# Sumo Logic vs Dash0: A Complete Comparison for 2026
Sumo Logic's pricing page has led with "$0 ingest" for years, a genuinely accurate but genuinely incomplete headline: the real cost lives in Flex Pricing's scan credits, consumed by every dashboard refresh, monitor evaluation, and ad-hoc search against data you already paid nothing to send. At a mid-range analytics profile, Sumo Logic itself estimates roughly $3.14 per terabyte scanned, and a team running frequent investigation habits against a few terabytes of monthly logs can find the bill diverging substantially from the "$0" that got them in the door.
Dash0 arrived at a superficially similar-sounding pricing philosophy from a completely different direction. Founded in 2023 by the team that built Instana before IBM acquired it, Dash0 charges per million signals, logs, spans, metric data points, with zero minimum spend and no separate query fee at all. It hit unicorn status in March 2026 with a $110M Series B, grew to 600+ paying customers, and built the entire platform OpenTelemetry-native from line one, with dashboards on Perses, a CNCF open standard, specifically so nothing you build ever gets locked into a proprietary shape.
**The comparison that actually matters here isn't "who's cheaper," it's "which company's core business are you actually buying."** Sumo Logic is fifteen years deep into being a log analytics and security company, Cloud SIEM, Cloud SOAR, UEBA, MITRE ATT&CK detection rules, FedRAMP and PCI DSS certified, that happens to also do observability. **Dash0 is three years into being an OpenTelemetry-native observability company with no security product at all**, betting its Series B on an ambitious multi-agent AI suite that's still entirely in beta. Neither fact should surprise you once you know each company's founding story, and neither should be treated as a minor footnote.
## Quick comparison at a glance
| Feature | Sumo Logic | Dash0 |
|---|---|---|
| **Founded** | 2010 | 2023 |
| **Primary purpose** | Log analytics + Cloud SIEM + observability | OpenTelemetry-native observability engine |
| **Free tier** | 30-day trial, then limited free plan | Pure consumption, zero minimum |
| **Pricing model** | Scan-based credits (Flex Pricing), free ingest | Per million signals (logs, spans, metrics) |
| **Log ingest cost** | Free (scans consume credits per query) | $0.60/million records, no separate query fee |
| **Query fees** | Yes (scan credits, ~$3.14/TB mid-range) | None (included in per-signal price) |
| **Unlimited users** | Yes | Yes |
| **Query language** | Sumo Logic Query Language | PromQL |
| **Dashboard format** | Proprietary | Perses (CNCF open standard) |
| **Instrumentation** | Collectors + OTel (full support, no surcharge) | OTel operator (Java, Node.js, .NET) + manual SDKs |
| **APM / tracing** | Yes (strong AWS-native integration) | Yes (OTel-native, Trace Graph) |
| **Code-level profiling** | No | No |
| **Kubernetes-as-code** | Limited | Yes (PersesDashboard, PrometheusRule, SyntheticCheck CRDs) |
| **Infrastructure monitoring** | Yes (multi-cloud, 2,000+ pre-built apps) | Yes (Kubernetes-native, resource-centric) |
| **Cloud SIEM** | Yes (900+ rules, MITRE ATT&CK, primary product) | No |
| **Cloud SOAR** | Yes (playbook automation) | No |
| **UEBA** | Yes | No |
| **AI capabilities** | Dojo AI (Summary/Query Agent GA, SOC Agent beta) | Agent0 (beta, specialized agent federation) |
| **MCP server** | Yes (limited beta, GA planned 2026) | No (Agent Skills instead) |
| **Self-hosted / air-gapped** | No | No (SaaS-only) |
| **SOC 2 Type II** | Yes | Yes |
| **HIPAA** | Yes | No |
| **FedRAMP** | Yes (authorized) | No |
| **PCI DSS** | Yes | No |
---
## Platform architecture and philosophy
Both companies converged on scan-and-signal-based pricing that avoids per-host math, but they built toward that convergence from opposite starting problems, one from enterprise log analytics and security, the other from a direct reaction against proprietary observability vendors.
