AI visibility report
Better Stack ranks #7 in Observability & Monitoring AI search.
Outside the top three on 20 of the 25 prompts buyers actually ask.
Datadog is cited on 9 of those losses.
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Start free trial#7 among 14 vendors · still absent from 93.3% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
ChatGPT
Perplexity
Grok
Gemini Search
Google AI Mode
Bing CopilotVisible, but narrative can improve. Better Stack ranks #7 on presence but #11 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.
Where Better Stack is losing
Prompts where competitors are visible and Better Stack is not.
These prompt-level losses are the first prompts to track and repair.
Where Better Stack is winning3
Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?
Avg # 1.0 · 1 platform
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?
Avg # 1.0 · 1 platform
Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification?
Avg # 11.5 · 2 platforms
Where Better Stack is losing5
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?
Competitors on 4 platforms
Track this promptWhich APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?
Competitors on 3 platforms
Track this promptWhich observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?
Competitors on 2 platforms
Track this promptWhich monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?
Competitors on 2 platforms
Track this promptI'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?
Competitors on 2 platforms
Track this prompt
Track Better Stack daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Better Stack is a Prague-based, AI-native observability and incident management platform founded in 2021 by Juraj Masar and Veronika Kolejak. The platform unifies log management, distributed tracing, infrastructure monitoring, uptime monitoring, incident management, status pages, error tracking, real user monitoring, and a time-series data warehouse into a single managed SaaS product. Built on eBPF-based OpenTelemetry instrumentation and powered by ClickHouse, Better Stack positions itself as up to 30x cheaper than Datadog with SQL-first querying, Figma-like collaborative dashboards, and an agentic AI SRE for root cause analysis. The company serves 200,000+ developers and 4,000+ customers globally, has raised $28.6M, and became profitable in 2023.
Better Stack is a unified, AI-native observability platform offering eBPF-based distributed tracing, log management, infrastructure monitoring, uptime and synthetic monitoring, incident management, on-call scheduling, status pages, error tracking, real user monitoring, and a time-series data warehouse—all accessible through SQL, PromQL, or a drag-and-drop interface, with an agentic AI SRE for root cause analysis and a robust MCP server for LLM integration.
Key Facts
- Founded
- 2021
- HQ
- Prague, Czech Republic
- Founders
- Juraj Masar, Veronika Kolejak
- Employees
- ~32
- Funding
- $28.6M
- Customers
- 4,000+ customers; 200,000+ developers
- Status
- Private
Target users
Key Capabilities10
- eBPF-based OpenTelemetry-native distributed tracing with zero code change
- AI SRE agent for agentic root cause analysis (Slack-native)
- Unified log management with SQL, PromQL, and drag-and-drop querying
- Infrastructure monitoring with anomaly detection and Prometheus-native metrics
- Uptime monitoring with Playwright-based transaction checks and MTR diagnostics
- Incident management with on-call scheduling, smart merging, and AI post-mortems
- Branded status pages with subscriber notifications and multi-language support
- Real user monitoring with session replay, web vitals, and product analytics funnels
- Sentry SDK-compatible AI-native error tracking
- Time-series data warehouse as an API with petabyte-scale SQL and vector embeddings
Key Use Cases8
- Replacing Datadog or New Relic with a cost-effective unified observability stack
- Incident response and on-call management for SRE and DevOps teams
- Log aggregation and querying across microservices and cloud infrastructure
- Uptime and synthetic monitoring for public-facing web applications and APIs
- Distributed tracing and service dependency mapping for cloud-native applications
- Customer-facing status page communication during outages
- Error tracking and alerting for production applications
- Frontend performance monitoring and session replay for product teams
Recent Trend
How AI describes Better Stack3
...clickhouse.com/resources/engineering/best-open-source-observability-solutions) : Platforms built on ClickHouse (e.g., Better Stack or self-hosted ClickHouse) are ideal for fast ad-hoc analytical queries (e.g., `GROUP BY` user\_id) on large, high-cardi...
Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates?
...and on-call scheduling tools for a seamless workflow include Datadog , Grafana (with Grafana OnCall) , and Better Stack . These tools prioritize reducing the gap between detecting an issue and initiating a response, frequently utilizing C...
Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?
Better Stack (Best for Simplicity) * Why it's fast: Designed to be extremely easy to set up for log management, infrastructure monitoring, and uptime checks.
Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?
Most cited sources8
129 Best Real User Monitoring Tools in 2026 | Better Stack Community
betterstack.com·Comparison
- 6
Datadog vs Elastic Observability: A Complete Comparison for 2026 | Better Stack Community
betterstack.com·Comparison
- 5
Datadog
betterstack.com·Comparison
- 5
Best 12 On-Call Management Tools for 2026 | Better Stack Community
betterstack.com·Comparison
- 3
Datadog vs Grafana Cloud: A Complete Comparison for 2026 | Better Stack Community
betterstack.com·Comparison
- 2
New Relic vs Honeycomb: A Complete Comparison for 2026 | Better Stack Community
betterstack.com·Comparison
Alternatives in Observability & Monitoring6
Better Stack competes on aggressive price-to-performance against incumbents like Datadog and New Relic, positioning itself as a unified, design-forward observability platform that is claimed to be up to 30x cheaper than Datadog.
