10 Best Open Source Axiom Alternatives
A curated collection of the 10 best open source and self-hosted alternatives to Axiom in 2026.
Looking for a free, privacy-friendly, or self-hosted replacement for Axiom in 2026? The top open-source alternative is SigNoz — Open-source Datadog alternative for full-stack observability.
Other highly rated open-source Axiom alternatives include HyperDX, Highlight and OpenLLMetry.
Open-source Datadog alternative for full-stack observability
SigNoz is a modern observability platform designed to simplify monitoring, logging, and tracing for applications and AI agents. Built on open standards like OpenTelemetry, it consolidates APM, logs, metrics, exceptions, and AI observability into a single tool. - Full-Stack Observability: Monitor traces, metrics, logs, and exceptions in one platform - OpenTelemetry Native: Built on OpenTelemetry standards for vendor-neutral instrumentation - AI Observability: Specialized tools for monitoring AI agents and applications - Real-Time Alerts: Configurable alerting for anomalies and critical events - Unified Dashboard: Single interface for all observability data - Usage-Based Pricing: Simple, predictable pricing model - Self-Hosting: Deploy on your own infrastructure with Self-Hosted SigNoz - Agent-Native: Optimized for monitoring AI agents and their workflows SigNoz offers both cloud-hosted and self-hosted options. The self-hosted version can be deployed using Docker, Kubernetes, or Helm charts. It supports various data sources and integrates seamlessly with existing monitoring setups. The platform is designed for scalability and can handle high-volume telemetry data from distributed systems.
Open source observability platform for logs, traces and errors
HyperDX is an open source observability platform designed to help engineering teams resolve production issues faster. It unifies session replays, logs, traces, metrics, and errors into a single interface, eliminating the need for multiple tools. - End-to-End Tracing: Automatically trace requests from browser to backend servers and async workers - Blazing Fast Search: Search terabytes of events in seconds using ClickHouse - Intuitive Search Syntax: Simple full-text search without complex syntax requirements - Automatic Pattern Clustering: Aggregate log patterns and condense billions of events into distinctive clusters - Correlated Session Replays: Link session replays with backend logs and traces automatically - Visualization Tools: Build and share intuitive charts for logs, metrics, and traces - Automatic Instrumentation: Trace logs, API requests, DB queries with minimal code - Alerts & Notifications: Get notified via Slack, Email, or PagerDuty when issues occur - Intercom Integration: Jump directly from Intercom to user sessions and logs - Live Tail: View and search log streams in real-time - Native JSON Parsing: Search and graph structured JSON logs without configuration - Vendor Agnostic: Powered by OpenTelemetry for no vendor lock-in - Agent-Free Install: No additional agents, sidecars, or containers required HyperDX is built on ClickHouse and OpenTelemetry, making it highly scalable and compatible with various deployment environments. The platform offers both cloud-hosted and self-hosted options, with automatic instrumentation supporting multiple languages including Node.js, Python, Java, Go, Elixir, and React Native. Deployment is supported on Kubernetes, AWS EC2, Vercel, Fly.io, Heroku, and Cloudflare.
Comprehensive monitoring solution offering error tracking, session replay, and performance insights for seamless debugging and optimization.
Comprehensive monitoring solution offering error tracking, session replay, and performance insights for seamless debugging and optimization.
Open-source observability for LLMs with OpenTelemetry
OpenLLMetry is an open-source observability platform designed specifically for Large Language Model (LLM) applications. It provides comprehensive tracking, monitoring, and debugging capabilities using the OpenTelemetry standard, enabling developers to gain deep insights into their LLM workflows. - LLM-Specific Instrumentation: Automatically captures and traces LLM interactions, including prompts, completions, and tool usage - OpenTelemetry Integration: Seamlessly integrates with existing OpenTelemetry-based observability stacks - Multi-Provider Support: Works with major LLM providers including OpenAI, Anthropic, Mistral AI, Cohere, and more - Multi-Platform Compatibility: Supports Python and TypeScript implementations - Trace Visualization: Provides detailed trace views for debugging complex LLM workflows - Performance Monitoring: Tracks latency, token usage, and error rates across LLM calls - Cost Optimization: Helps identify expensive LLM operations and optimize usage - Extensible Architecture: Modular design allows for custom instrumentation and extensions OpenLLMetry is open-source software that can be self-hosted. The project provides comprehensive documentation for deployment and configuration. It requires an OpenTelemetry-compatible backend for storing and visualizing traces, with support for popular platforms like Instana, Dynatrace, Grafana Tempo, Honeycomb, New Relic, Datadog, and Splunk.
