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AI visibility report for Better Stack

Vertical: Observability & Monitoring

AI search visibility benchmark across 5 platforms in Observability & Monitoring.

Track this brand
25 prompts
5 platforms
Updated Jun 4, 2026

Also benchmarked

Better Stack appears in another vertical

Incident Management & On-Call
8percent

Presence Rate

Low presence

Top-3 citations across 125 prompt × platform pairs

+0.21

Sentiment

-1.00.0+1.0
Positive
#8of 13

Peer Ranking

#1#13
Mid-packin Observability & Monitoring

Key Metrics

Presence Rate8.0%
Share of Voice3.4%
Avg Position#17.9
Docs Presence0.8%
Blog Presence0.8%
Brand Mentions6.4%

Platform Breakdown

Perplexity
28%7/25 prompts
Grok
8%2/25 prompts
ChatGPT
4%1/25 prompts
Gemini Search
0%0/25 prompts
Google AI Mode
0%0/25 prompts

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

SRE and DevOps engineers managing cloud-native infrastructureSmall-to-mid-sized engineering teams and SaaS startupsEngineering teams migrating away from expensive Datadog or New Relic contractsIndividual developers and indie hackers needing affordable uptime monitoringPlatform engineering leads seeking a consolidated observability stackCTOs and VPs of Engineering prioritizing cost efficiency and developer experience
betterstack.com

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

Visibility+2.7 pts
Avg position+1.31
Sentiment+0.04

How AI describes Better Stack3

For maintaining fast alerting during high-volume log bursts, Coralogix, Better Stack, and Honeycomb offer the lowest end-to-end ingestion lag.

I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?

google-ai-modeDirect Better Stack mention
Similarly, modern tools like Better Stack and Parseable use ClickHouse or S3-native columnar formats to compress terabytes of data by up to 90%, allowing sub-second analytical queries on massive datasets.

Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?

google-ai-modeDirect Better Stack mention
...-level visibility without burying you in configuration or alert fatigue, the standout choices are IBM Instana , Better Stack , and Dynatrace . While market heavyweights like Datadog and [New Relic](https:/...

Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?

google-ai-modeDirect Better Stack mention

Most cited sources8

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.
View category comparison hub

Reviews

4.8/5G2·316+

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 Coverage

Capability1/5DevEx2/5Integrations &Ecosystem2/5Performance &Reliability2/5Setup & First Run1/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptPerplexityGemini SearchChatGPTGrokGoogle AI Mode
Capability1/5 cited (20%)

Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?

I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?

Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?

Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?

Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?

Developer Experience2/5 cited (40%)

Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow?

Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification?

Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?

Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?

Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds?

Integrations & Ecosystem2/5 cited (40%)

Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow?

Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?

Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?

What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes?

Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in?

Performance & Reliability2/5 cited (40%)

Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates?

What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces?

Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?

Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?

Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling?

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?

What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?

Which APM tools have the best day-one onboarding to get immediate value without drowning in noise?

What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications?

What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data?

Strengths

No clear strengths identified yet.

Gaps5

  • Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?

    Competitors on 3 platforms

  • Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?

    Competitors on 3 platforms

  • Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?

    Competitors on 3 platforms

  • What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data?

    Competitors on 3 platforms

  • Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?

    Competitors on 2 platforms

Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1New Relic33.6%21.8%3.2%28.8%30.4%#13.9+0.27
2Datadog28.0%20.1%9.6%16.0%26.4%#16.0+0.32
3Grafana Labs16.8%13.1%8.0%2.4%15.2%#21.4+0.40
4Splunk15.2%9.5%0.8%11.2%13.6%#20.0+0.18
5Dynatrace15.2%11.9%8.0%4.0%15.2%#34.0+0.32
6Honeycomb10.4%10.0%3.2%5.6%9.6%#24.3+0.33
7Logz.io8.0%3.2%0.0%7.2%7.2%#9.3+0.29
8Better Stack8.0%3.4%0.8%0.8%6.4%#17.9+0.21
9Elastic6.4%2.9%1.6%0.8%5.6%#30.2+0.26
10Coralogix5.6%1.7%0.8%2.4%5.6%#11.9+0.33
11Chronosphere3.2%1.5%0.0%0.0%3.2%#17.7+0.38
12Axiom0.8%0.7%0.0%0.8%0.8%#74.7+0.80
13Mezmo0.8%0.2%0.8%0.0%0.8%#75.0+0.80

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