HyperDX observability platform offers full-stack monitoring with built-in RUM and OpenTelemetry-based instrumentation, backed by ClickHouse for fast querying. However, teams often face added operational overhead when managing ClickHouse and telemetry pipelines.

CubeAPM is the best alternative to HyperDX for teams that want full-stack observability without operational complexity. It delivers unified monitoring with built-in RUM, logs, metrics, and traces through an OpenTelemetry-native architecture, while offering predictable ingestion-based pricing and flexible deployment options that scale cleanly as requirements grow.

In this article, we’ll break down the top HyperDX alternatives in 2025 across categories like feature depth, deployment flexibility, pricing transparency, OTEL compatibility, and support experience, starting with CubeAPM.

Top 7 HyperDX Alternatives

1. CubeAPM
2. Dynatrace
3. Datadog
4. Coralogix
5. New Relic
6. AWS CloudWatch
7. SolarWinds

Why Look for HyperDX Alternatives

1. Occasional UI Issues

Users on G2 report “occasional UI bugs,” though these are minor and quickly resolved. For teams prioritizing a flawless user experience, these glitches could disrupt workflows, especially in high-pressure DevOps environments.

As this user notes:

“occasional ui bugs, but nothing serious, and they always fix them super fast” (G2)

2. Overhead Managing ClickHouse

HyperDX relies on ClickHouse for storing and querying observability data. While ClickHouse is highly performant, teams that self-host HyperDX are responsible for operating, scaling, tuning, and maintaining the database and OpenTelemetry pipelines themselves.

Criteria for Suggesting HyperDX Alternatives

1. OpenTelemetry-Native Support

We focused on platforms that seamlessly integrate OpenTelemetry (OTEL) without requiring proprietary wrappers. This ensures a smooth migration, long-term compatibility with future updates, and the flexibility to create a custom observability pipeline.

2. Unified MELT Stack Coverage

Comprehensive observability entails capturing Metrics, Events, Logs, and Traces, ideally supplemented with Real User Monitoring (RUM), synthetic monitoring, and error tracking. We prioritized platforms that natively support these features without relying on additional integrations or third-party tools.

3. Data Residency Control & Self-Hosting

For industries with strict compliance needs, having control over data residency through self-hosting or cloud-local deployment is essential. Platforms like CubeAPM allow full control over data storage within your self-hosted environment, eliminating egress costs and potential compliance risks, unlike Datadog’s default public cloud configuration.

4. Smart Sampling & Cost Efficiency

Context-aware sampling, such as prioritizing traces based on latency or errors, is crucial for minimizing ingestion costs. 

HyperDX Overview

Known For

HyperDX is known as a developer-centric, open-source observability platform built on ClickHouse and OpenTelemetry. It’s designed to help engineering teams debug faster by unifying logs, traces, metrics, session replays, and errors in a single, easy-to-use interface—without the high cost of legacy vendors.

Standout Features

• Session Replay + Logs/Traces Correlation
• Log Pattern Clustering
• ClickHouse Backend
• Chart Builder

Key Features

• Native OpenTelemetry support for traces, logs, and metrics
• Ingest once, query everywhere design for full MELT visibility
• Session replays tied to logs and distributed traces
• Full-text log search with native JSON parsing
• Docker and Kubernetes deployment options
• Alerting and dashboards with customizable retention

Pros

• Built from the ground up with native OpenTelemetry support
• Offers unified observability: logs, traces, metrics, and session replay
• Open-source and self-hostable with Docker/Kubernetes deployment
• Transparent, usage-based pricing without seat or host licensing
• Fast and intuitive UI for engineers and dev-centric teams
• Lightweight ClickHouse backend enables affordable ingestion at scale
• Good support via GitHub, Discord, and an active open-source community

Cons

• Operational overhead, especially managing ClickHouse backend.
•  Overwhelming UI, which might impact user experience.

Best For

HyperDX is ideal for modern dev teams, startups, or SMBs looking for a fast, cost-effective observability stack that supports OpenTelemetry out of the box. It’s best suited for teams comfortable with open-source tooling and self-hosting or those trying to avoid expensive per-seat enterprise tools.

Pricing & Customer Reviews

• Free Tier: Up to 3 GB/month with 3-day retention.
• Starter Plan: $20/month includes 50 GB/month and 30-day retention.
• Enterprise Plan: Custom options with SSO, extended retention.
• G2 rating: 4.5/5
• Users praise its intuitive experience, OpenTelemetry-native design, and affordability, while criticising it for an overwhelming UI.