### Sumo Logic: fifteen years of log analytics with security built into the same platform
Sumo Logic was built as a cloud-native log analytics platform from 2010 onward, and Cloud SIEM, Cloud SOAR, and observability all grew on that same foundation rather than being bolted on. Flex Pricing means ingest is free, but every dashboard refresh, monitor evaluation, and search consumes scan credits, roughly $3.14/TB at a mid-range profile, a genuinely different cost mechanism than Dash0's flat per-signal rate. Unlimited users is a real structural advantage shared with Dash0: every engineer and SOC analyst accesses the same data without a seat fee.
### Dash0: OpenTelemetry natively, Perses dashboards, a direct answer to what the founders lived through at Instana
Dash0's founders spent years inside Instana before IBM's acquisition, and the platform reads like a direct response to what they saw there: OpenTelemetry data ingested and stored without ever converting to a proprietary format, dashboards built on Perses so what you build exports cleanly and imports elsewhere, and pricing per million signals with zero minimum spend and no separate query fee at all, a genuinely simpler mechanism than Sumo Logic's scan-based model. The Kubernetes Operator auto-instruments Java, Node.js, and .NET and synchronizes PrometheusRule and PersesDashboard CRDs directly from your cluster, a modern GitOps-native operating model Sumo Logic's console-first approach doesn't offer. The tradeoff for that youth and focus: no security product of any kind, no SIEM, no compliance certifications beyond SOC 2 and GDPR.
| Architectural factor | Sumo Logic | Dash0 |
|---|---|---|
| Founding domain | Log analytics, security grew on the same platform | OpenTelemetry-native observability, founded in direct reaction to legacy vendors |
| Query language | Sumo Logic Query Language | PromQL |
| Dashboard format | Proprietary | Perses (CNCF open standard) |
| Pricing mechanism | Scan credits on free ingest | Per million signals, no separate query fee |
| Unlimited users | Yes | Yes |
| Kubernetes-as-code | Limited | Yes (CRD-native dashboards, alerts, synthetic checks) |
| Security product | Yes (Cloud SIEM, SOAR, UEBA) | No |
[summary]
### Neither platform pages the human who needs to know
Sumo Logic covers security depth Dash0 doesn't attempt, and Dash0 keeps your data portable in a way Sumo Logic's proprietary query language doesn't. Neither one gets anyone on the phone during an incident. Better Stack connects observability directly to on-call and incident response in one platform.
**From heartbeat monitoring to incident timelines to status pages, one platform for the whole reliability lifecycle.** [Start free.](https://betterstack.com)
[/summary]
---
## Log management
This is Sumo Logic's oldest and deepest capability. Dash0's log product is three years old and structured on an entirely different billing principle, and the two produce genuinely different outcomes depending on your usage pattern.
### Sumo Logic: free ingest, scan-metered queries, fifteen years of analytics tooling
LogReduce automatically clusters log lines into patterns, LogCompare diffs patterns across time windows, and LogExplain identifies which fields correlate with a condition, genuinely mature tooling refined over fifteen years that Dash0's younger platform doesn't match feature-for-feature. But every query against that free ingest consumes scan credits, and the practical question to model before signing is how many times per month each GB of your logs effectively gets scanned across dashboards and investigations. Heavy-ingest, light-query teams (compliance archiving) do well here; heavy-dashboard teams see costs compound.
### Dash0: per-signal, no query fee at all, verbose logs cost the same as terse ones
Dash0 charges $0.60 per million log records regardless of size, with no separate query cost of any kind, an important structural difference from Sumo Logic's model: once you've paid for the signal, querying it as much as you want costs nothing further. A verbose log with a full stack trace costs the same as a one-line health check, rewarding detailed logging rather than penalizing it. Spam Filters drop noisy telemetry before it counts against billing. The catch is the reverse of Sumo Logic's: very high-volume, low-content signals get expensive fast under per-signal pricing in a way scan-based pricing on free ingest wouldn't punish the same way, and PromQL is the only query language, against Sumo Logic's more approachable, purpose-built search DSL with dedicated pattern-analysis tooling.
| Log management | Sumo Logic | Dash0 |
|---|---|---|
| Ingest cost | Free | $0.60/million records |
| Query cost | Scan credits (~$3.14/TB mid-range) | None (included in per-signal price) |
| Pattern/anomaly tooling | LogReduce, LogCompare, LogExplain | Basic (younger platform) |
| Query language | Sumo Logic Query Language | PromQL only |
| Cost driver | Query frequency (behavior-dependent) | Signal volume (predictable per record) |
| Pre-billing filtering | Not applicable (ingest is free) | Spam Filters (one-click) |
[summary]
### Log search with neither a scan meter nor a query fee to worry about
Sumo Logic meters your curiosity through scan credits, and Dash0's per-signal model gets expensive with very high-volume small signals. Better Stack stores everything in one SQL-queryable warehouse at $0.10/GB with no query fees and no scan credits of any kind.
