Top 10 HyperDX Alternatives in 2026

HyperDX is a feature-packed, open-source observability tool that combines session replays, logs, metrics, traces, and errors, all built on top of ClickHouse and OpenTelemetry.

ClickHouse recently acquired the project to boost its open-source observability efforts. However, even with that momentum, HyperDX may not be the ideal fit for every team or use case.

If you're weighing your options, this guide explores 10 strong alternatives worth checking out.

HyperDX key features

HyperDX packs a lot into a single observability platform. It offers session replay to capture every user interaction, tight OpenTelemetry support for easy, vendor-neutral instrumentation, and lightning-fast log search thanks to ClickHouse’s columnar engine.

You also get unified visibility across logs, metrics, traces, and errors, plus smart log pattern recognition that helps you make sense of billions of events by grouping them into meaningful clusters.

Top 10 HyperDX alternatives in 2026

Here's how each platform measures up:

1. Better Stack

Better Stack provides comprehensive observability without the complexity of self-hosting or the limitations of session-replay-only platforms. While HyperDX requires you to manage ClickHouse deployments and storage infrastructure, Better Stack delivers the same ClickHouse performance as a fully managed service with superior operational workflows.

The platform goes beyond basic observability by including eBPF-based automatic instrumentation, AI-powered incident management with intelligent alert grouping, native Slack and Teams integration for collaborative troubleshooting, and screenshot capture for API errors that provides visual debugging context.

While HyperDX focuses on session replay and frontend monitoring, Better Stack emphasizes operational excellence with uptime monitoring, status pages, and incident response workflows that help you resolve issues faster.

🌟 Key features

• Zero-configuration eBPF instrumentation for Kubernetes and Docker environments
• Lightning-fast ClickHouse engine for instant log searches without self-hosting complexity
• Native OpenTelemetry tracing with automatic service maps
• Database auto-discovery for PostgreSQL, MySQL, Redis, Memcached, MongoDB
• Global uptime monitoring with 30-second checks and Playwright-based transaction testing
• AI SRE assistant powered by Claude Code for automated root cause analysis
• Visual "bubble up" investigation for performance bottlenecks
• Smart incident management with automated alert grouping and AI-powered workflows
• Screenshot capture for API errors providing visual debugging context
• Multi-channel notifications with rich context
• Sentry-compatible error tracking
• S3-native log storage with no hot/cold storage limitations
• Anomaly detection alerts without manual threshold configuration
• Customizable status pages with custom domain support
• SQL-queryable data warehouse

➕ Pros

• Managed service eliminating ClickHouse deployment and maintenance overhead
• Better incident management with AI-powered workflows versus basic alerting
• Screenshot capture for API errors provides visual context beyond text logs
• S3-native storage gives you data ownership without managing infrastructure
• Anomaly detection eliminates manual threshold setup
• More comprehensive uptime monitoring beyond application-focused observability
• Superior operational workflows for team collaboration during incidents
• No per-seat or per-host billing complexity

➖ Cons

• Session replay functionality for frontend user journey debugging is currently under development
• No self-hosting option, though custom VPC deployments are available for enterprise

💲 Pricing

Better Stack's pricing removes the infrastructure management burden that comes with HyperDX's self-hosted model. The free tier provides 10 monitors, status pages, 3 GB log storage, and email alerts without requiring you to set up ClickHouse clusters or manage storage backends.

At $29/month, you get unlimited phone and SMS alerts, on-call scheduling, private status pages, and 30 GB log capacity. HyperDX offers 50GB for $20/month, but that's just raw storage. You still need to handle server provisioning, ClickHouse configuration, and ongoing maintenance. Better Stack includes the full operational stack ready to use.

Telemetry bundles start at $25/month for 50GB traces, 50GB logs, and 2.5B metrics. The real difference shows when you need incident management, uptime monitoring, or status pages. HyperDX gives you the data platform. Better Stack gives you the complete solution for actually responding to and communicating about incidents.

For larger deployments, enterprise plans add SSO, compliance certifications, custom data residency, and dedicated support teams.

Check the Better Stack pricing page for complete pricing details.

2. SigNoz

SigNoz is a scalable open-source observability platform built on OpenTelemetry. It brings together APM, logs, traces, metrics, exceptions, and alerts in one place.

Key features

• Complete OpenTelemetry-native observability stack
• Unified platform eliminating the need for disparate tools (Grafana, Loki, Prometheus, Jaeger)
• Flexible querying with DIY Query Builder, PromQL, and direct ClickHouse queries
• Correlated signals providing rich debugging context across logs, metrics, and traces

Pros

• Better cost optimization with usage-based pricing vs storage-tiered models
• More mature OpenTelemetry implementation with full semantic conventions support
• Stronger enterprise features including SSO, SAML, and regional data compliance
• More flexible deployment options including managed self-hosting arrangements
• Better documentation and community support

Cons

• Missing session replay functionality
• No automatic log pattern clustering and intelligent event organization
• Less focus on frontend observability compared to full-stack session correlation

3. Highlight.io

Highlight.io provides a modern approach to full-stack observability by integrating session replay with robust monitoring tools. Now part of LaunchDarkly, it aims to help teams understand what’s happening, why it’s happening, and how users are affected.

