Observe

Observe helps enterprises resolve software incidents faster and cheaper with unified observability.
Series C $393M total Founded 2017 San Mateo, California 235 employees
Observe is a modern observability platform that unifies logs, metrics, traces, and events in a single data lake powered by AI-driven SRE capabilities. Built on a context graph and data lake architecture using open standards like OpenTelemetry and Apache Iceberg, it enables enterprises to resolve software incidents three times faster at one-third the cost compared to traditional tools. The platform eliminates silos by providing a single language for analysis and unified user interface across all telemetry data. Observe was acquired by Snowflake in 2025, becoming part of the broader data cloud platform.
Problem solved
Engineering teams waste significant time and budget managing siloed observability tools while struggling to correlate logs, metrics, and traces to quickly diagnose and resolve production incidents.
Target customer
Enterprise engineering and DevOps teams at mid-to-large organizations looking to consolidate observability tooling and reduce costs; companies currently using Splunk, Datadog, or Elasticsearch.
Founders
J
Jacob Leverich
Co-Founder
Previously at Splunk; core team member focused on observability platform architecture.
J
Jonathan Trevor
Co-Founder
Previously at Wavefront; brought expertise in metrics and time-series data.
J
Jon Watte
Co-Founder
Previously at Roblox; contributed infrastructure and scale expertise.
M
Mike Speiser
Co-Founder
Sutter Hill Ventures partner who incubated and led Series A funding.
P
Philipp Unterbrunner
Co-Founder
Previously at Snowflake and Facebook; data infrastructure specialist.
J
Jeremy Burton
CEO
20-year IT industry veteran; former EVP at Dell Technologies, President/CEO of Serena Software, and Group President of Security at Symantec.
Funding history
Series A $35M Unknown Led by Sutter Hill Ventures · Michael Dell, Frank Slootman, Scott Dietzen
Series B $115M Unknown Led by Sutter Hill Ventures · Capital One Ventures, Madrona Ventures, Snowflake Ventures
Series C $156M July 30, 2025 Led by Sutter Hill Ventures · Madrona Ventures, Alumni Ventures, Snowflake Ventures, Capital One Ventures
Total raised: $393M
Pricing
Subscription-based pricing at $0.01 per GiB per month for uncompressed telemetry data ingested. Includes unlimited users, alerts, dashboards, data sources, and data retention. Multi-year and volume-based discounts available; enterprise customers contact for custom quotes.
Notable customers
Capital One, Topgolf, Reveal, Paramount, Dialpad, Barclays, AT&T, Morgan Stanley
Integrations
400+ pre-built integrations for cloud and Kubernetes metrics; partnerships with Cybereason for SIEM Detection and Response (SDR) solution; OpenTelemetry and Apache Iceberg support
Tech stack
Slick (JavaScript libraries) jQuery (JavaScript libraries) core-js (JavaScript libraries) Vimeo (Video players) Intercom (Live chat) Open Graph HTTP/3 WordPress (Blogs) Marketo Forms (Marketo Forms) Zoominfo (Analytics) Linkedin Insight Tag (Analytics) Hotjar (Analytics) Google Analytics (Analytics) Facebook Pixel (Analytics) reCAPTCHA (Security) PHP (Programming languages) Apple iCloud Mail (Webmail) Google Workspace (Email) Unpkg (CDN) jQuery CDN (CDN) Google Hosted Libraries (CDN) jsDelivr (CDN) Cloudflare (CDN) Salesloft (Marketing automation) Marketo (Marketing automation) MySQL (Databases) Google Tag Manager (Tag managers) Yoast SEO (SEO) Amazon Web Services (PaaS) WP Engine (PaaS)
Website
Competitors
Sumo Logic
Broader but more expensive logging-focused platform; Observe consolidates all telemetry types in unified data lake.
Datadog
Larger but costlier platform; enterprises migrate to Observe for significant cost savings and simpler architecture.
New Relic
Established APM/observability vendor; Observe differentiates with AI SRE and unified data lake approach for better incident resolution speed.
Grafana
Open-source focused with lower-cost model; Observe targets larger enterprises seeking managed, AI-enhanced observability with guaranteed SLA.
Splunk
Traditional, expensive legacy platform; Observe built by ex-Splunk engineers specifically to replace it with modern architecture and lower costs.