**Unified log management with SQL search, live tail, and no indexing surprises.** [See how it works.](https://betterstack.com/logs)
[/summary]
---
## APM, infrastructure, and Kubernetes monitoring
Both platforms are OTel-native with no surcharge, a genuine point of alignment, but Sumo Logic's depth shows up specifically in AWS environments while Dash0's shows up in GitOps-native Kubernetes operations.
### Sumo Logic: strong AWS-native APM, broad multi-cloud infrastructure, unlimited access
Sumo Logic APM's clearest strength is AWS-native environments, pre-built apps for CloudTrail, GuardDuty, CloudWatch, and Lambda connect operational and security context immediately, a category Dash0's Kubernetes-first focus doesn't specifically optimize for. Infrastructure monitoring covers AWS, GCP, and Azure with 2,000+ pre-built apps, well beyond Dash0's narrower integration catalog, and Kubernetes monitoring is genuinely strong with pod-level metrics and log correlation. Every dashboard load still consumes scan credits, the same query-cost anxiety that runs through Sumo Logic's whole pricing model.
### Dash0: Kubernetes-as-code, genuinely modern, and narrow by design
Dash0's Trace Graph turns a trace into a functional architecture diagram rather than a flat waterfall, and the Kubernetes Operator synchronizes PrometheusRule and PersesDashboard CRDs directly from your cluster, meaning alerts, dashboards, and synthetic checks are all definable as Kubernetes resources, version-controlled in Git, deployed through CI/CD, a materially more modern operating model than Sumo Logic's console-first approach for teams that already think in GitOps terms. The honest limit: no code-level profiling on either side of this comparison, no AWS-specific integration depth to match Sumo Logic's, and no coverage outside Kubernetes at meaningful depth at all.
| APM / infrastructure | Sumo Logic | Dash0 |
|---|---|---|
| AWS-native integration depth | Excellent (deep pre-built apps) | Limited |
| Kubernetes-as-code (CRDs) | No | Yes (dashboards, alerts, synthetic checks) |
| Multi-cloud coverage | Yes (AWS, GCP, Azure) | Kubernetes-first, narrower elsewhere |
| Code-level profiling | No | No |
| Query/dashboard cost | Scan credits consumed per load | Included in per-signal pricing, no extra fee |
| Metrics capacity | Capped at 50K DPM/day (Essentials) | 13-month retention, no cardinality penalty |
---
## Security capabilities
This section resolves in one direction almost entirely, and it's the single biggest structural gap in this comparison.
Sumo Logic's Cloud SIEM is the product the company's enterprise reputation was built on: 900+ detection rules aligned to MITRE ATT&CK, an Insight Rules Engine correlating raw signals into grouped incidents, UEBA behavioral baselining, Entity Timeline and Relationship Graph for blast-radius analysis, and FedRAMP authorized plus PCI DSS certified compliance.
**Cloud SOAR, playbook-driven automated response, has no Dash0 equivalent whatsoever, because Dash0 has no security product at all.** No SIEM, no threat detection, nothing, and no near-term roadmap indication that it will build one. Dash0's compliance posture reflects its youth accordingly: SOC 2 and GDPR, but no HIPAA, no FedRAMP, no PCI DSS. For any organization where a SOC analyst or a compliance officer is part of the buying decision, this section is close to decisive.
| Security | Sumo Logic | Dash0 |
|---|---|---|
| Cloud SIEM | Yes (900+ rules, MITRE ATT&CK) | No |
| Cloud SOAR | Yes (playbook automation) | No |
| UEBA | Yes | No |
| FedRAMP | Yes (authorized) | No |
| PCI DSS | Yes | No |
| HIPAA | Yes | No |
| SOC 2 Type II | Yes | Yes |
---
## AI capabilities
Both companies are betting on AI as a differentiator, but for different users entirely: Sumo Logic's Dojo AI serves a SOC analyst, and Dash0's Agent0 serves an SRE or platform engineer, and both are honest that their most ambitious pieces remain beta.
