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Observability & Monitoring

Gigapipe

Unified polyglot observability for logs, metrics, traces, and profiles without vendor lock-in

What makes Gigapipe different

Gigapipe replaces the fragmented observability stack—where organizations juggle separate backends for logs, metrics, traces, and profiles—with a single unified engine built on ClickHouse. Rather than forcing users into vendor lock-in with proprietary query languages or closed ecosystems, Gigapipe implements drop-in API compatibility with industry-standard open-source tools: Prometheus, Loki, Tempo, and Pyroscope. This means you keep your existing Grafana dashboards and agent configurations while ditching the underlying vendor complexity.

The platform emerged from the open-source project “cLoki” (started 2018) and evolved into a production-grade alternative to expensive SaaS offerings like Grafana Cloud, Datadog, and Elastic. All observability data—logs, metrics, traces, profiles—flows into a single correlated ClickHouse dataset, eliminating data silos and enabling cross-domain queries that would require manual joins or pipeline hacks in traditional stacks. Deployment is flexible: self-hosted, on-premise, or fully managed SaaS; all backed by flat-rate pricing with no per-gigabyte metering surprises.

Pricing model

Gigapipe offers three tiers:

  • Open Source (Free): Full AGPLv3 codebase, unlimited usage, community support. Requires self-hosting and operational overhead.
  • Pro (€349/month): Fully managed SaaS. Ingestion capacity ranges from 1.5 to 15 TB/month; storage from 600 GB to 12 TB NVMe. Includes 14-day free trial, email and helpdesk support, standalone deployment. Storage is customizable on the pricing page.
  • Enterprise (Custom): High-availability multi-node clusters, custom resource allocation, dedicated SLA, premium support, and migration assistance for large-scale deployments.

The standout differentiator: flat-rate ingestion and query pricing with no metering per-event, per-GB-queried, or per-seat. Competitors like Datadog and Grafana Cloud charge by usage; Gigapipe’s model rewards high-throughput environments and removes cost uncertainty.

When it fits

  • High-volume observability: Environments shipping 5+ TB/month of telemetry benefit most from unmetered ingestion pricing.
  • Multi-tool observability: Organizations already invested in Prometheus, Loki, Tempo, or Pyroscope can migrate without rewriting agents or dashboards.
  • Vendor lock-in avoidance: Teams prioritizing data ownership and AGPLv3 transparency over proprietary SaaS features.
  • Hybrid and on-premise deployments: Support for ClickHouse and S3-compatible storage enables private-cloud or edge scenarios.
  • Cost-conscious startups: Dramatically cheaper than Datadog or Grafana Cloud for similar scale.

When it doesn’t

Gigapipe is not ideal for teams requiring fully managed, zero-operations observability with extensive third-party app integrations (Slack workflows, PagerDuty automation). It also lacks the breadth of domain-specific features (APM, RUM, synthetic monitoring) that mature Datadog or New Relic deployments provide out-of-the-box.

Inclusion criteria

Gigapipe meets all three inclusion criteria for alt-cloud.org:

  1. Transparent pricing: Published tiers with concrete numbers (€349/month Pro, TB-based ingestion limits) on https://gigapipe.com/
  2. Self-service signup: 14-day free trial available directly on the website with no sales call required.
  3. Public SLA and status page: Dedicated SLA available for Enterprise tier customers; terms and support commitments documented on the site.