Sazabi vs Mezmo: What Happens Before and After Your Logs Are Stored
Prices and facts checked on vendor pages on Nov 8, 2026.
Mezmo's site now leads with a telemetry pipeline and governed agents for production work, while its docs still describe a Log Management product. Sazabi is a destination for logs that finds and explains problems. They sit at different points in the flow, so they are often complements. Sazabi wrote this page, so check the facts against the Mezmo pages listed below the article.
At a Glance
How Mezmo Works and Charges
Facts below are from the Mezmo pricing page, platform page and documentation, read on 2026-11-08.
The core product is a pipeline between your sources and your tools. Mezmo's platform page lists live tail with replay, tail-based sampling, data profiling, and pipeline-as-code. The docs list sources such as OpenTelemetry, Fluentd and Fluent Bit, the Datadog Agent, Splunk HEC and Prometheus Remote Write. Destinations include HTTP Endpoint, an OpenTelemetry destination, Datadog, Elasticsearch, Splunk HEC, Sumo Logic, S3 and others. Processors cover tasks such as removing fields, deduplicating records, aggregating and encrypting fields.
On top sits an agent. The homepage describes governed production agents with four parts: Insights, Memory, Governance and Ledger. Policy decides which calls run freely, which wait for an approver in Slack, and which never run. AURA, the open-source harness, is written in Rust under Apache 2.0, and its docs say you own the config and deployment and that writes can wait for a human decision.
On price, the page says every plan includes pipelines, context for AI, agentic root cause analysis, data control and role-based access for the MCP server. It says cost is "based on your data volume and retention needs" with no separate AI charge. It lists no dollar figures, so this page cannot give you a Mezmo number. Ask for a quote at your volume and retention.
How Sazabi Works and Charges
Sazabi sits after any routing you do. It is a place to send logs where something reads all of them. Point the OpenTelemetry Collector at an intake URL, and Sazabi flags problems you did not write a monitor for, opens an issue, reads your connected GitHub repositories for context and alerts in Slack, Microsoft Teams or email. There are no schemas or parsing rules to build first. Sazabi investigates and then hands the context to Claude Code, Codex or Cursor. It does not act on production itself and does not write the fix.
Plans are $50, $200 and $1,000 per 30 days, with 200 GB ingested, 50 GB scanned, 20 issues and 500 AI credits each. Overage is $0.10 per GB ingested, $0.10 per GB scanned, $4 per issue and $0.01 per credit. At 1 TB a month, with scans at 0.4 GB per GB ingested (an assumption), the Startup plan comes to $315. At 10 TB it is $1,575. See the Sazabi pricing page.
Sazabi holds SOC 2 Type II, SOC 1, ISO 27001 and ISO 27017 certifications. Anyone who signs an NDA, customer or not, can request the SOC 2 Type II report and ISO 27001 audit reports from the Sazabi Trust Center. HIPAA safeguards are available on select plans.
Key Differences for a Log-Centered Team
Position in the flow. Mezmo works on data in motion: filter, mask, sample and route before anything is stored. Sazabi works on data at rest: it holds the logs, watches them and answers questions. If your main cost problem is how much you send to an expensive tool, a pipeline is the direct fix. If your main problem is that nobody notices failures, a pipeline alone does not fix that.
Who acts. Mezmo's governance model assumes agents may change live systems, such as a rollback, with approvals. Sazabi stops at root cause and hands off. Which is right depends on how much autonomy you want in production.
Published numbers. Sazabi lists every rate. Mezmo lists none, so cost comparison needs a sales conversation.
Cost levers. In Mezmo you cut cost by dropping data before it reaches a vendor. In Sazabi the plan includes retention, and the levers are ingest volume and how much your team scans.
When to Pick Mezmo
- You send telemetry to more than one destination and want one place to filter, mask and route it.
- You want to reduce volume before it reaches a priced-by-GB vendor.
- You want an agent harness you can run in your own environment under Apache 2.0, with approval gates before writes.
- You want live tail, replay and tail-based sampling for traces.
- You are comfortable negotiating price from volume and retention rather than reading a rate card.
When to Pick Sazabi
- You want a destination that finds and explains problems, not a pipeline you have to design.
- You want published prices you can model before talking to anyone.
- You want investigations handed to your own coding agent rather than an agent that can act on production.
- You want repository vulnerabilities filed as issues next to runtime problems.
- Your team is small and has no platform engineer to own pipeline configuration.
Trying Sazabi Alongside Mezmo
If you already run Mezmo pipelines, add Sazabi as one more destination rather than replacing anything. Mezmo documents an HTTP Endpoint destination and an OpenTelemetry destination. Sazabi accepts OTLP/HTTP at an intake URL, and it lists Fluent Bit as a source if you ship directly. This page did not test the Mezmo-to-Sazabi route end to end, so start with one low-risk service and confirm the fields arrive. For other routing tools, see the Cribl comparison and the Vector comparison.
Frequently Asked Questions
Does Mezmo publish its prices?
Not on the pricing page checked for this comparison. It says pricing is based on your data volume and retention needs, with no separate charge for AI features, and it does not list rates or plan prices.
Is Mezmo a log store or a pipeline?
Its current homepage and pricing page lead with a telemetry pipeline and a governed SRE agent. Its documentation also covers a Log Management product with ingestion, alerts and archiving, so confirm which parts your plan includes.
Can a Mezmo pipeline send logs to Sazabi?
Mezmo documents an HTTP Endpoint destination and an OpenTelemetry destination, and Sazabi takes OTLP/HTTP logs at an intake URL. The pieces exist on both sides, but this page did not test the combination end to end.
Does Sazabi take actions on production systems?
No. Sazabi investigates root cause and hands it to your coding agent through MCP, CLI or API. Mezmo describes agents that can act on live systems under policy and approval gates.
Sources
- Current positioning: governed agents for production, with Insights, Memory, Governance and Ledger (accessed Nov 8, 2026)
- What every plan includes, how pricing is calculated, no separate AI charge, no published price points (accessed Nov 8, 2026)
- Telemetry pipeline capabilities: live tail, replay, tail-based sampling, pipeline-as-code (accessed Nov 8, 2026)
- SRE agent description, AURA, MCP server, read-only defaults and bring-your-own-model support (accessed Nov 8, 2026)
- AURA is open source, written in Rust, Apache 2.0, with approval gates for writes and deployment in your environment (accessed Nov 8, 2026)
- Pipeline sources, destinations and processors, including HTTP Endpoint and OpenTelemetry destinations and the 30-day trial (accessed Nov 8, 2026)
- Log Management documentation, compliance guides and archive and restore pages (accessed Nov 8, 2026)
- Sazabi plan prices, included usage, overage rates and retention (accessed Nov 8, 2026)
- How Sazabi detects issues, investigates and alerts; BYOC announcement (accessed Nov 8, 2026)
- Sazabi takes OTLP/HTTP logs and traces at an intake URL (accessed Nov 8, 2026)