### Sumo Logic: Dojo AI, security-first, analyst-initiated
Dojo AI is built for security operations. Mobot is the conversational interface across agents; the Summary Agent (GA) auto-explains what triggered a Cloud SIEM Insight; the Query Agent (GA) translates natural language into Sumo Logic Query Language. The SOC Analyst Agent, limited beta, processes customer data to triage and correlate Insight activity. The MCP server is limited beta with GA planned for 2026.
### Dash0: Agent0's federation of named specialists, ambitious, all beta
Agent0 is architecturally the more ambitious system in this pairing: six named, specialized agents, the Seeker investigates alerts, the Oracle generates PromQL from natural language, the Pathfinder guides instrumentation of new services, the Threadweaver analyzes complex traces, the Architect generates dashboards and alert rules, and the Lookout surfaces problematic web sessions. Each agent exposes its own reasoning, making conclusions inspectable, precisely the kind of multi-agent bet a $110M Series B raised specifically to fund it would produce. There's no MCP server at all for Dash0, notable since Sumo Logic at least has one in limited beta, and AI coding integration runs through Agent Skills and a CLI instead.
The honest framing: Dojo AI and Agent0 aren't really competing for the same job. One triages security alerts for a human analyst; the other investigates production incidents for an SRE. Neither is production-hardened yet in its most ambitious form.
| AI capability | Sumo Logic | Dash0 |
|---|---|---|
| Security-focused triage | Yes (SOC Analyst Agent, beta) | No (no security product) |
| Autonomous incident investigation | No (analyst-initiated) | Agent0's Seeker (beta) |
| Reasoning transparency | Not specifically highlighted | Yes, each agent exposes its reasoning |
| MCP server | Limited beta (2026 GA planned) | None (Agent Skills + CLI instead) |
| Natural language querying | Yes (Mobot / Query Agent, GA) | Yes (the Oracle, beta) |
| Instrumentation guidance agent | No | Yes (the Pathfinder) |
[summary]
### AI investigation for two different users, neither connected to the response
Dojo AI serves the SOC analyst and Agent0 serves the SRE, but neither hands its conclusion to an on-call engineer. Better Stack's AI SRE activates autonomously during incidents and delivers its hypothesis into a live incident with the responder already paged, GA today.
**Autonomous root cause investigation connected to on-call, incidents, and status pages.** [See the AI SRE.](https://betterstack.com)
[/summary]
---
## Pricing comparison
Both vendors' real cost lives in a variable their headline number doesn't state plainly, one in query behavior, the other in signal density, and modeling your own usage against both matters more than comparing sticker prices.
**Scenario: 500GB/month logs, 100-host-equivalent observability, moderate query frequency**
| Cost component | Sumo Logic (Enterprise Ops, estimated) | Dash0 (per-signal) |
|---|---|---|
| Log ingest | Free | ~$300-500/month ($0.60/M records) |
| Log query/scan costs | $1,500-4,000/month (query-pattern dependent) | Included (no separate query fee) |
| APM (spans) | Included in scan-based model | ~$200-400/month ($0.60/M spans) |
| Metrics | Included in scan-based model | ~$100-200/month ($0.20/M data points) |
| Security (SIEM/SOAR) | Included on same platform | Not available at any price |
| **Estimated monthly total** | **~$1,745-4,415/month** | **~$600-1,100/month** |
Dash0 comes out meaningfully cheaper at this profile, largely because it has no query fee at all and no separate security product pulling cost into the total. But the comparison isn't really apples to apples: **Sumo Logic's total includes Cloud SIEM, Cloud SOAR, and UEBA on the same bill; Dash0's total buys none of that at any price**, because the product doesn't exist. If your evaluation includes security operations, the honest comparison isn't Sumo Logic vs. Dash0, it's Sumo Logic vs. Dash0 plus a separate SIEM vendor entirely, and that changes the math substantially.
