Causely vs Saneops
Causely
causely.ai
Saneops
saneops.inSide by side
| Figure | Causely | Saneops |
|---|---|---|
| Price from | $2,000/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · AIOps Platforms | 8.5 (#3) | 8.1 (#5) |
| Deployment | The documentation lists Kubernetes, Docker, and other environments for deploying the mediator; the maker also describes hybrid SaaS and bring-your-own-cloud options. | Saneops offers a hosted cloud service and a self-hosted Docker image; the site says the self-hosted option can run air-gapped. |
| Integrations | The supported technologies page lists 73 technologies, including agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. | The site lists Grafana, Datadog, PagerDuty, Prometheus, Slack, Microsoft Teams, OpsGenie, Zenduty, Claude, OpenAI, Ollama and generic webhooks. |
| Intended users | Causely says it is for teams building or running operations agents and for SRE and platform teams responsible for reliability. | The maker describes Saneops as built for organizations with 50–500 engineers that cannot justify a dedicated AIOps team. |
| Support | The Professional plan includes a dedicated Slack or Teams channel for ad-hoc help with best-effort response times. | The FAQ says critical business-hours issues receive a response in under an hour and off-hours issues the same day. |
Plans
In their own words
Causely
Causely gives operations agents a live causal model of a system to help diagnose incidents and act proactively. Its causal inference identifies upstream causes behind cascading symptoms and is described as deterministic and explainable. Agents can traverse the causal graph to assess blast radius and compare behavior before and after deployments; they connect to the model through MCP. Causely ingests traces, metrics, logs, and alerts from existing observability tools, with OpenTelemetry, Datadog, and Prometheus named as examples. Its supported technologies include agents, telemetry sources, installation options, and workflow destinations such as Slack and Microsoft Teams. Deployment options include Kubernetes, Docker, hybrid SaaS, and bring-your-own-cloud. Causely says raw source data remains in the customer environment while distilled symptom state goes to its SaaS backend. BYOC can keep the entire application in the customer environment, including in air-gapped deployments. Professional Edition is $2,000 a month and covers up to 500 services, with 30 days of data retention and standard hybrid deployment. Enterprise pricing is custom.
Saneops
Saneops is an AIOps platform for DevOps and SRE teams that correlates and deduplicates alerts and drafts root-cause analyses for incidents. It groups alerts by time window and label similarity, with thresholds adjustable for each tenant. Matching payloads are deduplicated using content hashes, and CEL-based rules can drop known-noise alerts. For incident analysis, teams can provide their own Claude, OpenAI, or Ollama keys. Listed integrations include Grafana, Datadog, PagerDuty, Prometheus, Slack, Microsoft Teams, OpsGenie, Zenduty, those LLM services, and generic webhooks. Saneops offers hosted cloud use and a self-hosted Docker image that can run air-gapped. The maker says self-hosted alert data stays within the customer's network and secrets are encrypted at rest; listed controls include bcrypt passwords, tenant isolation, and rate limits. The free tier includes 1,000 alerts per month without a credit card. A separate closed beta gives ten design partners the full product free for 60 days in exchange for feedback and a weekly 30-minute sync. Post-beta pricing has not been finalized.