Top Session Replay Monitoring Tools in 2025: Deep Dive into User Journey Reconstruction and Performance Diagnostics

Session replay monitoring lets teams go beyond crash reports and logs by reconstructing a user’s journey — clicks, scrolls, network calls, UI changes — to uncover why something broke or a user dropped off. It’s increasingly essential: a 2025 market report found that approximately 72% of enterprises are now using session replay tools to enhance digital experience and user behavior insights.

CubeAPM delivers session replay as part of its all-in-one observability platform, combining high-fidelity replays with backend traces, logs, and metrics in a single timeline. Teams can watch every click, scroll, or rage-click alongside network waterfalls and console errors, then pivot directly into the correlated trace or log.

In this guide, we’ll break down the top session replay monitoring tools, compare their features, highlight pros and cons, and show how pricing scales at real-world volumes.

Top 8 Session Replay Monitoring Tools in 2025

1. CubeAPM
2. Datadog
3. PostHog
4. LogRocket
5. New Relic
6. Dynatrace
7. Sentry
8. Microsoft Clarity

What is Session Replay Monitoring?

Session Replay Monitoring is a technique that captures user interactions inside an application and rebuilds them for later playback. Unlike raw logs or error reports, it shows exactly what the user saw and did—from mouse movements and clicks to form inputs, navigation steps, and even how elements rendered on the page.

Instead of recording a video, session replay tools serialize DOM snapshots, event streams, and network requests, which are then stitched together to recreate the user experience. This approach keeps data lightweight, makes playback interactive, and supports advanced features like masking sensitive fields or linking actions directly to backend traces.

This allows engineering, product, and support teams to:

• Reproduce hard-to-catch bugs without asking users for screenshots
• Investigate conversion funnel drop-offs and UX friction points
• Correlate frontend actions with backend traces, logs, and metrics
• Improve customer support by sharing replays tied to error reports

Modern session replay platforms also provide privacy and compliance features such as field masking, consent banners, and regional data storage to meet GDPR, HIPAA, and DPDP requirements.

Example: How CubeAPM Handles Session Replay Monitoring

CubeAPM embeds session replay into its observability platform, connecting frontend replays with backend traces, logs, and metrics. This means when a user hits an error, engineers can not only watch the replay but also see the correlated stack traces, network requests, and system-level metrics in the same timeline.

Privacy and compliance are core: CubeAPM supports form-field masking, selector-based redaction, and consent controls, with data residency options for GDPR, HIPAA, and DPDP. Lightweight SDKs ensure minimal client-side impact, and smart sampling keeps costs predictable even at high volumes.

Here’s how CubeAPM makes session replay effective:

• DOM & Event Capture: High-fidelity snapshots plus mutation streams for accurate playback.
• Error Correlation: Session replays linked directly to console errors, spans, and logs.
• Network Waterfall: Requests, responses, and latency visualized alongside the replay.
• User Behavior Signals: Rage-clicks, dead-clicks, and drop-off markers highlighted.
• Privacy Controls: Input masking, regional storage, and configurable retention.

Why Teams Choose Different Session Replay Monitoring Tools

1. Depth of Insights: Product Analytics vs Observability

Some teams need funnel analysis, heatmaps, and UX insights (e.g., product-led tools), while engineering orgs prefer replay tightly correlated with traces, logs, and errors (observability suites). The primary goal—conversion optimization vs faster root-cause—drives the stack choice.

2. Replay Fidelity & Accuracy (SPAs, VDOM, iFrames)

Accuracy hinges on how a tool captures DOM snapshots + mutation streams and handles SPA router changes, virtual-DOM frameworks (React/Vue), shadow DOM, iFrames, and web components. Buyers compare layout stability, CSS capture, and whether replays stay pixel-true on dynamic pages.

3. Pricing Model & Scale Behavior

Vendors bill per session, per replay, or per-GB ingestion (sometimes bundled with APM/logs). Costs diverge fast at scale—especially with high-traffic SPAs or long sessions. Teams also weigh retention tiers, sampling controls, and base platform fees to avoid runaway bills at 10TB+ monthly telemetry.