Why this matters: Observe represents the modern wave of observability platforms built by veterans from Splunk, Wavefront, and Snowflake that challenge expensive legacy tools. With 180% NRR, $393M in funding, and acquisition by Snowflake, it demonstrates how observability is consolidating around unified, cost-efficient architectures—reshaping how enterprises monitor production systems.
Best for: Large enterprises with complex distributed systems seeking to consolidate observability tooling, reduce costs, and dramatically accelerate incident resolution time.
Use cases
Multi-team incident triage and resolution
When a production incident occurs, engineering teams can correlate logs, metrics, and traces in seconds across their entire infrastructure using AI SRE capabilities. Instead of switching between three tools to piece together context, teams get unified visibility that automatically surfaces root causes, reducing mean time to resolution (MTTR) from hours to minutes.
Cost optimization during infrastructure scaling
As enterprises scale their cloud infrastructure, observability costs often triple or quadruple. Observe's data lake model and compression significantly reduce storage and ingestion costs compared to per-unit pricing models, enabling teams to observe more without exponential cost increases.
Consolidating and replacing legacy observability stacks
Organizations running multiple observability tools (Splunk for logs, Datadog for metrics, Jaeger for traces) can migrate to Observe's unified platform, eliminating licensing costs, reducing operational overhead, and gaining a single pane of glass across all telemetry data.
Frontend and customer experience monitoring
With the launch of Frontend Observability in March 2025, teams can now observe and optimize end-user experiences by correlating frontend metrics with backend infrastructure data in a single platform, enabling faster diagnosis of customer-facing issues.
Alternatives
Datadog Larger, more comprehensive platform but significantly more expensive; choose Datadog for broader feature breadth, Observe for cost-conscious enterprises prioritizing incident speed.
Splunk Legacy enterprise standard with higher costs and complexity; choose Splunk for historical precedent and entrenched deployments, Observe for modern architecture and cost savings.
New Relic Strong APM heritage; choose New Relic for APM-first organizations, Observe for unified observability with AI-driven incident resolution and better cost metrics.
Grafana Open-source, self-hosted option with lower costs; choose Grafana for cost-minimal deployments, Observe for managed SaaS with enterprise SLAs and AI capabilities.
FAQ
What does Observe do? +
Observe is a unified observability platform that consolidates logs, metrics, traces, and events into a single data lake and knowledge graph. It uses AI-driven SRE capabilities to help engineering teams resolve production incidents three times faster at one-third the cost of traditional tools like Splunk and Datadog. The platform eliminates tool silos by analyzing all telemetry with a single query language and unified interface.
How much does Observe cost? +
Observe pricing is subscription-based at $0.01 per GiB per month for uncompressed telemetry data ingested. This includes unlimited users, alerts, dashboards, data sources, and data retention. Multi-year and volume-based discounts are available, and enterprise customers can request custom quotes.
What are the main competitors to Observe? +
Top competitors include Datadog (larger, more expensive), Splunk (legacy, higher cost), New Relic (strong in APM), and Grafana (open-source, self-hosted). Observe differentiates through unified architecture, AI SRE capabilities, and significantly lower total cost of ownership compared to these alternatives.
Who uses Observe? +
Enterprise engineering and DevOps teams at large organizations use Observe. Notable customers include Capital One, Barclays, AT&T, Morgan Stanley, Paramount, Topgolf, Dialpad, and Reveal. Typical users are companies with complex distributed systems seeking to consolidate observability tooling and reduce costs.
How does Observe compare to Datadog? +
While Datadog is broader and more established, Observe is designed specifically to replace expensive per-unit pricing models with a unified data lake approach that costs significantly less. Observe achieved 180% net revenue retention and tripled revenue in 2024, indicating strong customer satisfaction and adoption. Datadog remains larger with more features, but Observe wins on cost and incident resolution speed for enterprises.
Was Observe acquired? +
Yes, Observe was acquired by Snowflake, the data cloud company. This represents a major exit event and integration of Observe's observability capabilities into Snowflake's broader platform. As of the acquisition, Observe is no longer an independent company.
Tags
observability monitoring incident response telemetry data lake distributed tracing AI SRE cloud infrastructure Kubernetes cost optimization