Its biggest strength is session replay, paired with detailed error tracking and logs. This lets you catch hard-to-reproduce bugs and see how users interact with your app in real time.

Key features

• High-fidelity session replay with console and network recording capabilities
• Comprehensive session search with powerful privacy controls and data masking
• Custom error grouping with customizable alerting rules powered by OpenTelemetry
• ClickHouse-powered logging with widespread SDK support and customizable alerts
• Distributed tracing with powerful visualization capabilities and OpenTelemetry support
• Extensive framework support for modern web technologies and development stacks

Pros

• Equivalent session replay with more comprehensive search and privacy controls
• Better customer insight features showing actual user behavior patterns vs just technical metrics
• More extensive framework support for modern web development stacks
• Good error grouping customization compared to basic error categorization
• Better integration ecosystem with issue trackers and support tools
• Self-hosting capabilities with simple Docker deployment

Cons

• Less advanced log pattern clustering and automatic event organization
• Smaller community

4. OpenObserve

OpenObserve is a modern observability platform built using Rust. It’s designed to be fast and cost-effective.

One of its biggest strengths is its ability to save money by utilizing smart storage and high data compression. It stores data in Apache Parquet format and uses the DataFusion engine to run queries directly on those files. This setup is so efficient it can return results from a massive 1-petabyte dataset in just 2 seconds.

Key features

• Rust-built architecture with DataFusion query engine for maximum performance
• Apache Parquet columnar storage with bring-your-own-bucket support (S3, MinIO, GCS, Azure)
• Stateless node architecture enabling horizontal scaling without data complexity
• Complete observability stack including logs, metrics, traces, and frontend monitoring
• Enterprise-scale deployment for Fortune 100 companies with SOC2 Type II certification
• OpenTelemetry compatibility with standard API interfaces and vendor-neutral approach

Pros

• Better performance with 1 petabyte queries returning in 2 seconds vs standard search speeds
• More flexible storage options with bring-your-own-bucket support vs managed storage lock-in
• Superior scalability through stateless architecture vs single-point dependencies
• Better resource utilization with Rust performance
• Enterprise-grade compliance with SOC2 Type II certification and Fortune 100 deployments

Cons

• No session replay capabilities for user journey tracking and frontend debugging
• Missing automatic log pattern clustering and intelligent event organization

5. Grafana Stack

Grafana Stack is a complete observability tool built on the LGTM+ stack: Loki, Grafana, Tempo, Mimir, and Pyroscope. It’s available as a fully managed cloud service or as a self-hosted solution for enterprises.

Key features

• LGTM+ Stack with specialized backends: Mimir (metrics), Loki (logs), Tempo (traces), Pyroscope (profiles)
• AI/ML powered features including adaptive telemetry and automated anomaly correlation
• Comprehensive incident response management (IRM) with on-call workflows and SLO management
• 100+ data source integrations from AWS to Zabbix with extensive plugin ecosystem
• Enterprise-grade deployment options with Grafana Cloud and self-managed Enterprise Stack
• Generous free tier: 10k metrics, 50GB logs/traces/profiles, 500 VUh k6 testing
• Advanced capabilities: frontend/application/infrastructure observability, synthetic monitoring, performance testing

Pros

• Superior visualization capabilities with advanced dashboard design and 100+ data sources
• Better enterprise features with comprehensive IRM, SLO management, and incident workflows
• More mature AI/ML capabilities including adaptive telemetry and automated cost optimization
• Broader ecosystem with extensive plugin architecture vs limited integration options
• Better performance testing integration with k6 and synthetic monitoring capabilities
• Gartner Leader recognition and 25M+ user trust

Cons

• No session replay functionality
• Missing automatic log pattern clustering and intelligent event organization

6. Uptrace

Uptrace is a tool for distributed tracing and monitoring that focuses on keeping costs low and providing a smooth developer experience. Described as "like DataDog or New Relic, but much cheaper," Uptrace has been used by engineers around the world since 2020, with over 1,000 active installations and 99.9% uptime.

Key features

• Comprehensive APM dashboard with service graphs, RED metrics, and percentile analysis
• OpenTelemetry-native platform with support for Prometheus, Vector, FluentBit, and CloudWatch
• Predictable pricing based on ingested gigabytes and active timeseries with budget controls
• Multiple deployment options: free self-hosting, managed cloud, or on-premise installation
• First month free with 1TB storage and 50,000 timeseries without requiring payment details
• Enterprise support with 16/5 availability and 80% cost savings compared to traditional solutions
• Scalable architecture accepting data from multiple sources with minimal performance overhead

Pros

• Superior cost efficiency with 80% savings and transparent pricing vs usage-based storage models
• Better deployment flexibility with free self-hosting, cloud, and on-premise options
• More predictable pricing with budget controls vs variable storage-based billing
• Simpler setup and configuration with 10-minute deployment vs complex instrumentation
• Better first-month experience with 1TB free storage without payment requirements

Cons

• Lacks session replay functionality
• Less advanced trace correlation

7. Datadog

Datadog is one of the most complete observability platforms available, offering unified monitoring across applications, infrastructure, logs, and security.

