Dash0 Raises $110M Series B at $1B Valuation

Modern Elastic Alternative

Autonomous Production AI

Dash0Agent-native OpenTelemetry, with Agent0 included
vs
ElasticSearch-driven telemetry on Elasticsearch, with Agent Builder bolted on
OpenTelemetry-native
Dash0 reads OpenTelemetry data natively with full semantic structure, service names, operation types, error classifications, resource attributes, correlated spans — without translation or API approximation. That's the data layer Agent0 needs to reason about your production environment.
OpenTelemetry-native
Proprietary Ecosystem
Elastic ingests OpenTelemetry data through EDOT and contributed ECS to OpenTelemetry, but the storage layer is still Elasticsearch with Lucene indexes, and Kibana visualizations are built around ECS-shaped fields. OTel data lands in Elastic's schema, not the other way around.
Proprietary Ecosystem
Agent0 — autonomous production AI
Agent0 scans your entire production environment every 60 seconds, before alerts fire. It detects alert coverage gaps, ownership gaps, and degraded services with no monitors. It generates calibrated alerts, validated dashboards, IaC, and pull requests — every artifact tested against live telemetry before it ships. Built into Dash0, not a separate window.
Agent0 — autonomous production AI
Elastic Agent Builder — chat-and-retrieval
Agent Builder lets developers build context-driven agents on top of Elasticsearch. It's a builder platform — strong on retrieval, MCP, and A2A protocol support — but it doesn't ship with autonomous SRE behaviour out of the box. There's no continuous scan, no alert coverage gap detection, no PR generation for code fixes. You build the agent; you wire the loop.
Elastic Agent Builder — chat-and-retrieval
Easy To Use
Dash0 ships a single UI for logs, traces, metrics, and dashboards — keyboard-driven, semantic-attribute-aware, with PromQL available and natural-language Q&A built in. No app-switching, no separate query language to learn.
Easy To Use
Complex UI Requires Extensive Training
Kibana is several apps stitched together. Discover, Logs Explorer, APM, Infrastructure, Streams, Security, the AI Assistant or Agent Builder window, plus ES|QL, KQL, Lucene, and Painless syntaxes depending on where you are. Powerful, but the surface area is the surface area.
Complex UI Requires Extensive Training
Simple Pricing
Dash0 prices on data points after your spam filter, not on raw ingest, not on retention tiers, not on per-host or per-user fees. What you keep is what you pay for.
Simple Pricing
Complex Pricing
Elastic Cloud Hosted is resource-based — you pay for node size, data tier, region, and a support percentage on top. Elastic Cloud Serverless is consumption-based on GB ingested, GB retained, and GB egressed.
Complex Pricing
Open Standards
Dash0 stores in native OpenTelemetry, visualizes with Perses, queries with PromQL, and exposes everything through standards-based APIs. Your dashboards, alerts, and instrumentation move with you.
Open Standards
Vendor Lock-In
Kibana dashboards, ES|QL queries, and saved Discover sessions are written against Elasticsearch indexes with ECS-shaped fields. Elastic donated ECS to OpenTelemetry and is bridging the two schemas, but today your Kibana assets only run on Elastic.
Vendor Lock-In
Full Resource-based Context & Navigation
Dash0 correlates logs, traces, and metrics through OpenTelemetry resource attributes — same service name, same span ID, same deployment, so navigation between signals is one click. No mapping rules to maintain.
Full Resource-based Context & Navigation
Manual Correlation
Elastic enables cross-signal correlation, but relies on exact ECS field mappings. Incomplete or inconsistent mappings often break one-click navigation, requiring manual tagging to restore context.
Manual Correlation
Telemetry Spam Filter
Dash0's spam filter drops noisy telemetry in two clicks — no pipeline config, no agent redeploys, no queries to write. The drop happens at our ingest layer and reduces your bill immediately.
Telemetry Spam Filter
Manual Filtering Rules
Elastic allows telemetry filtering, but requires configuring custom pipeline rules and redeploying agents to control excessive data collection.
Manual Filtering Rules
Pay For What You Use
In Dash0 you pay for data that passes the spam filter , not raw ingest, not retention tiers. Tasks performed by Agent0 are billed separately on a Task model, with no per-seat AI access fees.
Pay For What You Use
Pay For What You Ingest
Elastic Cloud Serverless bills on GB ingested, GB retained, and GB egressed. Filtering at the agent or pipeline reduces ingest, but Workflows, Agent Builder, and the Elastic Managed LLM are separate line items billed per run or per token.
Pay For What You Ingest
Triage & Root Cause Analysis
Agent0 launches autonomous investigations on alert. It forms and tests hypotheses against live telemetry with a transparent hypothesis tree, correlates logs, traces, and metrics across native OTel data, and surfaces the specific service, span, or commit responsible. Root cause with evidence, in seconds.
Config-heavy Root Cause Analysis
Elastic offers AI-driven investigations through Agent Builder and the deprecating AI Assistant — chat interfaces that retrieve context via ESRE/ELSER and call functions on your behalf. Useful, but conversational and reactive. There's no autonomous loop that scans your environment, identifies degraded services with no alerts, and proposes the fix.

