Top 7 Signoz Alternatives: Features, Pricing & Reviews

As observability becomes central to DevOps and SRE workflows, the demand for OpenTelemetry-native, full-stack, and cost-efficient observability platforms is accelerating. Signoz, a fast-growing open-source APM tool built on ClickHouse and OpenTelemetry, has seen strong adoption among engineering teams looking to avoid SaaS vendor lock-in. According to  Research and Markets, Application Performance Monitoring market grew from USD 7.02 billion in 2024 to USD 7.94 billion in 2025. It is expected to continue growing at a CAGR of 12.64%, reaching USD 14.34 billion by 2030. This growth is being driven by the rising adoption of microservices, Kubernetes, OpenTelemetry, and compliance-first DevOps practices across industries.

As engineering teams aim for unified observability across distributed systems, many early adopters of tools like Signoz are considering tools with a rich integrations ecosystem, smart sampling, and easy to learn. Signoz compared to tools like Datadog has very limited integrations which limits teams working with distributed systems that run on complex environment. Additionally, Signoz is easy to setup and get started, but requires significant expertise especially when an application scales.

CubeAPM is the best alternative to Signoz—built for teams who need cost-efficient, OpenTelemetry-native observability that scales with their infrastructure. It ingests data across the full MELT stack and supports Smart Sampling, which retains valuable anomalies while cutting telemetry waste. With pricing starting at $0.15/GB, and no fees for users, hosts, or error tracking, CubeAPM delivers 60–80% cost savings compared to legacy APMs.

In this article, we’ll break down the top 7 Signoz alternatives across these categories, starting with CubeAPM, and including leading observability platforms like Coralogix, Grafana, New Relic, and Dynatrace.

Top 7 Signoz Alternatives

1. CubeAPM
2. Coralogix
3. Datadog
4. DynaTrace
5. New Relic
6. Sumo Logic
7. Better Stack

Why Look for Signoz Alternatives?

Signoz has emerged as a strong open-source observability platform with native OpenTelemetry support, making it a compelling option for engineering teams focused on modern, self-hosted telemetry pipelines. It covers core MELT functionality (Metrics, Events, Logs, Traces), supports ClickHouse-based storage, and integrates well with Kubernetes-native environments. However, as companies grow and push more production workloads through their observability stack, several limitations of Signoz become apparent — prompting many to consider mature alternatives.

1. No Smart Sampling or Ingestion Controls

Signoz ingests 100% of all trace data, with no support for dynamic or contextual sampling (e.g., latency- or error-based prioritization). This results in large volumes of routine telemetry that contribute little to debugging but dramatically inflate storage and compute costs. Without tail-based or adaptive sampling, teams must either manually downsample data (risking critical gaps) or overprovision infrastructure. Platforms like CubeAPM offer Smart Sampling, retaining only high-value spans while reducing ingestion by up to 70% — a clear cost and signal advantage.

2. Selfhosted Overhead

As a self-hosted platform, Signoz pushes observability infrastructure costs directly onto the user. Managing high-cardinality data requires tuning ClickHouse nodes, handling backups, scaling Kafka, and dealing with out-of-memory errors under load. Many teams report that at scale, the TCO (Total Cost of Ownership) for self-hosting Signoz can exceed that of commercial APM tools, especially when factoring in engineering time and compute provisioning.

3. Limited Ecosystem and Integrations

As a newer platform, Signoz has a relatively smaller plugin/integration ecosystem. Teams looking to monitor niche services, cloud-native components, or third-party tooling may need to build custom OTEL pipelines or write adapters — increasing time to value.

4. Steep Learning Curve

While Signoz is flexible and scriptable, extracting full value requires understanding ClickHouse tuning, OTEL enrichment pipelines, and YAML-based configurations. Teams without dedicated observability engineers may struggle to optimize retention, performance, and alerting without extensive trial and error.

