SigNoz

The open-source APM and observability platform for engineering teams

Observability / APM 4.8 / 5 Free OSS / ~$199/mo Cloud Updated Mar 2026
🇮🇳 Built in India for Global Scale

Quick Verdict

SigNoz is a brilliant Indian startup actively disrupting the global Application Performance Monitoring (APM) market. Built natively on OpenTelemetry, it is the premier open-source alternative to Datadog. For scaling Indian engineering teams tired of being blindsided by massive Datadog bills, self-hosting SigNoz provides enterprise-grade observability (unifying logs, metrics, and traces) at an absolute fraction of the cost.

Quick facts: Founded in 2020 by Pranay Prateek and Ankit Nayan · Backed by $6.65M in total funding (including a major $5.4M round from SignalFire) · Uses a highly efficient ClickHouse storage backend.

Value for Money
5.0
Feature Depth
4.5
Performance (ClickHouse)
4.7
Ease of Setup
4.0
Indian Support Timezone
5.0

What is SigNoz?

While Product Managers obsess over user behavior tools like Mixpanel, Engineering teams obsess over Observability. When an Indian consumer opens a quick-commerce app on Diwali night and the "Checkout" button takes 8 agonizing seconds to load, the user drops off. The PM sees a dip in the conversion funnel, but they cannot fix it. The Engineering team must figure out why the app was slow. Was the Razorpay payment gateway API lagging? Was the Postgres database experiencing deadlocks? Did a microservice crash and restart?

Application Performance Monitoring (APM) tools answer these exact questions. Historically, legacy giants like Datadog and New Relic monopolized this space. However, their pricing is notoriously predatory—startups frequently wake up to $20,000 monthly bills because a junior engineer accidentally left "Debug Logging" turned on over a long weekend.

SigNoz fixes this. It is a full-stack, open-source APM tool built natively on OpenTelemetry. It unifies Traces, Metrics, and Logs into a single pane of glass. Because it is open-source, an Indian startup can deploy it inside their own AWS Mumbai region, ensuring strict RBI/data localization compliance and capping their costs solely to raw AWS compute charges.

Key Features That Matter

OpenTelemetry Native

SigNoz doesn't force proprietary tracking agents on you. You instrument your Go, Python, or Node.js code once using the global OpenTelemetry standard, preventing vendor lock-in.

Unified Logs, Metrics & Traces

If you see a latency spike in a metric chart, you can click it and instantly view the exact log files and request traces associated with that specific minute. No context switching.

Distributed Tracing (Flamegraphs)

Visually map exactly how long a request spent in the Auth Service versus the Payment Database. Flamegraphs instantly highlight the specific bottleneck in a microservice architecture.

Exceptions Monitoring

Automatically captures and aggregates unhandled exceptions from your codebase, grouping similar errors together so on-call engineers aren't overwhelmed with thousands of identical alerts.

ClickHouse Storage Backend

SigNoz uses ClickHouse (a blazing-fast columnar database). This makes querying massive volumes of log data incredibly fast and highly efficient on storage costs compared to ElasticSearch.

Custom Dashboards & Alerts

Build granular dashboards tracking exact P99 latency limits. Configure alerts to ping PagerDuty or Slack the second an API drops below acceptable performance thresholds.

Pricing Breakdown (2026 INR Context)

SigNoz offers a highly disruptive pricing model that directly attacks Datadog's complex billing. Note: Converted at 1 USD = ₹84. Excludes 18% GST.

Open Source

₹0
Self-hosted forever
  • ✅ 100% free software
  • ✅ No data ingestion limits
  • ✅ Complete data privacy
  • ⚠️ You pay AWS compute/storage

Cloud Enterprise

Custom
Volume scaling
  • ✅ Advanced SSO & SAML
  • ✅ Role-Based Access Control
  • ✅ Custom data retention
  • ✅ Dedicated Slack support

Who Should Use SigNoz?

Indian startups from Seed to Series C with engineering teams operating modern microservice architectures (Kubernetes/Docker) who want to escape the vendor lock-in and extortionate pricing of legacy APM tools.

It is specifically excellent for Fintech, Healthtech, and AI companies. Because these sectors deal with highly sensitive data (PII or LLM prompt inputs), sending raw application logs to an external SaaS provider in the US is a massive security risk. Self-hosting SigNoz guarantees the data never leaves your VPC.

Who should NOT use it: Non-technical teams without DevOps resources. While the managed Cloud version is easy to set up, self-hosting the open-source version requires an engineer who understands Docker, Kubernetes, and ClickHouse maintenance.

First 5 Setup Steps for DevOps Teams

  1. Provision Infrastructure: Spin up a dedicated AWS EC2 instance (minimum 4vCPU and 16GB RAM for production). Do not run it on the same node as your primary application.
  2. Install via Docker/Helm: Run the provided SigNoz installation script to spin up the required containers (Query Service, Frontend, OpenTelemetry Collector, and ClickHouse).
  3. Instrument Your Application: Add the OpenTelemetry SDK to your backend. For languages like Java, Python, and Node.js, OpenTelemetry offers "Auto-Instrumentation" libraries that track HTTP requests without writing custom code.
  4. Route Telemetry: Point your application's OpenTelemetry exporter endpoint to the IP address of your newly deployed SigNoz instance.
  5. Configure Retention Policies: Logs consume massive amounts of storage. Configure ClickHouse TTL settings to automatically delete debug logs after 7 days, but retain high-level metrics for 90 days.

Pros and Cons

Pros

  • Massively reduces observability bills compared to Datadog's host-based pricing.
  • OpenTelemetry native; you aren't forced to use proprietary tracking code.
  • Unifies traces, metrics, and logs into a single intuitive UI.
  • ClickHouse backend makes querying terabytes of logs incredibly fast and cheap.

Cons

  • Self-hosting requires dedicated DevOps time to manage ClickHouse database upgrades.
  • Ecosystem of pre-built integrations is smaller than Datadog's massive library.
  • UI is still evolving; some advanced charting features feel slightly less polished than enterprise giants.

Is Datadog Killing Your Runway?

Stop paying premium SaaS markups for basic server logs. Our DevOps architects can help you migrate your telemetry to a secure, self-hosted SigNoz instance on your own Indian AWS infrastructure.

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