Why choose Dash0 vs. Elastic?

Features
Dash0
Elastic
OpenTelemetry-native
()
Easy to set up and use
Open standards for alerts and dashboards
Full resource-based context and navigation
()
Transparent pricing
Telemetry spam filter
AI improved logs
Triage root cause analysis
()
Integration hub
Infrastructure as code
SIEM
Continuous 60-second environment scanning
Alert coverage gap detection
Autonomous investigation on alert
()
AI-generated PRs for code fixes
Any MCP connector
()
Task-based AI pricing
Natural-language Q&A across telemetry and codebase
Native OTLP ingest

Trusted by

Patrice Bouillet

Patrice Bouillet

Solution Architect - Porsche Digital

Dash0's foundation on open source standards ensures future-proof and next-gen observability. Their focus on ease of use empowers all of our developers to gain insights quickly.

Mitre Angjelkoski

Mitre Angjelkoski

Infrastructure engineer - Chargetrip

In an age of overly complex tools, we find that Dash0 stands out for its simplicity and speed. With simple pricing, easy integration, amazing filtering capabilities, fast handling of large data volumes, and straightforward alerting with clear error messages, Dash0 makes observability a breeze.

Carlo Verhoeven

Carlo Verhoeven

Senior Full-Stack Engineer - catchHR

Dash0 has significantly streamlined our approach to observability and OpenTelemetry, bringing everything together in one place. The intuitive interface and seamless integration have enabled us to quickly gain valuable insights into our systems and resolve issues efficiently.

David Abram

David Abram

Senior Web Developer - CroCoder

What I love most about Dash0 is that it's fully OpenTelemetry native which has significantly improved our software development process. The seamless navigation from logs to traces to metrics streamlines bug diagnosis and troubleshooting, enhancing our team's efficiency.

Oliver Michels

Oliver Michels

DevOps Cloud Architect - AV Software Solutions 360° at Bechtle

With Dash0, we have found an OpenTelemetry-native solution that provides the flexibility we need. With the support of the open standard OpenTelemetry, we are able to handle public resources responsibly.

Observability in Minutes, not Months

No complex setups, no maintenance - all the context for your logs, metrics and traces.

Instant log filtering and search
Logs

Instant log filtering and search

Manage diverse logs with the fastest search and filtering capabilities. Leverage OpenTelemetry semantic conventions for context, traces, and metrics, to spot patterns in a blink.

Monitor the metrics that matter
Metrics

Monitor the metrics that matter

Centralize Prometheus & OpenTelemetry metrics to monitor your infrastructure and service with ease. Use proven dashboards, integrations and alerts with full context, based on OpenTelemetry semantic conventions.

Each request, explained
Traces

Each request, explained

Spot errors and bottlenecks: real-time search and filtering capabilities for all high cardinal attributes. Get heatmap drilldowns, trace details, and context for events, logs, and resources on one page.