| Pricing factor | Sumo Logic | Dash0 |
|---|---|---|
| Free tier | 30-day trial, then limited | Zero minimum, pure consumption |
| Cost anchored to | Query frequency (scan credits) | Signal count (logs, spans, metrics) |
| Query fees | Yes | None |
| Annual renewal uplift | 10% default (negotiable) | Not yet established (young company) |
| Security included | Yes (SIEM, SOAR, UEBA, same bill) | No (not available at any price) |
| Self-serve start | Yes (30-day trial) | Yes |
[summary]
### Predictable pricing that still doesn't page anyone
Dash0's per-signal model avoids Sumo Logic's scan-cost unpredictability, but neither platform includes on-call or a status page. Better Stack combines volume-priced logs, metrics, and traces with on-call scheduling, incident management, and status pages, one platform, one bill.
**Fewer vendors, fewer context switches, and a single place for the full reliability workflow.** [Talk to us.](https://betterstack.com)
[/summary]
---
## What each platform genuinely lacks
**Sumo Logic gaps worth knowing:**
1. Flex Pricing scan costs are genuinely hard to forecast without modeling actual query frequency in advance, not just data volume.
2. Annual renewals include a default 10% increase unless proactively negotiated.
3. No self-hosted or air-gapped deployment option.
4. Proprietary query language creates real switching costs and a meaningful learning curve.
5. Dojo AI's most capable features (SOC Analyst Agent, MCP server) remain in limited beta.
6. No status pages, no native on-call scheduling.
7. No Kubernetes-as-code operating model to match Dash0's CRD-native approach.
**Dash0 gaps worth knowing:**
1. No security product of any kind, no SIEM, no SOAR, no UEBA, and no roadmap indication of building one.
2. No HIPAA, no FedRAMP, no PCI DSS, ruling it out for regulated and government workloads regardless of price.
3. No code-level profiling and comparatively narrow AWS-native integration depth.
4. No MCP server at all, notable since Sumo Logic at least has one in limited beta.
5. PromQL is the only query language, no SQL option.
6. Every piece of Agent0 is beta; production incident response on it today is a real bet, not a foregone conclusion.
7. No status pages, no native on-call scheduling.
---
## Final thoughts
The fastest way to resolve this comparison is to ask whether security operations belongs in the same purchase as observability. **If a SOC analyst, a compliance officer, or anyone chasing FedRAMP or PCI DSS certification is part of the evaluation, Dash0 simply isn't a candidate, it has no security product at any price, and Sumo Logic's fifteen years of Cloud SIEM, Cloud SOAR, and UEBA depth aren't something a three-year-old observability company replicates by being cheaper.**
If the evaluation is purely observability, an SRE or platform team with no security requirement, **Dash0's architecture is the more modern one to build on**: OpenTelemetry-native data that's never locked into a proprietary shape, Perses dashboards that survive a vendor switch, Kubernetes-as-code that fits a GitOps workflow Sumo Logic's console doesn't match, and a pricing model with no query fee to forecast against, only signal volume. **The cost gap in that scenario, meaningfully cheaper for Dash0 at moderate scale, reflects exactly that: you're not paying for a security product you don't need.**
The honest caution runs in both directions. Sumo Logic's scan-based pricing genuinely does reward the right usage pattern (heavy ingest, light querying) and punish the wrong one, model your team's actual dashboard habits before signing. And Dash0's youth is real: every ambitious piece of Agent0 is beta, the MCP gap against a series where several competitors already ship one GA is a genuine maturity signal, and betting production incident response on a three-year-old company's roadmap is a different kind of risk than betting on Sumo Logic's fifteen years of production hardening, whatever its pricing quirks.
[summary]
### The layer neither platform has built
Neither Sumo Logic nor Dash0 includes uptime monitoring, on-call scheduling with phone and SMS, incident management, or customer-facing status pages as part of the core platform. Better Stack brings all of that together with logs, metrics, and traces, with usage-based pricing and no per-scan or per-signal surcharges.
**The full reliability lifecycle in one place. Start free, no credit card required.** [Try Better Stack.](https://betterstack.com)
[/summary]