eBPF-powered AI observability platform
Coroot is an eBPF-powered and AI-guided observability platform designed to provide full-stack visibility with minimal setup. It automatically collects metrics, logs, traces, and profiles across your entire infrastructure—from applications and databases to cloud and network layers—without requiring any code changes. - AI-Powered Root Cause Analysis: Instantly identifies and explains issues using complete telemetry data, acting like an experienced engineer to trace dependencies and suggest fixes. - Zero-Code Setup: Deploys with no instrumentation or configuration changes, leveraging eBPF for automatic data collection. - Full-Stack Visibility: Monitors applications, databases (PostgreSQL, MongoDB), Kubernetes, cloud services, and network components in a unified view. - Continuous Profiling: Captures performance profiles to identify bottlenecks and optimize resource usage. - Service Mapping: Visualizes service dependencies and interactions to simplify troubleshooting. - OpenTelemetry Integration: Supports OpenTelemetry standards for seamless data ingestion and compatibility. - Alerting & Insights: Converts raw telemetry into actionable alerts and recommendations. - Enterprise Edition: Offers advanced features for large-scale deployments, including enhanced security and scalability. Coroot is open-source and can be self-hosted using Docker or Kubernetes. The platform is designed for ease of deployment, with pre-built images and Helm charts available for quick setup. It supports integration with existing observability stacks and adheres to open standards like OpenTelemetry. For more details, visit the documentation or explore the GitHub repository.
AI observability platform for LLMs and apps
Pydantic Logfire is a production-grade observability platform designed specifically for AI applications, agents, APIs, and databases. Built on OpenTelemetry, it provides comprehensive monitoring across your entire stack, not just LLM calls. - Whole-App Tracing: Trace model calls, agent steps, API requests, and database queries in a single timeline - Multi-Language Support: SDKs for Python, JavaScript/TypeScript, and Rust with OpenTelemetry compatibility for other languages - Evals & Scoring: Built-in evaluation framework that runs alongside your application logic - Cost Tracking: Monitor and optimize AI application costs in real-time - PII Scrubbing: Automatic sensitive data redaction in SDKs - Postgres-Flavored SQL: Query spans directly using familiar SQL syntax - Live Debugging: Real-time monitoring of production services with error rates, latency, and traces - Self-Hosting Option: Deployable on your own infrastructure - OpenTelemetry Foundation: Built on industry-standard observability protocols - Self-Hosted Deployment: Available for on-premises or private cloud deployments - Compliance: SOC 2 Type II, HIPAA, and EU data residency compliant - Integration: Seamless integration with existing monitoring and logging systems
OpenTelemetry-native observability platform
Uptrace is an OpenTelemetry-native observability platform that unifies traces, metrics, and logs in a single platform. Built on OpenTelemetry and ClickHouse, it processes billions of spans at a fraction of the cost of traditional observability tools like Datadog or New Relic. - All-in-one observability: Unified platform for traces, metrics, and logs with no need to stitch data together manually. - OpenTelemetry-native: Ingest data from OpenTelemetry, Prometheus, Vector, FluentBit, CloudWatch, and more. - Cost-effective pricing: Pay per GB ingested and active timeseries with no per-seat fees or hidden charges. - Self-hosting: Download from GitHub and own your data completely with no feature limits. - APM & Infrastructure Monitoring: Service graphs, RED metrics, latency percentiles, and top errors with infrastructure monitoring capabilities. - Alerting & MCP: Built-in alerting and MCP (Model Context Protocol) support for AI-driven observability. - Predictable pricing: Set monthly caps to avoid billing surprises and budget effectively. - Compliance-ready: Offers on-premise installations for organizations with strict compliance requirements. Uptrace is built on OpenTelemetry and ClickHouse, offering both cloud and self-hosted options. The self-hosted version is available as a free download from GitHub, allowing users to deploy on their own infrastructure. Uptrace Cloud provides a fully managed experience with enterprise-grade support and compliance options. The platform is designed to scale from small applications to enterprise-level deployments, handling high-volume data ingestion efficiently.