- Its core differentiators are SQL-first querying (eliminating proprietary query languages), eBPF-based OpenTelemetry-native tracing with zero code change, an integrated AI SRE agent, and a predictable pricing model.
- Better Stack explicitly targets teams burned by tool sprawl and high observability bills, replacing a bundle of Datadog, PagerDuty, Statuspage, Sentry, and PostHog with a single platform.
- It positions its UI/UX and developer experience as significantly more intuitive than legacy incumbents.
Reviews
Praised
- Intuitive, beautifully designed UI
- Fast and easy setup
- Generous free tier
- Reliable and real-time alerting
- Slack-native incident management workflows
- Effective log management with SQL querying
- Responsive and helpful customer support
- Strong integration ecosystem
Criticized
- Steep free-to-paid pricing jump for small teams
- No self-hosted deployment option
- Call support gated behind $2,000/month spend
- Advanced features have a learning curve
- No global multi-team dashboard view
- Pricing can feel high for individual developers
- Mobile app limited to notifications only
Better Stack holds a 4.8/5 rating on G2 across 316 reviews, with 93% of reviewers awarding 5 stars. Users consistently highlight the intuitive interface, fast setup, and reliable alerting as standout strengths. The generous free tier and Slack-native incident workflows receive frequent praise. Common criticisms include the steepness of the free-to-paid pricing jump for small teams, the absence of self-hosting, limited call support for lower-spend customers, and a learning curve for advanced alerting configurations.
Pricing
Permanently free tier includes 10 monitors, 1 status page, 3 GB logs (3-day retention), 30 GB metrics, 100,000 exceptions/month, and 5,000 session replays. Paid plans start at $29/responder/month (annually) or $34/month billed monthly, covering full incident management, on-call, monitoring, and status pages with unlimited phone call and SMS alerts. Telemetry is sold in bundles: Nano ($25/mo annually for 40 GB logs/traces/metrics), Micro ($100/mo), Mega ($210/mo), Tera ($420/mo), all with 30-day log retention. À la carte log ingestion is $0.15/GB plus $0.08/GB/month retention. Metrics retention is $0.75/GB/month. Error tracking is $0.000075/exception. Session replay is $0.00225/session. Enterprise pricing available via custom quote. 60-day money-back guarantee on all paid plans.
Limitations
- No self-hosted or on-premises deployment option; core backend is SaaS-only with optional customer-owned S3 bucket for data storage.
- Free-to-paid pricing jump is noted by reviewers as steep for small teams.
- Phone/call support is only available to customers spending over $2,000/month.
- Not HIPAA compliant as of current documentation.
- Advanced configuration and alerting options have a learning curve for new users.
- Multi-team dashboard aggregation is limited (no single global view across multiple teams).
- No publicly available self-service data export from the observability backend.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Google AI Mode | Gemini Search | Bing Copilot | ChatGPT | Perplexity | Grok |
|---|---|---|---|---|---|---|
Capability1/5 cited (20%) | ||||||
Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Your brand and a competitor were cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited |
Developer Experience2/5 cited (40%) | ||||||
Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand was cited | Your brand and a competitor were cited |
Integrations & Ecosystem0/5 cited (0%) | ||||||
Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Performance & Reliability1/5 cited (20%) | ||||||
What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast? | A competitor was cited | Your brand was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Your brand was cited | Your brand and a competitor were cited |
Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day? | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Setup & First Run1/5 cited (20%) | ||||||
What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which APM tools have the best day-one onboarding to get immediate value without drowning in noise? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | New Relic | 21.3% | 19.2% | 2.0% | 19.3% | 58.0% | #14.7 | +0.44 |
| 2 | Datadog | 15.3% | 18.5% | 4.7% | 9.3% | 76.0% | #16.2 | +0.38 |
| 3 | Splunk | 12.0% | 11.7% | 0.7% | 8.7% | 37.3% | #19.7 | +0.43 |
| 4 | Grafana | 10.0% | 10.0% | 5.3% | 3.3% | 8.7% | #26.1 | +0.50 |
| 5 | Honeycomb | 8.7% | 10.3% | 2.0% | 5.3% | 38.0% | #24.3 | +0.55 |
| 6 | Dynatrace | 8.0% | 12.5% | 6.0% | 3.3% | 53.3% | #40.9 | +0.35 |
| 7 | Better Stack | 6.7% | 5.7% | 0.7% | 0.7% | 8.0% | #13.5 | +0.42 |
| 8 | Logz.io | 4.7% | 2.8% | 0.0% | 4.0% | 4.7% | #9.6 | +0.45 |
| 9 | Coralogix | 4.0% | 2.8% | 0.0% | 0.0% | 5.3% | #6.6 | +0.62 |
| 10 | Elastic | 4.0% | 3.9% | 0.7% | 1.3% | 26.7% | #28.4 | +0.53 |
| 11 | Chronosphere | 1.3% | 1.1% | 0.0% | 0.0% | 4.7% | #21.7 | +0.55 |
| 12 | Axiom | 0.7% | 1.1% | 0.0% | 0.7% | 4.0% | #74.7 | +0.80 |
| 13 | Mezmo | 0.7% | 0.4% | 0.7% | 0.0% | 0.7% | #75.0 | +0.80 |
| 14 | Sentry | 0.0% | 0.0% | 0.0% | 0.0% | 6.7% | — | — |
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