Criteria for Suggesting Signoz Alternatives

Source link: Reddit

1. Contextual Smart Sampling for Cost and Signal Control

Signoz ingests 100% of trace data, which can overwhelm storage and inflate infrastructure costs. Alternatives like CubeAPM use  smart sampling, retaining only high-value telemetry based on latency, error rates, or performance anomalies. This enables better signal-to-noise ratios and dramatically reduces resource usage — a must-have for scaling observability cost-effectively.

2. Operational Simplicity and Production Stability

While Signoz offers basic Helm/Docker setup, running it in production requires hands-on maintenance of ClickHouse, Kafka, and alert pipelines. Tools that abstract this complexity or offer turnkey SaaS with optimized storage pipelines help teams avoid out-of-memory issues, dashboard lag, and ingestion failures during scale.

3. Transparent and Predictable Pricing

SigNoz shifts the cost to infrastructure, which makes pricing unpredictable — especially as ingestion grows. Better alternatives provide flat-rate pricing models based on actual usage (e.g., $/GB), with no surprise costs from over-provisioning, query loads, or high-cardinality data.

4. Faster Time-to-Value with Prebuilt Dashboards

SigNoz often requires teams to create or modify dashboards and alerts manually. Ideal alternatives offer plug-and-play dashboards, service maps, and built-in SLO monitoring that minimize setup time and get teams to actionable insights faster.

5. Legacy Migration Compatibility

Tools that support drop-in replacement for agents from Datadog, New Relic, or Elastic offer smoother migration paths. Built-in OTEL compatibility, along with hybrid deployment options, ensures that both modern microservices and legacy systems can be monitored in one platform.

6. Scalable Support and Guided Onboarding

Signoz relies on GitHub issues and community Slack for support. In contrast, premium alternatives provide real-time engineering support, live onboarding sessions, and faster triage — which can be critical for high-availability systems.

Signoz Overview

Known for

Open-source, OpenTelemetry-native observability with support for metrics, traces, logs, and events. Popular among developers for its modern UI, self-hosting flexibility, and tight integration with ClickHouse.

Key Features

1. OpenTelemetry-Native Instrumentation

Built with OpenTelemetry at its core, Signoz supports standardized telemetry ingestion without vendor lock-in. It works with OTEL SDKs and supports Prometheus exporters for metrics.

2. Traces, Metrics, Logs, Events – MELT Coverage

Signoz supports core MELT components including:

• Distributed tracing
• Log search and filtering
• Infrastructure metrics
• Events for alerting

3. Self-Hosted or Cloud Deployment

Signoz can be deployed via Docker or Helm charts, making it accessible for engineering teams comfortable with Kubernetes. Cloud-hosted plans are available for teams wanting to avoid infra overhead.

4. Open UI and Dashboards

Offers prebuilt dashboards and service maps for tracing, along with Prometheus-style metric panels. Allows querying via clickhouse-like syntax.

Standout Features

• Open-source transparency with GitHub-based development
• ClickHouse-backed storage for fast analytical queries
• Single-pane interface for traces, logs, and metrics
• Slack & community support with decent documentation
• Tail-based sampling support via OpenTelemetry pipeline

Pros

• OpenTelemetry-native and vendor-neutral
• Strong community momentum (20K+ GitHub stars)
• Flexible self-hosting and Helm install options
• Query everything through unified dashboard
• Cloud offering available for faster onboarding

Cons

• No built-in smart sampling or contextual retention
• Operational complexity with ClickHouse + Kafka + Alertmanager
• Query latency and instability under high-cardinality workloads
• Limited support SLAs (TAT 1–2 days on free/community tier)

Best For

• Dev teams wanting open-source, OTEL-native observability
• Startups and mid-market orgs exploring APM without vendor lock-in
• Engineering orgs already managing ClickHouse or Kafka clusters

Pricing & Customer Reviews

• Pricing:
  • Self-hosted: Free
  • Cloud: Starts at $49/month base + $0.30/GB (log/traces ingestion)
• Infra Costs: Storage, compute, and transfer costs borne by customer in self-hosted mode
• G2 Rating: 4.5 / 5
  • Praised for: Simplicity, UI, open-source approach
  • Criticized for: Scaling limits, sampling gaps, infra overhead

Top 7 Signoz Alternatives

1. CubeAPM

Known for

A full-stack, OpenTelemetry-native APM platform focused on cost efficiency, Smart Sampling, compliance-ready hosting, and blazing-fast ingestion speeds. CubeAPM is ideal for DevOps and SRE teams who want reliable observability without overpaying or compromising on control.