Its most significant strength is its wide range of features designed to give you complete visibility into your systems. Datadog covers everything from infrastructure and application monitoring to security and compliance.

Key features

• Complete observability platform with 750+ integrations covering infrastructure, APM, logs, and security
• Session replay capabilities with real user monitoring and synthetic testing
• Advanced security monitoring with Cloud SIEM, workload protection, and vulnerability management
• Comprehensive testing suite including synthetic monitoring, mobile app testing, and continuous testing
• Enterprise-grade features: CI visibility, incident response, workflow automation, and fleet management

Pros

• Superior comprehensive feature set with 750+ integrations vs limited integration options
• More advanced session replay with real user monitoring vs basic session recording
• Stronger enterprise features including security monitoring, CI visibility, and workflow automation
• Better testing capabilities with synthetic monitoring and mobile app testing vs basic monitoring
• Industry recognition as Forrester Wave Leader and established market presence

Cons

• Significantly higher costs with complex pricing structure
• Complex feature overwhelm requiring extensive training vs intuitive search interfaces

8. New Relic

New Relic began with application performance monitoring and has evolved into a comprehensive observability platform, offering smart insights and app-focused tools.

Its strength is combining deep technical monitoring with business analytics. From APM 360 to session replay and streaming video insights, New Relic helps teams make fast, data-driven decisions.

Key features

• Comprehensive intelligent observability platform with 50+ integrated capabilities and 780+ integrations
• Complete digital experience monitoring with browser RUM, mobile RUM, and session replay
• Advanced business observability with engagement intelligence and streaming video analytics
• Security capabilities including IAST (Interactive Application Security Testing) and Security RX
• Enterprise-grade compliance with GDPR, SOC2 Type II, FedRAMP, and ISO 27001 certifications

Pros

• Better business-focused analytics with engagement intelligence vs technical-only metrics
• More comprehensive digital experience monitoring including streaming video intelligence
• Stronger security integration with IAST and Security RX vs basic error monitoring
• Better enterprise compliance with multiple certifications (FedRAMP, SOC2, ISO 27001)
• More transparent pricing with actual usage billing vs storage-tiered models

Cons

• Higher complexity requiring more training
• No self-hosting options

9. Splunk

Splunk is one of the most established platforms for log management and observability. With the Splunk Observability Cloud, you can monitor metrics, traces, and logs in one place for a unified view of system health.

Key features

• Unified metrics, traces, and logs in a single platform
• Predictive analytics with early warning alerts before issues occur
• Real-time alerting using full-fidelity, no-sample trace data
• Synthetic monitoring for APIs, browsers, uptime, and Lighthouse performance scores
• AppDynamics integration for application performance insights
• Real User Monitoring with OpenTelemetry and core web vitals
• Built-in incident management with automated response and team collaboration

Pros

• Predictive analytics with alerts up to 30 minutes before issues arise, unlike reactive monitoring
• Enterprise-grade scalability proven to handle massive data volumes
• Comprehensive synthetic monitoring with Lighthouse scores and performance metrics
• Advanced security and compliance with SIEM integration, beyond basic monitoring
• Flexible, transparent pricing with per-host billing instead of complex storage-based models
• Broad integration ecosystem with 200+ built-in connectors and marketplace support

Cons

• No built-in log pattern clustering
• Steeper learning curve

10. Jaeger

Jaeger is a mature, open-source distributed tracing tool and a CNCF graduated project with nearly a decade of adoption. It's widely used for tracking and troubleshooting requests in microservice-based systems.

Key features

• Powerful distributed tracing with full request flow visualization
• In-depth service dependency analysis and bottleneck detection
• Native OpenTelemetry Protocol (OTLP) support with v2 architecture upgrades
• ClickHouse integration for high-performance, scalable storage
• Adaptive sampling to manage trace volume without losing visibility
• Fully open source with cloud-native design and infinite scalability
• CNCF graduated project with strong community and enterprise support

Pros

• Proven distributed tracing platform with 9 years of enterprise use
• Excellent service mapping and performance diagnostics
• Mature adaptive sampling for efficient trace management
• Backed by CNCF governance and an active open-source community
• Well-suited for Kubernetes and cloud-native environments
• Enhanced storage performance with ClickHouse backend

Cons

• Focused solely on tracing, lacking full-stack observability features
• Requires integration with other tools for complete observability

Final Thoughts

Each HyperDX alternative serves different priorities. If you need open-source tools you can self-host, SigNoz and Uptrace give you complete control over your data with active community backing.

If you want observability without the operational overhead of managing ClickHouse infrastructure, Better Stack delivers the same performance as a fully managed service. You get intelligent automation, comprehensive incident management, and a generous free tier without spending time on deployment and maintenance.

The right choice depends on whether you prefer infrastructure control or operational simplicity.

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