BITDRIFT VS. LUCIQ
The mobile observability reality check
bitdrift gives you real-time, per-device control, for full context without the hefty bill
- Real-time, on-device telemetry with per-device control, no release required
- Full crash context, not just the report
- AI agents query your live fleet directly, using your model of choice
- Open by design: no telemetry data lock-in, with flexible deployment options for data sovereignty (SaaS, BYOB, or BYOC)
- OpenTelemetry integration, so you can connect mobile sessions to your existing backend traces
- Predictable costs and reliability at scale
FEATURE COMPARISON
Feature | bitdrift | Luciq |
|---|---|---|
Telemetry model | On-device ring buffer; data retrieved on demand, not shipped by default. | Discrete SDK events, collected on-device and uploaded in batches at most once every 6 hours. |
SDK footprint | Lightweight by design at ~1MB compressed. Configured defaults of 5MB disk / 2MB RAM for log storage, with sub-millisecond log emission. | Meaningfully larger footprint (roughly 5X bitdrift’s): 5.3MB (iOS) / 4.4MB (Android) download size and 13.4MB (iOS) / 11.3MB (Android) on-device install size. Footprint expands as modules are added, meaning more code, memory, and background processing for every session. |
Sampling and session capture limits | No sampling or per-session size cap; retrieval is workflow-driven. | Each session is capped at 2MB of compressed logs plus 2MB of compressed screenshots, with a device-wide storage limit of 50MB across all cached sessions, and each upload request capped at 1MB. |
Data retention | On-device buffer, retrieved and stored based on your requirements (default is 6 months). | Varies by module: crash/ANR retention of 6 months; non-fatals: 1 month; APM: 8 weeks; session replay: 4 weeks; bug reports, surveys, and chats: 365 days. |
Real-time control | Per-device, instant, no release needed. | Modules and capture settings are set in app code via the SDK's start() call and feature-specific toggles, which require a new build to change. |
Crash diagnostics | Full pre/post crash timeline: logs, traces, session replay. | Crash and ANR capture with stack traces. |
Session replay | Lightweight, privacy-conscious wireframes reconstructed from structural session data (not screenshots or video) so there's no hard size cap. | Screen recording via SDK: captures and compresses actual screenshots frame by frame, hence the 2MB per session and 4-week retention caps. |
Data openness | OpenTelemetry trace-ID propagation allows you to correlate mobile sessions with backend distributed traces in your existing APM stack. | Visualization largely limited to Luciq's own dashboards and connectors. Export API gated to Enterprise plans; no native OpenTelemetry support. |
AI capability | Query 100% of live fleet data directly, with your agent of choice via the bitdrift Public API and CLI. | Autopilot and Companion run on Luciq’s own proprietary models; no bring-your-own-model option. |
Deployment options | SaaS, Bring Your Own Bucket, or Bring Your Own Cloud. | SaaS by default, with a Luciq-managed private cloud option for enterprise. |
Pricing model | Unlimited, full-functionality access that scales with app growth, not by seat or module. | Enterprise plan with entitlements and retention policies set module by module. |
Free tier / self serve | Sandbox and 14-day self-serve trial available. | Self-serve tier has been deprecated; POC by request only. |
Telemetry model
bitdrift
On-device ring buffer; data retrieved on demand, not shipped by default.
Luciq
Discrete SDK events, collected on-device and uploaded in batches at most once every 6 hours.
SDK footprint
bitdrift
Lightweight by design at ~1MB compressed. Configured defaults of 5MB disk / 2MB RAM for log storage, with sub-millisecond log emission.
Luciq
Meaningfully larger footprint (roughly 5X bitdrift’s): 5.3MB (iOS) / 4.4MB (Android) download size and 13.4MB (iOS) / 11.3MB (Android) on-device install size. Footprint expands as modules are added, meaning more code, memory, and background processing for every session.
Sampling and session capture limits
bitdrift
No sampling or per-session size cap; retrieval is workflow-driven.
Luciq
Each session is capped at 2MB of compressed logs plus 2MB of compressed screenshots, with a device-wide storage limit of 50MB across all cached sessions, and each upload request capped at 1MB.
Data retention
bitdrift
On-device buffer, retrieved and stored based on your requirements (default is 6 months).
Luciq
Varies by module: crash/ANR retention of 6 months; non-fatals: 1 month; APM: 8 weeks; session replay: 4 weeks; bug reports, surveys, and chats: 365 days.
Real-time control
bitdrift
Per-device, instant, no release needed.