Unlike legacy or open-source tools that either over-ingest or rely on rigid sampling rates, CubeAPM uses a Smart Sampling engine that applies contextual logic—such as sudden latency spikes or abnormal error rates—to retain only high-value traces. This approach preserves the most critical insights while reducing trace volume by up to 70%, directly lowering storage and compute costs. With no user-based pricing or feature gates, teams can monitor aggressively without fear of surprise bills.

Whether deployed as a managed SaaS or hosted inside your cloud for data localization compliance, CubeAPM offers the performance of Datadog, the flexibility of Grafana, and the transparency of open-source—without the operational drag or financial sprawl.

Key Features

1. Full MELT Support

CubeAPM supports Metrics, Events, Logs, and Traces natively, along with Real User Monitoring (RUM), synthetics, and error tracking—all in one unified platform.

2. Smart Sampling

Unlike Signoz, which stores all traces unless filtered manually, CubeAPM uses context-aware Smart Sampling to prioritize high-value telemetry (e.g. slow or erroring traces) and reduce noise, improving cost and visibility.

3. Compliance-Ready Hosting

CubeAPM can be deployed in your own cloud or on-premise. All telemetry is processed locally, avoiding vendor lock-in and satisfying data residency laws like GDPR and India’s DPDP.

4. 1-Hour Setup & Agent Compatibility

Supports drop-in agents from Datadog, Prometheus, OpenTelemetry, and New Relic, making migration seamless with prebuilt dashboards and auto-instrumentation.

Standout Features

• $0.15/GB data ingestion pricing—no hidden user or host fees
• AI-powered Smart Sampling for intelligent trace filtering
• Real-time Slack support directly with engineers
• Prebuilt AWS/Kubernetes dashboards with full support for EC2, EKS, Lambda, RDS, and more
• Self-hosting and cloud-hosting flexibility

Pros:

• Full-stack observability with OTEL-native ingestion
• Cost predictability with flat-rate pricing
• 2–4x faster ingestion performance
• Ideal for data localization and compliance use cases
• Works out of the box for AWS, K8s, Redis, Kafka, etc.

Cons

• Not suited for teams looking for off-prem solutions
• Strictly an observability platform and does not support cloud security management

Best for

• Engineering orgs seeking lower cost and control over telemetry
• Startups and mid-sized teams scaling fast but watching budgets

Pricing & Customer Reviews

• Pricing: $0.15/GB flat ingestion rate
• Rating: 4.7 / 5(based on pilot programs, Slack feedback, and demos)
• Praised for: Developer-friendly UX, transparent pricing, and powerful trace sampling
• Criticized for: Currently growing ecosystem (fewer marketplace plugins vs. Datadog)

CubeAPM vs Signoz

While Signoz provides a free self-hosted OTEL-first experience, CubeAPM goes beyond with Smart Sampling, full MELT coverage, data localization, and no operational burden. It also avoids ClickHouse-related overhead and supports flexible deployment—making it more production-ready and scalable than Signoz for modern teams.

2. Dynatrace

Known for

An AI-powered enterprise observability platform with deep-rooted infrastructure monitoring, application security, and real-time analytics. Dynatrace is known for its full-stack automation and Davis AI engine, making it a favorite for large enterprises with complex microservices and cloud-native workloads.

Key Features

1. Davis AI Engine

Dynatrace uses a proprietary AI engine to detect anomalies, reduce alert fatigue, and auto-discover root causes in highly dynamic environments.