4. Implementation Overhead & Client Performance

Rollout speed and page impact matter: snippet/SDK size, async loading, CPU usage during capture, and memory footprint under stress (rapid DOM mutations, large tables, media-heavy pages). Mature SDKs expose route hooks, error hooks, and API toggles for conditional capture.

5. Correlation & Data Model (Dev/Triage Workflow)

High-leverage stacks let you jump from a replay to the exact error group, network request, or backend span, preserving trace IDs and showing a network waterfall next to the replay. Source-map support, release markers, and issue-tracker links (Jira, GitHub) cut triage time.

6. Retention, Export & Downstream Use

Organizations differ on how long they need replays. Tools vary on retention windows, export options (to object storage/warehouse), and whether you can enrich replays with user/device metadata for cohort analysis or RCA postmortems.

7. Mobile & Cross-Platform Coverage

If you ship React Native, Flutter, or hybrid apps, you’ll want first-class mobile SDKs with stable playback and crash/error correlation. On web, teams validate support for SSR/CSR apps, edge-rendered frameworks, and legacy browsers used by their customers.

Top 8 Session Replay Monitoring Tools

1. CubeAPM

Known for

CubeAPM is recognized as a modern OpenTelemetry-native observability platform that unifies logs, metrics, traces, and session replay in a single workflow. It’s especially valued for its transparent flat-rate pricing and ability to correlate frontend behavior with backend performance, helping teams quickly trace user actions all the way to system-level impact.

Session Replay Monitoring Features

• High-fidelity DOM & event capture with pixel-accurate playback for SPAs and modern frameworks
• Rage-clicks, dead-clicks, and drop-off markers highlighted directly in the replay
• Network waterfall & console logs aligned with user actions
• Privacy-first controls including CSS selector masking, input redaction, and consent modes

Key Features

• Unified telemetry (logs, metrics, traces, replays) on one platform
• 800+ integrations across cloud, infra, and application ecosystems
• Smart Sampling to control ingestion costs at scale
• Bring-your-own-cloud (BYOC) or self-hosting for regulated teams

Pros

• Transparent flat pricing ($0.15/GB) for logs, traces, and replays
• Built for scale—predictable even at 10TB+ monthly ingestion
• Lightweight SDK with minimal performance overhead
• Data residency and compliance baked in

Cons

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

Pricing

• Flat $0.15/GB for ingestion across logs, traces, and replays

CubeAPM Session Replay Monitoring Pricing at Scale

At scale, CubeAPM stays simple and predictable. For instance, a mid-sized company ingesting 10TB/month of session replays, logs, and traces would spend around $1,500/month (10,240 GB × $0.15)—with no query, retention, or egress surcharges that often inflate costs on legacy vendors.

Tech Fit

CubeAPM is best suited for fast-growing SaaS, e-commerce, and enterprise teams that want unified monitoring without surprise bills. It’s also a strong choice for regulated industries that require regional storage, BYOC/self-hosting, and built-in compliance. For teams running at scale or expanding globally, CubeAPM ensures visibility remains consistent and cost-predictable.

2. Datadog

Known for

Datadog is a leading cloud monitoring and observability platform known for its wide coverage across infrastructure, logs, APM, and security monitoring. Over the years, it has added session replay to its RUM offering, giving teams the ability to visualize frontend user sessions alongside performance metrics and backend traces. It’s widely adopted by enterprises that value breadth of features and integrations, though its complexity and pricing are common pain points.

