Robusta vs VictoriaMetrics

Robusta is an AI SRE offered through SaaS, a customer VPC deployment, or full self-hosting with the customer’s own LLM key. It learns an environment, groups duplicate alerts, filters noise, and surfaces new issues. When an alert arrives, its AI investigates root cause and blast radius, proposes a fix, and escalates to a human when needed. Alerts can enter through webhooks, HTTP requests, or MCP events, with listed tools including Prometheus AlertManager, Grafana, Datadog, PagerDuty, and Jira. Holmes provides native integrations for Kubernetes, OpenShift, AWS, Azure, GCP, Prometheus, Grafana, PostgreSQL, GitHub, and ServiceNow. Other sources can connect through MCP servers or HTTP APIs, including generated HTTP connectors. Customers may use their own models and API keys and disable Robusta-hosted models. The agent is read-only by default; write access for auto-remediation is optional. Queries, log lines, and conclusions are logged and replayable. Robusta says customer data is not used for model training and that it is SOC 2 compliant. Pricing is on request.

VictoriaMetrics is a time-series database and monitoring solution for collecting, querying, and retaining metrics. Its observability stack also covers logs and traces, with open-source, enterprise, and managed cloud offerings. The open-source single-node and cluster versions cost nothing. VictoriaMetrics Cloud is fully managed, with operations, automated backups, software updates, and dedicated resources; its page advertises a free 30-day trial. Cloud plans start at $200 a month for VictoriaMetrics and $200 a month for VictoriaLogs, with capacity tiers, deployment limits, and hourly usage metering. The platform supports Prometheus-compatible scraping and PromQL-compatible workflows, as well as MetricsQL. Listed ingestion options include InfluxDB line protocol, Graphite, OpenTSDB, RemoteWrite, DataDog, NewRelic, OpenTelemetry, and others. Deployment options include on-premises, hybrid, and cloud. Security features include TLS/HTTPS, JWT, LDAP, SSO, identity-provider integration, and mTLS between cluster components. Enterprise support includes technical help and guidance; community users have open-source community support options.