2. OneAgent Deployment

Single-agent deployment auto-discovers all services and dependencies, reducing manual configuration across containers, hosts, and serverless workloads.

3. Security + Observability

In addition to APM and infra monitoring, Dynatrace offers runtime application protection (RASP) and vulnerability analytics, combining observability with security insights.

4. Cloud Automation

Strong integration with AWS, Azure, GCP, and Kubernetes for intelligent workload placement and auto-scaling recommendations.

Standout Features

• AI-driven anomaly detection and root cause automation
• Auto-instrumentation via OneAgent
• Built-in digital experience monitoring and session replay
• Observability + security in one pane of glass
• High granularity for distributed architectures

Pros

• Enterprise-grade scalability and resilience
• No sampling; captures 100% of transactions
• Powerful AI analytics and auto-baselining
• End-to-end visibility across infra, app, user, and cloud

Cons

• Very expensive, with pricing complexity across host units, DEM units, and log quotas
• Steep learning curve for new users
• Some organizations may not need all advanced AI features
• Vendor lock-in due to proprietary agents and formats

Best for

• Large enterprises with high observability maturity
• Teams running massive multi-cloud microservices
• Enterprises that want observability + application security in one platform

Pricing & Customer Reviews

• Pricing:$0.08/hour per 8 GiB host (~$57.60/host/month)
• G2 Rating: 4.5 / 5
• Praised for: Automation, AI capabilities, breadth of coverage
• Criticized for: High cost, complexity, and limited flexibility for smaller teams

Dynatrace vs Signoz

While Signoz is better suited for teams starting with open-source observability, Dynatrace is purpose-built for large, high-volume environments that require AI-backed root cause analysis, auto-instrumentation, and enterprise governance. However, Signoz has the advantage in simplicity, cost, and flexibility for early-stage teams.

3. Coralogix

Known for

A log-first observability platform designed for DevSecOps teams managing high-volume telemetry. Coralogix focuses on real-time stream processing, modular indexing, and pipeline-level control to reduce ingestion and storage costs.

Key Features

1. Streama™ Architecture

Lets you ingest data without indexing everything. You can route logs directly to cold storage (like S3) and still query them when needed, reducing active storage cost.

2. Archive in Customer Cloud

Archived telemetry is stored in your own cloud account, making long-term storage cheaper. However, it introduces egress fees and compliance concerns, as data first flows through Coralogix.

3. Ingestion Control & Parsing

Granular log routing, parsing, and enrichment tools allow teams to control which logs are indexed vs streamed or archived—helping manage cost spikes.

4. OpenTelemetry Support

Supports OTEL ingestion, but requires manual enrichment and routing to unify context across traces, logs, and metrics.

Standout Features

• Smart ingestion tiering to reduce indexing/storage costs
• Route unindexed logs to your cloud via S3
• Dashboards for infrastructure, apps, and business KPIs
• Support for logs, metrics, traces (MELT) with OTEL
• SOC2, HIPAA, and GDPR-compliant deployments

Pros

• Advanced cost optimization through log routing
• Flexible pipeline configuration via Streama™
• Suitable for large log volumes and retention use cases
• Good for teams with mature log parsing needs

Cons

• Log-first approach—weaker native support for RUM, synthetics, and infra
• Data first leaves your cloud before archiving—introduces egress cost and data residency issues
• No native smart sampling or tail-based trace filtering
• Complex setup and pipeline tuning require advanced expertise

Best for

• Teams with log-heavy observability needs
• Engineering orgs that want archival control and cost management
• Enterprises dealing with cold log storage and audit retention

Pricing & Customer Reviews:

• Pricing: Three-tier plans from ~$245.55/month, billed annually
• G2 Rating: 4.6 / 5
• Praised for: Log control, Streama™ design, ingestion flexibility
• Criticized for: Fragmented MELT visibility, complex pricing, compliance gaps

Coralogix vs Signoz

While both tools support OpenTelemetry and cost control, Signoz offers unified MELT observability in a more straightforward open-source format. Coralogix, while more mature in log routing, requires deeper configuration and introduces egress and compliance tradeoffs that Signoz avoids. However, Signoz lacks the archival flexibility that Coralogix offers.