Session Replay Monitoring Features

• Integrated into Datadog Real User Monitoring (RUM) with replays tied to performance metrics
• DOM change and event capture with playback fidelity for modern frameworks
• Session timelines enriched with console logs, errors, and network calls
• Privacy and compliance settings with input masking and regional hosting options

Key Features

• 900+ integrations across cloud, infra, and developer ecosystems
• Full-stack observability: infrastructure, APM, logs, RUM, synthetics, security
• Advanced dashboards and analytics for multi-service architectures
• Marketplace of extensions for alerting, monitoring, and reporting

Pros

• All-in-one platform with strong ecosystem integrations
• Session replays integrated with traces and logs for cross-stack analysis
• Mature dashboards and analytics with customizable views
• Strong adoption across large enterprises

Cons

• Pricing is complex and adds up quickly with scale (multiple modules billed separately)
• Steep learning curve for smaller teams
• Advanced features often locked behind higher-tier plans
• Query and retention costs can surprise at scale

Pricing

• Session Replay: $2.50 per 1,000 sessions
• Logs: starts at $0.10/GB ingested, plus retention and rehydration costs
• APM: $31 per host/month (with per-trace ingestion charges)

Datadog Session Replay Monitoring Pricing at Scale

For a company recording 1 million session replays per month, Datadog RUM pricing at $2.50 per 1,000 sessions totals $2,500/month (1,000,000 ÷ 1,000 × $2.50). Logs add another $1,024/month at $0.10/GB for 10TB (10,240 GB) of ingestion. With 40 monitored hosts at $31 each, APM costs reach $1,240/month. Altogether, this setup costs about $4,764/month, not including additional fees for retention, rehydration, or trace-based usage, which can push the total higher.

Tech Fit

Datadog is a strong fit for large enterprises and global teams that need broad coverage across infra, APM, and security in a single tool. It’s ideal for companies with complex, multi-cloud environments and deep DevOps teams that can handle its complexity. For cost-sensitive organizations or those with predictable scaling needs, Datadog’s pricing model may be harder to sustain.

3. PostHog

Known for

PostHog is an open-source product analytics and session replay platform designed for teams that want full control over their data. It’s known for combining self-hosted analytics, feature flags, A/B testing, and replays in one stack, making it a favorite among privacy-conscious organizations and engineering-driven startups. Unlike closed platforms, PostHog gives teams the option to deploy on their own infrastructure or use its managed cloud service.

Session Replay Monitoring Features

• Session recording with DOM events, clicks, and user flows across web apps
• Recordings tied to funnels, retention, and event-based analytics
• Supports filtering by user traits, cohorts, and error events
• Masking controls to protect sensitive fields and maintain compliance
• Works seamlessly with self-hosted deployments for privacy-first setups

Key Features

• Product analytics: funnels, retention, cohorts, and trends
• Built-in feature flags and A/B testing for experimentation
• Heatmaps and event visualization for UX analysis
• Open-source flexibility with plugin and API ecosystem
• Option to run self-hosted or use PostHog Cloud

Pros

• Open-source and self-hostable for maximum data control
• Combines analytics, replays, and feature flags in one tool
• Strong developer community with continuous contributions
• Cost-effective for small teams when self-hosted

Cons

• Requires engineering effort to self-host and maintain
• Fewer enterprise-ready integrations compared to FullStory or LogRocket
• Replay fidelity is good but less advanced than dedicated replay vendors
• Scaling costs in the managed cloud can increase with heavy usage

Pricing

• Free self-hosted version with all core features
• Product Analytics: From $0.00005/event
• Session Replay: Multiple resources (usage-based, billed separately)
• Error Tracking: From $0.00037/exception

PostHog Session Replay Monitoring Pricing at Scale

For a SaaS company ingesting around 90 million product events per month, PostHog’s pricing at $0.00005/event comes to about $4,500, while tracking 25,000 exceptions adds another $9 at $0.00037/exception. Factoring in session replay storage and retention, costs rise by roughly $500/month, bringing the total to around $5,000/month. This covers large-scale product analytics, error tracking, and replay usage, though final costs vary depending on replay retention policies.

Tech Fit

PostHog is ideal for startups, engineering-driven teams, and privacy-conscious organizations that want open-source flexibility and control. It’s particularly strong for companies experimenting with feature flags and A/B testing alongside analytics and replays. Enterprises needing advanced replay fidelity or plug-and-play adoption may prefer closed commercial tools.