Top 7 HyperDX Alternatives

1. CubeAPM Overview

Known For

CubeAPM is a modern observability platform engineered for OpenTelemetry-native data ingestion, advanced sampling, and compliance-conscious deployments. It delivers real-time insights across the entire MELT stack—metrics, events, logs, and traces—while offering performance and cost advantages over legacy vendors like SolarWinds or AppDynamics.

Key Features

• Smart Sampling Engine
• Full MELT Support
• OpenTelemetry & Prometheus Native
• Compliance-Ready Deployment

Standout Features

• Consistently 60–80% lower total cost than tools like Datadog and New Relic
• Unlimited users with no license gating
• On-prem deployment for regulated industries
• Blazing-fast dashboards built for high-resolution, real-time analysis
• Slack-based support with <1-minute engineer response times

Pros

• Built natively on OpenTelemetry
• Efficient tail-based smart sampling reduces data bloat
• Unified view of all observability signals in one interface
• High performance at startup-friendly pricing
• Enterprise-grade deployment options for compliance teams
• 800+ integrations available

Cons

• Primarily for teams comfortable with self-hosting or private cloud
• Focused solely on observability—not a security or ITSM platform

Best For

• DevOps, platform engineering, and SRE teams scaling observability across services
• Regulated industries needing self-hosted, egress-free telemetry pipelines
• Organizations aiming to control costs while adopting OTEL at scale

Pricing & Customer Reviews

• Pricing: $0.15/GB ingestion; no user or host fees
• G2 Rating: 5/5
  Users consistently praise its speed, simple pricing, and responsive support from core engineers.

CubeAPM vs HyperDX

CubeAPM is a strong alternative to HyperDX for teams that want full-stack monitoring with clearer cost controls and greater enterprise deployment flexibility. While HyperDX delivers full-stack observability through a unified OpenTelemetry and ClickHouse-based architecture, CubeAPM differentiates with predictable ingestion-based pricing and flexible self-hosted or managed deployment options, making it easier to scale without added operational complexity.

2. Dynatrace Overview

Known For

Dynatrace is an enterprise-grade observability and automation platform tailored for large-scale, cloud-native, and hybrid environments. It’s especially recognized for its Davis AI engine, which powers anomaly detection, root cause analysis, and performance optimization with minimal manual input.

Key Features

• Davis AI Engine
• End-to-End Monitoring
• Deep Code-Level Tracing
• Auto-Instrumentation
• Cloud-Native Compatibility

Standout Features

• AI-powered anomaly detection and diagnostics
• Automated service discovery with zero config
• KPI tracking and SLO-based alerting
• Built-in application security monitoring for vulnerability detection

Pros

• Exceptionally strong for large-scale environments
• Accurate and automated root cause analysis
• Minimal setup required with auto-instrumentation
• Deep visibility into application and service dependencies
• Includes RUM, synthetics, and security in one stack

Cons

• High cost—based on host hours, features, and data volume
• Licensing Complexity: Costs spread across metrics, traces, logs, hosts, sessions, and DDUs—difficult to predict
• Steep learning curve and heavy setup requirements
• UI and feature depth can feel overwhelming

Best For

• Large enterprises operating complex microservices architectures
• DevOps teams that want AI-assisted diagnostics and automation
• Organizations with the budget for premium tooling and support

Pricing & Customer Reviews

• Full-Stack Monitoring: $58 /month/8 GiB host
• Infra Monitoring: $29/month/8 GiB host
• G2 Rating: 4.4/5
  Users appreciate the automation and AI features but often cite high costs and complexity as key concerns.

Dynatrace vs HyperDX

Dynatrace is an enterprise-grade observability platform with deep application, infrastructure, and digital experience monitoring, along with built-in automation and AI-assisted analysis. HyperDX offers full-stack observability through OpenTelemetry and ClickHouse, adopting a more developer-centric and flexible approach. However, Dynatrace distinguishes itself with broader enterprise capabilities and lower operational involvement at scale.

3. Datadog Overview

Known For

Datadog is a cloud-native observability platform known for its wide-ranging integrations and unified view of infrastructure, application, and user experience monitoring. It’s a go-to solution for DevOps teams needing fast time-to-insight across distributed cloud environments.