Luciq
Modules and capture settings are set in app code via the SDK's start() call and feature-specific toggles, which require a new build to change.
Crash diagnostics
bitdrift
Full pre/post crash timeline: logs, traces, session replay.
Luciq
Crash and ANR capture with stack traces.
Session replay
bitdrift
Lightweight, privacy-conscious wireframes reconstructed from structural session data (not screenshots or video) so there's no hard size cap.
Luciq
Screen recording via SDK: captures and compresses actual screenshots frame by frame, hence the 2MB per session and 4-week retention caps.
Data openness
bitdrift
OpenTelemetry trace-ID propagation allows you to correlate mobile sessions with backend distributed traces in your existing APM stack.
Luciq
Visualization largely limited to Luciq's own dashboards and connectors. Export API gated to Enterprise plans; no native OpenTelemetry support.
AI capability
bitdrift
Query 100% of live fleet data directly, with your agent of choice via the bitdrift Public API and CLI.
Luciq
Autopilot and Companion run on Luciq’s own proprietary models; no bring-your-own-model option.
Deployment options
bitdrift
SaaS, Bring Your Own Bucket, or Bring Your Own Cloud.
Luciq
SaaS by default, with a Luciq-managed private cloud option for enterprise.
Pricing model
bitdrift
Unlimited, full-functionality access that scales with app growth, not by seat or module.
Luciq
Enterprise plan with entitlements and retention policies set module by module.
Free tier / self serve
bitdrift
Sandbox and 14-day self-serve trial available.
Luciq
Self-serve tier has been deprecated; POC by request only.
WHEN TO CHOOSE BITDRIFT VS. LUCIQ
Choose bitdrift if...
- Observability for mobile and edge devices is critical to your business, and you want unsampled, full-resolution observability across 100% of your fleet.
- You need flexibility in AI model choice and deployment path to balance needs for operational simplicity, infrastructure control, and data and AI governance.
- You want mobile sessions to connect to the backend observability tooling you already use.
- You want simple, predictable pricing that scales with your app, not a plan that nickel-and-dimes you for every capability and user.
Choose Luciq if...
- Bug reporting and beta tester feedback are your primary need.
- Sentiment and survey info matter as much to you as technical crash context.
How does pricing compare?
bitdrift's pricing model is built around predictability: no event quotas, no overage charges, and a sandbox or trial you can start without a sales call. bitdrift charges per active application with no ingestion-based pricing, unlimited, full-functionality access within your org, so cost tracks your growth, not how many people on your team need a login. See what’s included on our pricing page.
Luciq markets "one transparent plan," priced on daily active users and seats. In practice, entitlements and retention are set module by module; crash data, APM, session replay, surveys, and chat each carry their own limits. There's no self-serve tier, and teams with large or fast-growing user bases run into the same fixed session and storage limits as smaller ones. The practical cost of getting full context rises with scale.
Other frequently asked questions
Ask a questionBoth platforms market full, unsampled session capture. The real difference is architecture and cost: bitdrift's on-device ring buffer and real-time control plane let you retrieve exactly what you need, instantly, without shipping everything by default. Luciq captures and streams every session continuously, which is also what drives up its daily-active-user pricing.
bitdrift's ring buffer and control plane are built to give you targeted, on-demand retrieval rather than paying to capture and store everything continuously. Talk to our team about how retention and retrieval work for your specific traffic patterns.
Yes, Luciq is the current name for the platform previously known as Instabug.
Luciq markets Autopilot and Companion as agentic capabilities, but both run only on Luciq's own proprietary models, with no option to bring your own. Reviewer feedback on these features is mixed, and worth evaluating directly for your use case. bitdrift's AI agents are built to query live fleet data directly, with the model your team already uses (Claude, Copilot, Cursor, or Codex) via the open agentskills.io standard, with customers like ThredUp and Favor Delivery validating these claims.
Because Luciq uploads captured data in batches at most every 6 hours rather than streaming continuously, any interruption before the next scheduled batch can leave a gap in what's captured. This risk grows as user volume and session count increase.
Luciq's export API is limited to Enterprise-plan customers, and its published integrations don't include native OpenTelemetry support, so most teams end up working within Luciq's own dashboards. bitdrift supports OpenTelemetry trace-ID propagation, so mobile sessions can be correlated with backend distributed traces in the APM tooling you already use.
In most competitive situations, yes. bitdrift gives teams a single source for crash context, session replay, real-time control, and AI-driven investigation, which is why some teams choose to consolidate.