4. LogRocket

Known for

LogRocket is widely recognized as a product analytics and session replay platform that focuses on improving user experience through detailed replays, funnels, and conversion analysis. Unlike traditional observability vendors, it emphasizes UX insights and product optimization, helping product managers and developers see exactly how users interact with their applications.

Session Replay Monitoring Features

• Pixel-perfect replays with DOM, click, scroll, and keystroke tracking
• Integrated console logs, network requests, and JavaScript errors visible during playback
• Funnels and retention analysis to spot where users drop off
• Rage-click and frustration signal detection
• Filtering and search to quickly find sessions by user ID, error, or event

Key Features

• Product analytics (funnels, retention, conversion tracking)
• Session replay tightly coupled with frontend performance metrics
• Issue tracking integrations with Jira, GitHub, and Slack
• Tools for product managers to analyze behavior alongside engineering

Pros

• Strong product analytics capabilities on top of session replay
• Intuitive UI for product and design teams
• Detailed debugging context for developers
• Solid integrations with collaboration tools

Cons

• Not a full-stack observability platform—limited backend visibility
• Pricing grows quickly with traffic and retention requirements
• Lacks advanced correlation with distributed traces or infra metrics
• Enterprise features gated behind higher tiers

Pricing

• Free Plan: $0/month, Includes 1,000 sessions/month, 1-month data retention
• Team Plan: Starting at $69/month, 10,000 sessions/month
• Professional Plan: Starting at $295/month, Adds AI-powered struggle detection, detailed product analytics

LogRocket Session Replay Monitoring Pricing at Scale

For a company recording 1 million sessions per month, LogRocket’s costs increase steeply. On the Team plan, pricing is $69 for 10,000 sessions. Scaling that up, 1M sessions would be about 100 × $69 = $6,900/month. Larger volumes are handled under the Enterprise plan, which offers conditional recording and negotiated rates, but even with volume discounts, monthly spend typically falls in the $5,000–$8,000 range.

Tech Fit

LogRocket is a strong fit for product-led SaaS companies, e-commerce platforms, and UX-driven teams that prioritize conversion optimization and user journey analysis. It’s less suited for organizations that need backend observability alongside session replay but is excellent when paired with other monitoring stacks.

5. New Relic

Known for

New Relic is a long-standing observability and APM platform that has expanded into full-stack monitoring with APM, infrastructure, logs, and session replay. It’s recognized for its unified per-GB pricing model and strong developer-friendly tooling, making it appealing to engineering teams that want flexibility and transparent ingestion costs. Its session replay is offered as part of the browser monitoring suite, integrated with error tracking and frontend performance metrics.

Session Replay Monitoring Features

• Replay sessions captured via New Relic Browser agent with DOM events and interactions
• Replays tied to JavaScript errors, performance timings, and network requests
• Ability to filter and search replays by user attributes or error type
• Privacy tools including PII masking and user consent configuration

Key Features

• All-in-one observability with APM, logs, metrics, synthetics, and replays
• Per-GB pricing across telemetry, simplifying cost forecasting
• AI-driven anomaly detection and alerts (New Relic AI)
• Dashboards and integrations with popular cloud services

Pros

• Simple per-GB pricing across telemetry types
• Session replay tightly integrated with frontend error monitoring
• Strong developer workflows with CLI, SDKs, and APIs
• Broad adoption in engineering-first teams

Cons

• Pricing can still scale steeply at high ingestion volumes
• Limited replay features compared to dedicated analytics tools like LogRocket or FullStory
• Interface can feel overwhelming for new users
• Retention windows tied to pricing tier

Pricing

• Free tier includes 100 GB/month of ingest
• $0.40/GB for all telemetry (logs, traces, metrics, replays)
• Full Plafor User: $418/user/month

New Relic Session Replay Monitoring Pricing at Scale

New Relic offers a free tier with 100 GB/month of ingest, but at larger volumes pricing is $0.40/GB across all telemetry (logs, traces, metrics, and replays). For a company ingesting 10TB/month (10,240 GB), costs reach about $4,096/month (10,240 × $0.40), after subtracting the free tier. On top of ingestion, New Relic requires at least one Full Platform User license at $418/month, which pushes the total to roughly $4,514/month. Additional users, retention, or enterprise support would raise costs further.