Open-source observability for traces, logs & metrics
Maple is an open-source observability platform designed for modern applications. Built on OpenTelemetry and powered by ClickHouse, it enables teams to collect, visualize, and analyze distributed traces, logs, and metrics with sub-second query performance. - Unified Observability: Collect and correlate traces, logs, and metrics from all services in one platform - AI-Powered Diagnostics: Leverage AI agents to automatically analyze incidents and propose fixes - Real-Time Incident Response: Follow requests end-to-end with complete context and correlated data - Service Catalog & Maps: Visualize live request flows and service dependencies - Error Tracking: Group errors by type with trends, affected services, and sample traces - Metrics & Dashboards: Customizable dashboards for request rate, error rate, and latency percentiles - Alerting with Context: Receive alerts with attached traces, logs, and relevant context - MCP Server Integration: First-class MCP support for AI agents to interact with your observability data Maple is open-source and can be self-hosted. The platform is built on OpenTelemetry standards and uses ClickHouse for high-performance data storage and querying. Local deployment is available as a single binary for easy setup and management.
Open-source transactional email platform
Plunk is an open-source, self-hostable email platform designed for transactional emails, marketing campaigns, and automated workflows. Built with privacy in mind, it offers transparent pricing, no contact limits, and full control over your email infrastructure. - Transactional & Marketing Emails: Send both transactional emails and marketing campaigns from a single platform. - Automated Workflows: Trigger workflows based on events sent from your code, with a visual canvas for full transparency. - Inbound Email Handling: Receive emails at your domain by adding an MX record, turning replies into contacts and triggering workflows. - Unlimited Contacts: Store unlimited contacts for free; pay only per email sent ($0.001 per email). - Self-Hosting & Open Source: Fully inspectable, forkable, and self-hostable under AGPL-3.0 license. - MCP Server Integration: Connect AI agents (Claude, Cursor) to manage emails via the Model Context Protocol. - Email Editor & SMTP: Visual editor for emails or direct HTML editing, plus SMTP support for existing clients. - Analytics & Segments: Track delivery, opens, clicks, and bounces per send, with dynamic segments that update in real-time. - License: AGPL-3.0 - Hosting: EU-based cloud or self-hosted via Docker Compose - GitHub Stars: 5,000+ - Setup Time: Under 5 minutes for domain configuration and first send - Exit Strategy: Full control via Docker Compose for seamless migration away from the cloud service.
Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls.
Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls.
About Axiom
Axiom is a modern machine data platform designed for petabyte-scale, schema-less ingest on a fully managed event store. It eliminates the operational complexity and cost of running observability stacks yourself while ensuring no data is left behind.
Key Features of Axiom
- Petabyte-scale ingest: Schema-less data ingestion with 95%+ compression, keeping every log, metric, and trace.
- Fully managed: No need to stand up or maintain self-managed clusters.
- Cost-effective pricing: Pay-as-you-go model with automatic volume discounts and a permanent free tier.
- Unified query language: APL (log-friendly) and MPL (metrics-focused) for powerful, sequential processing.
- Virtual fields: Query-time transformations without upfront schema decisions.
- Splunk compatibility: Seamless integration with Splunk via the Splunk App for gradual migrations.
- Real-time dashboards & monitors: Built-in tools for observability and incident response.
- Enterprise-ready: Supports distributed tracing, OpenTelemetry, and multi-region deployments.
Tech / Self-Hosting
Axiom is a fully managed cloud service with no self-hosting option. It is designed for high availability, scalability, and security, with SOC 2 Type II and GDPR compliance. The platform is built on a purpose-built event store and metrics engine, optimized for modern infrastructure.