4. New Relic

Known for

New Relic is a well-established, full-stack observability platform that provides telemetry collection, analysis, and visualization across the MELT stack. New Relic is known for its all-in-one UI, instrumentation libraries, and usage-based pricing model, making it accessible but potentially expensive at scale.

Key Features

1. All-in-One Telemetry Platform

New Relic supports metrics, events, logs, and traces (MELT) in a unified UI called New Relic One. It includes dashboards, anomaly detection, service maps, and code-level insights.

3. Auto Instrumentation & APM

New Relic provides native agents and auto-instrumentation support for popular languages like Java, Node.js, Python, and Ruby, making it easy to monitor app performance with minimal setup.

4. Distributed Tracing and Service Maps

Offers detailed distributed tracing and visual service maps that help teams debug latency and dependency issues.

5. OpenTelemetry Support

Supports OTEL, but ingestion requires extra configuration, and OTEL traces may be limited in visibility compared to native agents.

6. Head-based Sampling

Uses predefined head-based sampling rates (e.g., 1%, 5%), which can miss important traces unless manually adjusted.

Standout Features

• Unified observability in a single UI
• Real-time dashboards, error tracking, and code-level diagnostics
• Alerts and anomaly detection with AI assistance
• Supports both OTEL and proprietary agents
• Integrates with cloud-native tools (e.g., AWS, GCP, Azure)

Pros

• Easy onboarding with agents and prebuilt integrations
• Comprehensive visibility from backend to frontend
• Good support for infrastructure and application monitoring
• Strong documentation and support ecosystem

Cons

• Expensive at scale due to usage-based pricing
• Fixed sampling leads to lower signal-to-noise ratio
• Advanced features gated behind usage or enterprise tiers
• Limited control over where data is stored (no self-hosting)

Best for

• Mid-to-large teams needing fast setup and full-stack visibility
• Companies with multi-language microservices and SRE workflows
• Teams okay with SaaS-only, vendor-managed telemetry pipelines

Pricing & Customer Reviews

• Free Tier: Perpetual free tier and 100 GB/month of data ingest included.
• Ingestion based pricing of $0.35/GB + $400/user/month for full access
• G2 Rating:  4.4 / 5
• Praised for: Out-of-the-box UX, wide language support, powerful UI
• Criticized for: Pricing complexity, sampling limitations, limited control over data flow

New Relic vs Signoz

New Relic is more mature and full-featured compared to Signoz, offering comprehensive coverage and automation. However, Signoz is fully open-source, provides data control, and doesn’t require per-user billing. For organizations prioritizing simplicity and cost predictability, Signoz may offer a more transparent alternative—while New Relic appeals to teams that want depth with minimal setup friction.

5. Splunk AppDynamics

Known for

Originally developed by AppDynamics (later acquired by Cisco and now integrated under the Splunk brand), Splunk AppDynamics is a performance-driven APM platform built for enterprise workloads. It specializes in code-level diagnostics, business transaction tracing, and deep observability across hybrid, legacy, and on-prem infrastructures—making it a go-to for large, regulated industries like banking, insurance, and telecom.

Key Features

1. Business Transaction Monitoring

Unlike endpoint-centric tools, AppDynamics structures observability around business transactions—e.g., “checkout,” “order processing,” or “login flow”—making it easier for engineering and business teams to align on service health.

2. Deep Code-Level Diagnostics

AppDynamics provides stack traces, database call visibility, and execution timing breakdowns down to the line of code. This helps backend teams debug performance issues quickly in JVM, .NET, Node.js, PHP, and other runtimes.

3. Root Cause Analysis with AI

Uses machine learning to detect performance anomalies and surface the most likely root cause—correlating metrics across application layers, dependencies, and infrastructure components.