Key Features

• Infrastructure Monitoring
• Application Performance Monitoring (APM)
• Log Management
• Security and Compliance Monitoring
• RUM & Synthetics

Standout Features

• Over 900+ native integrations with CI/CD, cloud, and messaging tools
• AI-based anomaly detection via Watchdog
• Unified dashboards for metrics, traces, and logs
• SLO tracking and customizable service maps

Pros

• All-in-one platform for logs, traces, metrics, RUM, and security
• Huge integration ecosystem and fast onboarding
• Built-in alerting and anomaly detection with intelligent tuning
• Real-time visibility across global infrastructure

Cons

• Expensive and unpredictable pricing as usage scales
• Interface and configuration overload — can be overwhelming
• Steep learning curve and complexity for newcomers

Best For

• Mid-to-large cloud-native organizations that want a managed, integrated solution
• Teams prioritizing ease of setup and broad ecosystem support
• Companies willing to trade pricing flexibility for vendor convenience

Pricing & Customer Reviews

• APM (Pro Plan): $31/host/month
• Infra Monitoring(Pro Plan): $15/host/month
• Infra Cost: starting at $15/host/month
• G2 Rating: 4.4/5
  Customers appreciate the rich integrations and polished UI, but often express frustration over high costs.

Datadog vs HyperDX

Datadog offers a comprehensive, enterprise-ready observability suite with broad integrations, advanced analytics, and out-of-the-box dashboards that support large, complex environments. In contrast, HyperDX delivers unified full-stack observability built on OpenTelemetry and ClickHouse, featuring a developer-oriented workflow and flexible self-hosting options. However, it may require more setup and operational effort to achieve similar enterprise-scale visibility.

4. Coralogix Overview

Known For

Coralogix is a full-stack observability platform built for engineering teams that require granular control over log routing, indexing, and storage costs. It’s especially popular in environments with large-scale log ingestion, CI/CD pipelines, or compliance-driven telemetry workflows, thanks to its stream-first architecture and archival flexibility.

Standout Features

• Streama™ Architecture: Separates ingestion from indexing
• Customer-Controlled Archival: Long-term telemetry is archived directly to the customer’s cloud
• CI/CD and Security Integrations: Connects seamlessly with GitHub, Jenkins, and SIEM tools for release monitoring

Key Features

• Real-Time Log Processing
• Metrics and Traces via OTEL
• ML-Powered Alerts
• Indexing & Routing Rules
• GitOps-Friendly Design

Pros

• Highly customizable log routing and storage control
• Supports OpenTelemetry and Prometheus for trace and metric ingestion
• Strong integrations for CI/CD, security monitoring, and auditing
• Usage-based pricing with lower long-term storage costs via customer-controlled archives
• Ideal for cost-conscious, log-heavy environments

Cons

• Overwhelming UI hinders overall experience
• Steep learning curve for beginners

Best For

DevOps and engineering teams that handle high log volumes need custom routing for compliance or auditing, and value indexing flexibility. It’s especially useful for organizations running CI/CD workflows, log-based security visibility, or structured log pipelines.

Pricing & Customer Reviews

• Logs: $0.42/GB
• Traces: $0.16/GB
• Metrics: $0.05/GB
• G2 Rating: 4.6 / 5
  Customers highlight Coralogix’s log customization, cost control, and strong alerting, but flag its learning curve, incomplete observability coverage, and hidden network costs at scale.

Coralogix vs HyperDX

Coralogix is a full-stack observability and APM platform that supports logs, metrics, traces, and RUM, with a SaaS-based model and features designed for operating at scale. In contrast, HyperDX also provides full-stack observability using an OpenTelemetry and ClickHouse-based architecture with options for self-hosting, but teams may face more operational responsibility compared to Coralogix’s fully managed approach.

5. New Relic Overview

Known For

New Relic is a full-stack observability platform that combines APM, infrastructure monitoring, logs, real user monitoring (RUM), synthetic checks, and mobile telemetry in a single interface. Its Telemetry Data Platform (TDP) and proprietary NRQL query language make it a strong fit for teams looking to analyze large volumes of telemetry data quickly and centrally.

Standout Features

• Telemetry Data Platform (TDP): Aggregates data from OpenTelemetry, Prometheus, and New Relic
• NRQL Dashboards: Allows real-time queries and custom visualizations
• RUM & Mobile Monitoring: Tracks frontend session behavior
• Synthetics & SLOs: Built-in tools for uptime checks, synthetic journeys
• Auto-Instrumentation & Integrations: Supports auto-instrumentation for common frameworks

Key Features

• End-to-end MELT observability (metrics, events, logs, traces)
• RUM, mobile telemetry, and browser monitoring
• Alerting with anomaly detection and SLO support
• Prebuilt dashboards for popular environments
• Data ingestion from multiple telemetry sources

Pros

• Unified interface covering infrastructure to frontend
• Supports OpenTelemetry and Prometheus data pipelines
• Fast setup with auto-instrumentation agents
• Powerful dashboards and alerting customization
• Extensive documentation and mature ecosystem

Cons

• High cost due to per-user licenses and data ingestion fees
• Challenges with limited features, including restricted access
• User Licenses Are Expensive: Full-access licenses start at $349/user/month
• Users find the initial setup complex, requiring significant knowledge

Best For

Mid-to-large organizations that want fast deployment, comprehensive dashboards, and out-of-the-box telemetry coverage. Well-suited for teams working with mixed workloads (web, mobile, infra) and prioritizing ease of onboarding.

