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Open-Source Databases · metrico

gigapipe

Gigapipe is an open-source, all-in-one observability platform that consolidates logs, metrics, traces, and profiling into a single system. It provides drop-in compatibility with Grafana, Loki, Prometheus, Tempo, and Pyroscope, allowing teams to query data using familiar languages like LogQL, PromQL, and TraceQL without vendor lock-in.

Source: GitHub — github.com/metrico/gigapipe
1.7k
GitHub stars
92
Forks
Go
Primary language
AGPL-3.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositorymetrico/gigapipe
Ownermetrico
Primary languageGo
LicenseAGPL-3.0 — OSI-approved
Stars1.7k
Forks92
Open issues1
Latest releasev4.3.0 (2026-06-29)
Last updated2026-07-08
Sourcehttps://github.com/metrico/gigapipe

What gigapipe is

Written in Go, Gigapipe implements polyglot ingestion (OpenTelemetry, Loki, Prometheus, Tempo, Pyroscope, Datadog, Elastic) and query protocols, using ClickHouse or DuckDB as storage backends with optional S3 object storage. It includes WASM-based PromQL execution, TraceQL metrics endpoints, built-in Explorer, and native Grafana datasource compatibility.

Quickstart

Get the gigapipe source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/metrico/gigapipe.gitcd gigapipe# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Self-Hosted Multi-Signal Observability

Organizations requiring full data control and avoiding vendor platforms can deploy Gigapipe on-premises to ingest and query logs, metrics, traces, and profiles in a single system.

Grafana-Native Observability Stack

Teams already using Grafana can achieve native integration without plugins by using Gigapipe as a compatible backend for Loki, Prometheus, and Tempo datasources.

Multi-Source Data Consolidation

Environments with heterogeneous instrumentation (OpenTelemetry, Prometheus, Datadog, Elastic, InfluxDB) can normalize and query all signals through unified LogQL, PromQL, and TraceQL interfaces.

Implementation considerations

  • Storage backend selection (ClickHouse vs. DuckDB) impacts scale, performance, and operational complexity; ClickHouse is production-grade but requires cluster management.
  • AGPL-3.0 copyleft terms require code publication if modified software is distributed; verify compliance requirements in your environment before customization.
  • OpenTelemetry collector integration is optional but recommended; native ingestion support reduces middleware dependencies but may require protocol-specific configuration.
  • Data model normalization across Loki, Prometheus, Tempo, and Pyroscope APIs requires understanding of each protocol's semantics to avoid query mismatches.
  • S3 storage integration supports multi-tenant or geo-distributed deployments but introduces cloud provider dependencies and data egress costs.

When to avoid it — and what to weigh

  • Managed Service Required — If operational overhead of self-hosting is unacceptable, Gigapipe's open-source deployment model requires infrastructure management; commercial hosting options appear limited in the provided data.
  • Proprietary Data Format Lock-In Preferred — Teams seeking vendor-controlled stacks with native integrations should evaluate SaaS providers rather than Gigapipe's anti-lock-in, standards-based approach.
  • Enterprise Support & SLAs Critical — AGPL-3.0 licensing and community-driven development may not satisfy enterprises requiring commercial support guarantees, indemnification, or named SLA commitments.
  • Small Scale, Single-Signal Monitoring — For simple, single-purpose monitoring (logs-only or metrics-only), the operational complexity of managing a polyglot stack may be excessive.

License & commercial use

Gigapipe is licensed under AGPL-3.0 (GNU Affero General Public License v3.0), a copyleft open-source license requiring source code publication for any modifications and distribution. This is not a permissive OSI license.

AGPL-3.0 permits internal use without source publication, but any distribution of modified Gigapipe (including SaaS offerings) triggers copyleft obligations. Commercial use is possible under AGPL-3.0 terms, but requires legal review to ensure compliance. No explicit commercial license, support agreement, or warranty is stated in the provided data; business-critical deployments should clarify support and indemnification with the maintainer (metrico).

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityModerate
DEV.co fitGood
Assessment confidenceHigh
Security considerations

Gigapipe enables data sovereignty by supporting on-premises deployment with ClickHouse or DuckDB. No security audit, vulnerability disclosure policy, or built-in encryption details are stated in the provided data. AGPL-3.0 source availability allows community review but does not guarantee secure coding practices. Ingestion of sensitive data (logs, traces) from OpenTelemetry, Datadog, and Elastic requires network isolation, authentication, and encryption in transit. S3 backend integration introduces cloud provider IAM and data exposure risks. Security posture requires independent assessment.

Alternatives to consider

Grafana Loki + Prometheus + Tempo (separate open-source components)

Modular, best-in-class implementations of each signal; no single-product lock-in; mature ecosystems. Trade-off: operational complexity managing multiple services, separate backends, and no native correlation.

SigNoz (open-source, permissive license)

APL 2.0 license (permissive), similar all-in-one positioning for logs/metrics/traces/profiling, built-in UI explorer. Trade-off: smaller community, fewer query language options, less vendor compatibility.

Managed platforms (DataDog, New Relic, Grafana Cloud, Honeycomb)

Operational simplicity, professional support, enterprise SLAs, built-in security/compliance. Trade-off: vendor lock-in, high egress costs, no data sovereignty.

Software development agency

Build on gigapipe with DEV.co software developers

Evaluate Gigapipe for your team. Review deployment architecture with our documentation, test ingestion with your current instrumentation, and assess AGPL-3.0 compliance for your use case.

Talk to DEV.co

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gigapipe FAQ

Can we use Gigapipe with our existing Prometheus and Loki setup?
Yes. Gigapipe implements Prometheus and Loki APIs natively, so existing scrape configs, clients, and Grafana datasources can point to Gigapipe without code changes. Data can be migrated or shadowed incrementally.
What is the AGPL-3.0 license impact on commercial deployments?
AGPL-3.0 permits internal commercial use without source publication. However, if you distribute modified Gigapipe (e.g., as a SaaS or embedded product), you must publish source code. Consult your legal team for compliance verification.
Do we need OpenTelemetry to use Gigapipe?
No. Gigapipe supports native ingestion for Loki, Prometheus, Tempo, Pyroscope, Datadog, Elastic, and InfluxDB. OpenTelemetry is optional but recommended for standardized instrumentation across multiple signal types.
What storage backends are supported for production?
ClickHouse (recommended for scale/performance), DuckDB (simpler, single-node), and S3 object storage (multi-tenant/geo-distributed). ClickHouse requires cluster management expertise; DuckDB is lighter but less scalable.

Work with a software development agency

Adopting gigapipe is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate open-source databases software in production.

Ready to own your observability data?

Evaluate Gigapipe for your team. Review deployment architecture with our documentation, test ingestion with your current instrumentation, and assess AGPL-3.0 compliance for your use case.