO burn alerts, and 25 anomaly detections.
What you count. Honeycomb bills what the instrumentation emits, one event per span or log record. Sazabi bills bytes and issues. A service with deep traces and light logs can look very different on each meter, and you should count both for your own system.
Retention. Honeycomb's 60-day retention for events and logs is fixed. Sazabi's tops out at 90 days on Growth, with custom retention on Enterprise.
Money and plans. Honeycomb's Pro tiers repriced in 2026 and the legacy grace period ends this year, so re-check your tier. For deeper detail, see Honeycomb pricing explained.
Worked Example: Counting Events
Assumptions: 4M requests per month, each producing a 12-span trace, no sampling, and no logs counted separately.
At the entry tier of Pro that is $150 per month, from the list price on the pricing page. Sazabi's Hobby plan is $50 per 30-day cycle with 200 GB of logs ingested included. The two numbers are not interchangeable, because span counts and log bytes are unrelated.
When to Pick Honeycomb
Pick Honeycomb when your team is trace-first and already emits structured wide events with rich attributes. Its query model is built for slicing that data, and its pricing page lists BubbleUp on every plan, SLOs from Pro, and a service map on Enterprise. Unlimited seats help if many people need to query. Pick it if you need metrics with 13-month retention, or a Private Cloud deployment that includes the full Honeycomb feature set, which Honeycomb documents on AWS.
Honeycomb also fits teams that want to run their own investigation in a workspace like Canvas, with natural-language queries and shared snapshots, rather than receive a finished issue.
When to Pick Sazabi
Pick Sazabi when your most useful telemetry is unstructured or semi-structured logs, and nobody has time to build triggers for every failure. It is a good fit when your coding agent should receive a root cause, and when you want a flat entry price with included usage. If you are weighing other tools, see Honeycomb alternatives.
Trying Sazabi Alongside Honeycomb
Honeycomb is OpenTelemetry-friendly, so the common path is a Collector. Add the otlphttp exporter from the Collector source next to your Honeycomb exporter, and both receive logs and traces. Read the OpenTelemetry integration page for details.
The Sazabi agent can also read Honeycomb during an investigation through the Honeycomb MCP connector. It lists datasets, runs queries, and views boards, triggers, and SLOs. See the Honeycomb integration for setup.
Frequently Asked Questions
Can I send OpenTelemetry data to Honeycomb and Sazabi at once?
Yes, if you run an OpenTelemetry Collector. Sazabi documents adding an otlphttp exporter beside your existing exporters for logs and traces. Metrics use a separate Sazabi source.
How does Honeycomb count usage compared with Sazabi?
Honeycomb counts events per month, and each span in a trace is one event. Sazabi counts gigabytes of logs ingested and scanned, plus issues surfaced. You cannot convert between them without knowing your event sizes and span counts.
Does Honeycomb keep data longer than Sazabi?
Honeycomb documents a fixed 60 days for events and logs, and 13 months for time series metrics by default. Sazabi retains logs for 7, 30, or 90 days depending on plan, with custom retention on Enterprise.
Can the Sazabi agent query Honeycomb?
Yes. A Honeycomb MCP connector lets the Sazabi agent browse environments, datasets, and columns, run queries, and view boards, triggers, and SLOs during an investigation.
Sources
- Free, Pro and Enterprise plan limits, Pro starting price, included features, Enterprise base allowance (accessed Nov 8, 2026)
- Event and data point definitions, overage and throttling steps, burst protection, retention periods (accessed Nov 8, 2026)
- Pro per-event rate of $3.00 per million events, legacy rate, grace period end date (accessed Nov 8, 2026)
- Logs stored as events, log-trace correlation with OpenTelemetry (accessed Nov 8, 2026)
- Canvas, MCP server, anomaly detection (early access), data use and team controls (accessed Nov 8, 2026)
- Automatic Canvas investigations of triggers, SLO burn alerts and anomalies, and their limits (accessed Nov 8, 2026)
- Honeycomb Private Cloud runs in your cloud account on AWS with the full feature set (accessed Nov 8, 2026)
- Sazabi plan prices, included usage, overage rates and retention per plan (accessed Nov 8, 2026)
- Adding a Sazabi OTLP exporter next to existing Collector exporters (accessed Nov 8, 2026)
- Honeycomb MCP connector tools available to the Sazabi agent (accessed Nov 8, 2026)
- Sazabi BYOC on AWS under an enterprise agreement (accessed Nov 8, 2026)