Pricing & Customer Reviews

• Free Tier: 100GB/month ingested
• Data Ingestion (Pro plan): $0.40/GB ingested beyond the free 100GB limit
• Usaged Pricing (Pro Plan): $349/user for full platform user
• G2 Rating: 4.4 / 5
  Customers appreciate New Relic’s unified experience and quick time-to-value, but frequently cite concerns about cost complexity, vendor lock-in, and limited control over data hosting.

New Relic vs HyperDX

New Relic is a comprehensive, enterprise-grade observability platform with broad capabilities across infrastructure, applications, logs, and digital experience, along with strong analytics and out-of-the-box integrations. In contrast, HyperDX provides full-stack observability on an OpenTelemetry and ClickHouse-based stack with flexible deployment options, but New Relic’s richer built-in feature set and managed services can reduce operational overhead for larger teams.

6. Amazon CloudWatch

Known For

Amazon CloudWatch is AWS’s native observability service used to monitor logs, metrics, alarms, and events across cloud resources like EC2, Lambda, ECS, and RDS. It is the default choice for most teams operating inside AWS, with seamless integrations and automation hooks designed specifically for cloud-native environments.

Key Features

• Metrics Collection: Gathers system and application metrics from over 70 AWS services, with support for custom metrics and namespace-based organization.
• Log Aggregation & Analysis: Centralized ingestion of application and infrastructure logs, with SQL-like querying and filtering using Logs Insights.
• Dashboarding: Visualizes telemetry through customizable dashboards using widgets, time-series graphs, and grouped metrics.
• Alarming & Notifications: Configurable alarms based on thresholds, anomaly detection, or composite metrics that integrate with SNS, Lambda, and auto-scaling policies.
• EventBridge Integration: Sends real-time events to AWS EventBridge for routing, automation, or triggering workflows across the AWS ecosystem.
• Optional RUM & Synthetics: Provides Real User Monitoring and synthetic canary testing for frontend availability and experience metrics (billed separately).

Standout Features

• Tight AWS Integration: Built-in support for telemetry from services like EC2, S3, DynamoDB, and Lambda, with no extra setup.
• Contributor Insights: Helps detect top contributors to latency spikes or error rates, such as a noisy IP or misbehaving API endpoint.
• Application Signals (APM-lite): Offers lightweight distributed tracing for some AWS-native services (e.g., Lambda, API Gateway).
• IAM-Based Access Controls: Uses AWS Identity and Access Management for fine-grained, role-based data access.
• Event-Driven Automation: Connects metrics and logs with infrastructure actions via CloudWatch alarms and EventBridge.

Pros

• Seamless native monitoring for AWS services
• Highly scalable with strong SLAs
• IAM support for granular user/data access
• Event-driven automation capabilities
• Requires no agents for many AWS-native resources

Cons

• Complex User Interface
• High Costs at Scale
• Steep Learning Curve
• UI is slow, especially with large datasets

Best For

Teams deeply embedded in AWS infrastructure who require basic telemetry, alerting, and automation, but don’t need full-stack tracing, frontend replay, or OpenTelemetry-first workflows.

Pricing & Customer Feedback

• Logs Ingestion: $0.50/GB
• Logs Storage: $0.03/GB/month
• Custom Metrics: $0.30/metric/month (first 10,000)
• Application Signals (APM-lite): Starts at $0.35/GB for first 10TB
• RUM: ~$1 per 100,000 events
• Synthetics: $0.0012/run
• G2 Rating: 4.5 / 5
• Praised For: Reliability, deep AWS integrations, automation hooks
• Criticized For: Billing complexity, sluggish UI, and limited front-end or full-stack visibility

Amazon CloudWatch vs HyperDX

Amazon CloudWatch is AWS’s native monitoring and observability service that tightly integrates with AWS infrastructure and services to collect metrics, logs, and events with built-in dashboards and alerts. In contrast, HyperDX provides full-stack observability with OpenTelemetry and ClickHouse-based storage and flexible deployment options, which can offer broader non-AWS ecosystem support but may require more setup and operational management compared with CloudWatch’s managed, AWS-centric experience.

