The Datadog alternative built for mobile observability

Stop settling for broad monitoring. Luciq offers specialized, agentic mobile observability. While Datadog is full-stack, Luciq provides granular ANR detection and Apdex scores tailored for peak app performance.

Luciq vs. Datadog
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Intelligence that knows mobile.

Specialized AI for mobile‑first prioritization
Luciq’s AI agents prioritize critical performance issues by correlating crashes and ANRs with user context. Unlike Datadog’s broad grouping, Luciq is mobile-trained to ensure you focus on the highest-impact bugs.
Comparison graphic: New Relic out-of-the-box excellence
Business metrics that matter
Luciq ties performance metrics directly to business outcomes, providing insights into revenue at risk, conversion funnels, and retention trends. Unlike Datadog, Luciq ensures teams understand the real-world impact of app improvements on business success.
Comparison graphic: Datadog business metrics that matter
Mobile-first observability
Luciq is purpose-built for mobile teams, offering deep insights into app performance, stability and user behavior. With features like crash reporting, network monitoring, and screen load metrics, Luciq delivers data that surpasses Datadog’s generalized approach to monitoring.
Comparison graphic: Datadog mobile-first observability

Luciq vs Datadog: A deeper dive

Datadog
Test Your App Before Every Release
Bug Reporting with Repro Steps
Supported
Bug Reporting with Custom Workflows
Supported
Beta Releases Health Comparisons
Supported
Auto Rollout Stable Releases
Supported
Pause Phased Rollouts of Unstable Release
Supported
Improve App Quality and Performance
Debugging using Feature Flags and Verbose Logs
Supported
Root Cause Analysis with Smart Resolve AI
Supported
Supported
Automatic Assignment of Issues to Designated Teams
Supported
Mobile Specific Metrics such as App Hangs, Force Restarts, OOMs, Network Crashes
Supported
Debugging ANRs with Flame Graphs
Supported
Supported
Slow Screen Transitions Auto Detect
Supported
Automatic Alerts When Spikes Affect Specific Code Areas
Supported
Supported
ANR, OOM, App Hang Rates Monitoring
Supported
Apdex, Crash Free Sessions and Crash Free Users Monitoring
Supported
Supported
Customized Alerts and Integrations
Supported
Supported
Collect Actionable User Feedback
Collect Feedback After a Performance Issue
Supported
Investigate a Support Ticket using Session Replay
Supported
Supported
Debug Root Causes of Negative App Ratings
Supported
Pricing & implementation
Luciq offers predictable pricing based on daily active users and seats, plus a lightweight SDK for rapid, transparent deployment at scale.
Pricing Model
Per DAU/Seats
Per User/Ingested Data
Set-up Complexity
Low (SDK)
High (Requires full-stack setup)
Cost Predictability
High (Scales with daily active users & seats)
Low (High-watermark billing often leads to "bill shock")
Core Mobile Features Included in Base Plan
Supported
SDK Built for Minimal Performance Impact
Supported

Why Luciq works best for
mobile-first teams

Luciq works alongside the observability tools you already use, adding the mobile depth they're missing:
‍
• Align teams around one quality metric
• Identify crash frequency and severity
• Receive contextual bug reports from users
• See exactly what your users are experiencing
• Debug and monitor app ratings and reviews
• Take full control of your phased rollouts
Illustration: why Luciq works best for mobile-first teams

Real teams. Real outcomes.
Happier users.

“Luciq gives us a real-time safety net; we’re detecting and patching issues in under 30 minutes, often before our users or even our backend systems realize something is wrong."
Tommy McIntosh
Staff Platform Engineer
Before Luciq, we didn’t have a workflow. With a single centralized location for app data, developers could now quickly assess which situations needed their attention most urgently and strategize best solutions faster.
Maxime Harter
Engineering Manager
We have integrations with Luciq to manage our releases and automatically label them. Then we're able to go in very quickly and look at all the issues that were reported on that release version.
DJ Tarazona
Director of Engineering