Tech Fit

New Relic works best for developer-driven teams, startups, and mid-sized companies that value simplicity and transparent pricing. It’s also a strong option for organizations that want to consolidate APM, logs, and frontend replays under one vendor. However, at enterprise scale, the per-GB model may require careful sampling strategies to avoid runaway costs.

6. Dynatrace

Known for

Dynatrace is known as an AI-driven observability and application monitoring platform that emphasizes automation, deep dependency mapping, and intelligent root-cause detection. Its approach goes beyond simple data collection, using the proprietary Davis AI engine to automatically surface anomalies and suggest fixes. Session replay is included as part of its Digital Experience Monitoring (DEM) suite, providing full visibility into user interactions alongside backend service health.

Session Replay Monitoring Features

• High-fidelity session replays integrated with Real User Monitoring (RUM)
• DOM event and interaction capture with smooth playback across modern web apps
• Replay linked to errors, performance timings, and backend traces
• Automatic detection of UX anomalies such as rage clicks or failed transactions
• Privacy controls for PII masking and regulatory compliance

Key Features

• AI-powered Davis engine for anomaly detection and RCA
• Automatic dependency discovery and service topology mapping
• Unified APM, infra, logs, replays, and security in one platform
• Cloud-native monitoring with strong Kubernetes and microservices support

Pros

• Strong AI-driven insights reduce manual triage
• Session replay tied into a wider DEM and APM ecosystem
• Excellent scalability for global enterprise environments
• Auto-discovery of services reduces manual instrumentation work

Cons

• High enterprise licensing costs, with less transparency than per-GB vendors
• Complexity requires skilled teams for full adoption
• AI-driven insights can sometimes feel like a “black box”
• Pricing flexibility limited compared to newer platforms

Pricing

• Full-stack Monitoring: $0.08 per hour per 8 GiB host (~$58/month/host)
• Infrastructure Monitoring: $0.04 per hour per host (~$29/month/host)
• Log Management & Analytics: $0.20/GB ingestion
• Session Replay via DEM included in RUM with usage-based pricing

Dynatrace Session Replay Monitoring Pricing at Scale

For a company ingesting 10TB/month of replays and logs plus running 200 monitored hosts, costs scale quickly. Logs at $0.20/GB total about $2,048/month (10,240 GB × $0.20). Host monitoring adds roughly $11,600/month (200 × $58). Combined with DEM and APM usage, total costs can easily exceed $15,000/month, making Dynatrace powerful but expensive for mid-sized teams.

Tech Fit

Dynatrace is best suited for large enterprises with complex, distributed environments where AI-driven RCA and automatic service discovery deliver the most value. It’s a strong fit for global banks, telcos, and regulated industries with massive infrastructure footprints. For smaller or cost-conscious teams, however, its pricing and complexity may be overkill.

7. Sentry

Known for

Sentry is best known as a developer-first error and performance monitoring platform, widely adopted in open-source and commercial ecosystems. Initially focused on error tracking, it has expanded into application performance monitoring and session replay, making it easier for developers to reproduce bugs and understand the user journey leading up to an issue. Its strength lies in combining error context with lightweight replays directly inside developer workflows.