7. SolarWinds

Known For

SolarWinds is a long-standing vendor in IT monitoring and infrastructure management, recognized for its deep capabilities in network performance, server health, and database diagnostics. It’s widely used by enterprises, government agencies, and regulated industries for monitoring traditional environments through tools like Network Performance Monitor (NPM), Server & Application Monitor (SAM), and the broader SolarWinds Observability suite. Its strength lies in on-premise and hybrid infrastructure visibility, backed by decades of enterprise IT adoption.

Key Features

• Infrastructure & Network Monitoring: Products like NPM and SAM provide detailed insight into server uptime, hardware metrics, bandwidth usage, and SNMP-based network visibility.
• Database Performance Analyzer (DPA): Specialized database monitoring for Oracle, MSSQL, and MySQL with visual query plans, wait-time analysis, and historical performance tracking.
• IT Service Management (ITSM): Includes built-in helpdesk workflows, ticket routing, SLA monitoring, and technician workload tracking through its Service Desk product.
• Incident Management & Alerting: Offers centralized alert rules, role-based notifications, and integrations with tools like Microsoft Teams and Slack for real-time escalation.
• Self-Hosted Deployment: Full on-premise install options for organizations requiring air-gapped, compliance-ready setups—appealing to sectors with strict data sovereignty mandates.

Standout Features

• Modular Suite of Tools: Covers everything from monitoring and service desk to incident response and database health.
• Network-Centric Capabilities: Mature SNMP monitoring, NetFlow traffic analysis, and network topology mapping.
• Hybrid Visibility: Designed to monitor both cloud and legacy infrastructure in mixed environments.
• Custom Dashboards & Reporting: Allows threshold-based alerts, baseline comparisons, and detailed usage reporting.
• ITSM + Observability Integration: Brings asset tracking and incident workflows under the same umbrella.

Pros

• Strong visibility into traditional IT infrastructure and hybrid networks
• Wide toolset covering monitoring, ITSM, databases, and ticketing
• On-premise deployment options for compliance and data control
• Mature SNMP and NetFlow tools for detailed network analytics

Cons

• High operational overhead — managing different modules (e.g., SAM, NPM, DPA) means a complex setup and siloed data.
• Pricing is modular and opaque — costs escalate quickly as modules, nodes, and users are added.
• Overwhelming UI — many users report that the interface is cluttered and unintuitive.

Best For

Enterprises with large-scale, on-premise infrastructure, especially in regulated industries. Ideal for teams focused on asset discovery, infrastructure health, and service desk workflows rather than unified, modern observability stacks.

Pricing & Customer Feedback

• Monitoring: $6/node/month
• Database Monitoring: $117/database/month
• ITSM: $39/technician/month
• Incident Response: $9/user/month
• Startup Estimate: ~$4,000/month for 40 nodes, 5 DBs
• Mid-size Estimate: ~$8,000/month for 150 nodes, 25 DBs, 20 techs
• G2 Rating: 4.4 / 5
• Praised for: Feature breadth, legacy infra visibility
• Criticized for: Poor UI, weak OTEL integration, high cost, slow support

SolarWinds vs HyperDX

SolarWinds is an established IT management and observability suite with strong infrastructure monitoring, network performance tools, and traditional on-premises capabilities for enterprise environments. In contrast, HyperDX delivers full-stack observability with an OpenTelemetry and ClickHouse-based architecture and flexible deployment options, which can appeal to modern cloud-native teams, while SolarWinds may be preferred by organizations with heavy on-premises infrastructure and traditional monitoring needs.

Conclusion: Choosing the Right HyperDX Alternative

HyperDX offers a solid open-source foundation with OTEL-native support, log-trace correlation, and affordable ingestion pricing—but it falls short when it comes to smart sampling, real user monitoring (RUM), synthetics, and enterprise-grade deployment flexibility. For fast-moving teams, it’s great for debugging—but not always sufficient for full production observability, compliance, or long-term scale.

Tools like CubeAPM, Dynatrace, Datadog, and Coralogix step in to fill those gaps—each with its own focus. CubeAPM leads with full MELT coverage, tail-based sampling, and compliance-ready hosting at a flat $0.15/GB. Others like New Relic and CloudWatch offer deeper integrations but introduce complexity, cost, or SaaS lock-in. If your team is outgrowing HyperDX’s limits, these alternatives offer a more scalable, feature-complete path forward.

Disclaimer: The information in this article reflects the latest details available at the time of publication and may change as technologies and products evolve.