4. Hybrid Deployment Flexibility

Available in SaaS, self-hosted, or hybrid modes—AppDynamics suits enterprises with strict data residency or air-gapped requirements.

5. Full-Stack Infrastructure Integration

Now part of Splunk Observability Cloud, AppDynamics offers expanded infrastructure metrics, log enrichment, and security monitoring through tighter integration with Splunk’s platform.

Standout Features

• Transaction-based observability model aligned to business workflows
• Line-level performance tracing with real-time flamegraphs
• AI-powered root cause detection
• Support for hybrid/on-prem deployments
• Common in financial services, healthcare, telecom, and government orgs

Pros

• Enterprise-ready with strong SLAs and compliance certifications
• Mature ecosystem of integrations and agent coverage
• Highly detailed stack and database visibility
• Flexible deployment (on-prem, hybrid, SaaS)

Cons

• Expensive and modular pricing based on APM units
• UI and dashboards feel dated vs. modern, cloud-native tools
• Limited OpenTelemetry support (requires connectors or adapters)
• No smart sampling; high data volumes can drive up costs
• Complex to scale in microservices/Kubernetes environments

Best for

• Large enterprises with legacy infrastructure or compliance constraints
• Organizations needing business-transaction-level monitoring
• Teams who prioritize performance diagnostics over MELT stack unification
• Environments where SaaS-only tools are not an option

Pricing & Customer Reviews

• Pricing:$75/host/month, billed annually
• G2 Rating: 4.3 / 5
• Praised for: Deep diagnostics, deployment flexibility, business alignment
• Criticized for: High cost, aging UI, complex setup and scaling

Splunk AppDynamics vs Signoz

Signoz offers a modern, OTEL-first, self-hosted observability stack with basic alerting and metric support, while AppDynamics delivers detailed, transaction-focused monitoring with enterprise-grade performance insights. Signoz is better for cloud-native teams looking for a free, open-source, and scalable telemetry backend. In contrast, AppDynamics is ideal for enterprises with complex application topologies, strict security needs, and infrastructure that spans cloud, on-prem, and legacy systems.

6. Sumo Logic

Known for

A cloud-native log management and SIEM platform with built-in APM capabilities, tailored for security-conscious organizations and DevOps teams seeking scalable log analytics.

Key Features

1.Unified Log and Metrics Platform

Sumo Logic combines log management, metrics, and security analytics into one dashboard, allowing DevSecOps teams to detect anomalies, investigate issues, and automate alerts.

2. Cloud-Native Architecture

Fully SaaS with multi-cloud support (AWS, Azure, GCP), enabling high-scale data ingestion and elastic compute—no infrastructure to manage.

3. Flexible Query Language & Dashboards

Uses its proprietary query language (LogReduce) and real-time dashboards for customizable monitoring, suitable for engineers and security analysts alike.

4. Security & Compliance Analytics

Includes compliance templates and threat detection for PCI, HIPAA, SOC2, etc.—especially useful for enterprises needing observability plus SIEM.

Standout Features

• Built-in compliance and security analytics
• Multi-tenant SaaS deployment
• Live dashboards with alerting and anomaly detection
• Scalable ingestion with cloud-native elasticity

Pros

• No infrastructure management overhead
• Deep log analytics with live query capability
• Strong integration with Kubernetes and AWS

Cons

• High costs at scale due to tiered data plans
• Proprietary language adds learning curve
• Limited support for full MELT

Best For:

• Enterprises looking for SIEM + observability in a single solution
• Teams prioritizing log analytics over trace depth
• Organizations with cloud-first architecture and no need for on-prem control

Pricing & Customer Reviews

• Pricing: $3.14 estimated per TB scan. Typically $3,000–$8,000/month for medium-scale observability use cases.
• G2 Rating:  4.2 / 5
• Praised for: Prebuilt dashboards, log depth, security integrations
• Criticized for: SaaS-only deployment, steep learning curve for queries, cost unpredictability

Sumo Logic vs Signoz

While both tools support OpenTelemetry, Signoz is a more OTEL-native, open-source solution whereas Sumo Logic is a cloud-based platform optimized for logs and SIEM use cases. Teams looking for open, low-cost observability may favor Signoz, but Sumo Logic is better suited to enterprises requiring combined log analytics + security posture with scalable infrastructure.