Session Replay Monitoring Features

• Session replay tied to error events so developers can watch what the user did before a crash
• Captures DOM changes, user interactions, console logs, and network requests
• Ability to highlight user frustration indicators like rage clicks
• Lightweight SDKs designed for quick setup in JavaScript, React, and modern frameworks
• Privacy-first design with input masking and consent controls

Key Features

• Error and exception tracking across multiple languages and frameworks
• Performance monitoring with distributed tracing support
• Integrations with GitHub, Jira, Slack, and other developer tools
• Strong open-source community and transparent roadmap

Pros

• Developer-friendly setup and open-source roots
• Session replay closely linked with error context
• Transparent pricing for smaller teams
• Strong ecosystem of integrations

Cons

• Less depth in full observability compared to CubeAPM, Datadog, or Dynatrace
• Replay features are newer and less advanced than dedicated vendors like LogRocket or FullStory
• Storage and retention windows may be limiting at enterprise scale

Pricing

• Free tier: 5,000 sessions/month with basic replay
• Logs: $0.50/GB
• Session Replay: $0.00236 per replay
• Attachments for Error Monitoring: $0.225 per GB of attachments

Sentry Session Replay Monitoring Pricing at Scale

For a company using 500,000 session replays, 10 million errors, 1 billion spans, and 1TB of attachments per month, Sentry’s costs would total about $4,039/month ($1,182 for replays, $1,361 for errors, $1,271 for spans, and $225 for attachments). This provides strong developer-centric monitoring, but pricing grows quickly as usage scales.

Tech Fit

Sentry is a great fit for engineering teams and startups that want to directly connect session replay with error tracking and performance monitoring. It’s ideal for developer-centric organizations that prioritize debugging efficiency over advanced analytics. For enterprises needing broad observability and predictable pricing at scale, Sentry may need to be paired with other tools.

8. Microsoft Clarity

Known for

Microsoft Clarity is a free analytics and session replay tool designed to help teams quickly understand user behavior without incurring additional monitoring costs. It’s best known for its lightweight setup, heatmaps, and unlimited session recordings, making it a popular choice for small to mid-sized businesses and websites that need basic insights without enterprise-level budgets.

Session Replay Monitoring Features

• Unlimited session recordings with click, scroll, and navigation tracking
• Heatmaps to visualize user engagement across pages
• Filters to search sessions by device type, country, or user actions
• Automatic detection of frustration signals like rage clicks and dead clicks
• Integrates natively with Google Analytics and other analytics platforms

Key Features

• Free forever with no session caps
• Intuitive dashboards for non-technical users
• Works well for UX and marketing teams looking at behavioral data
• Lightweight JavaScript snippet with quick setup

Pros

• Completely free with unlimited sessions and heatmaps
• Simple, fast setup for web apps and websites
• Great for high-traffic sites that need replay at scale without costs
• Provides actionable UX insights out of the box

Cons

• No backend observability or error-trace correlation
• Limited advanced analytics compared to FullStory or LogRocket
• Shorter retention and fewer privacy/compliance controls than enterprise tools
• Focused mainly on websites, less suited for complex web apps

Pricing

• Free  with unlimited sessions and heatmaps

Microsoft Clarity Session Replay Monitoring Pricing at Scale

Even at tens of millions of sessions per month, Microsoft Clarity remains completely free, making it unique among replay vendors. However, the trade-off is limited depth, fewer enterprise features, and a focus on basic UX analytics rather than full observability.

Tech Fit

Microsoft Clarity is a great fit for small businesses, content-heavy sites, marketing teams, and budget-conscious startups that need simple replay and heatmaps. It’s not designed for deep observability or enterprise compliance, but works well as a no-cost supplement alongside tools like CubeAPM or New Relic.

Conclusion

Choosing the right session replay monitoring tool depends on your team’s priorities—whether it’s deep product analytics with vendors like FullStory or LogRocket, or full-stack observability with platforms like Datadog, New Relic, and Dynatrace. Free options like Microsoft Clarity provide a low-barrier entry, while PostHog offers open-source flexibility for privacy-conscious teams.

But at scale, most organizations face two recurring challenges: cost unpredictability and lack of correlation across the stack. That’s where CubeAPM stands out. With flat $0.15/GB pricing, native OpenTelemetry support, and a unified timeline that stitches together replays, logs, metrics, and traces, CubeAPM delivers both clarity and cost control.

If your team is looking for a scalable, compliance-ready, and developer-friendly session replay solution, CubeAPM is built for you. Start today and see how CubeAPM makes every user journey visible, actionable, and affordable.