7. Better Stack

Known for:

A modern, developer-centric observability platform, Better Stack specializes in log management and uptime monitoring with a beautifully designed UI. Built for startups and small teams, it emphasizes ease of use, real-time alerting, and simple setup for teams needing essential observability without the complexity of full-stack APM tools.

Key Features

1. Logtail – Powerful Log Management

Centralized logging with SQL-style query capabilities and real-time tailing of logs. Built on ClickHouse, Logtail is fast and storage-efficient.

2. Better Uptime – Synthetic & Incident Monitoring

Combines uptime monitoring, incident escalation, and status pages in one service—ideal for SREs and frontend-heavy monitoring use cases.

3. Simple Alerts via Slack/Email

Provides clean, minimalistic alerting workflows that integrate with Slack, Email, and webhooks—perfect for lean teams.

4. Fully SaaS and Developer-Friendly

With no infrastructure to maintain, Better Stack is ideal for teams that want to avoid hosting complexity. Deployment typically takes minutes.

5. Logs-Only Focus (No Tracing or Metrics)

Better Stack currently does not support tracing or metrics—limiting its ability to deliver full-stack observability.

Standout Features

• Beautiful UI and intuitive log query experience
• Seamless integration with GitHub, Slack, and cloud services
• Best-in-class for synthetic checks, uptime, and incident alerts
• Low-latency log processing with ClickHouse backend
• Free plan for small teams with basic needs

Pros

• Extremely fast and easy to set up
• Clean dashboards and developer-friendly UX
• Ideal for frontend teams and uptime visibility
• Affordable pricing for small teams

Cons

• No tracing, metrics, or smart sampling
• Not OpenTelemetry-first
• SaaS-only with no private hosting option
• Lacks advanced APM diagnostics or MELT stack correlation

Best for:

• Startups and indie teams who want easy log aggregation + uptime monitoring
• Frontend engineers focused on incident response
• Projects without backend observability complexity

Pricing & Customer Reviews

• Pricing: Free tier available. Paid plans start around $25/month per user,with Production at $850 per month billed annually
• G2 Rating: 4.8 / 5
• Praised for: UI/UX, ease of use, speed of setup
• Criticized for: Missing APM features, lack of OTEL support, limited scalability

Better Stack vs Signoz

Better Stack offers a radically simple, beautiful monitoring experience—but lacks the deep telemetry visibility and OTEL-first architecture of Signoz. Teams looking for distributed tracing, metric correlation, or enterprise compliance will find Signoz more robust. Better Stack shines in simplicity, but not in full-stack observability.

Conclusion: Choosing the Right Signoz Alternative

As modern engineering teams evolve, it’s clear that while Signoz offers a solid open-source start, its production limitations—like lack of smart sampling, complex self-hosting, and performance bottlenecks—become barriers at scale. Teams are increasingly seeking alternatives that offer better cost efficiency, easier operations, and full MELT observability without sacrificing control.

Why CubeAPM Leads the Pack

Among all Signoz alternatives, CubeAPM stands out as a production-grade, OpenTelemetry-native platform designed for real-world DevOps and SRE teams. It combines blazing-fast ingestion, smart sampling, built-in dashboards, and full MELT coverage (APM, logs, infra, RUM, synthetics, error tracking) in one seamless experience—deployed in under an hour.

Whether you’re moving away from Signoz due to infrastructure overhead, scaling challenges, or gaps in full-stack coverage, CubeAPM offers a frictionless, cost-transparent, and compliance-ready observability solution that grows with your team—without locking you into complex operational trade-offs.