Same OTel philosophy. Different vision for what comes next.
Start FreeSimple Setup
Deploy in minutes
Global Access
Use from anywhere
Expert Support
Chat, email, and consulting available
SigNoz and DeepCube both build on OpenTelemetry from day one. No proprietary agents. No vendor lock-in. Standard OTLP ingestion. If you are evaluating SigNoz, you already understand why OTel-native architecture matters, and we respect that. The question is not which platform collects telemetry better. Both do it the right way. The question is what happens after your data arrives: how you see it, how you investigate it, and whether AI can close the loop from diagnosis to fix.
Same OTel foundation. Different destination.
What If Your Observability Platform Could Fix the Problem?
Beyond dashboards. Beyond diagnosis. All the way to the fix.
- SigNoz gives you better dashboards. DeepCube gives you a spatial topology where your services, their relationships, and their telemetry live in a single 3D environment.
- AI that fixes code: Tessa accesses your connected codebase workspace, diagnoses from 3D topology, and makes the fix. You review, you own it. Human on the loop.
- Same OTel philosophy. Different vision for what the engineer experience should be.
OTel-native ingestion. Spatial-native experience.
Where SigNoz Excels
Strong OTel-native architecture with a thriving open-source community.
- ClickHouse single datastore for all signals: traces, metrics, and logs in one backend.
- 31K+ GitHub stars, 10M+ downloads, 140+ contributors building in the open. (source: github.com/SigNoz/signoz via GitHub API, counted 2026-08-19 at 31,889)
- Self-hosted option gives teams full control over their data and infrastructure.
- Real, shipped AI. On 2026-05-04 SigNoz announced its hosted MCP server live, exposing SigNoz telemetry to external coding agents (Claude Code, Cursor, Codex, Gemini CLI); that same post described an in-product AI Assistant as "currently in beta" and did not yet name it. SigNoz announced Noz, its in-product AI teammate, in a separate post in June 2026. This is genuine, not vaporware, and by SigNoz's own account Noz is still pre-GA: "Noz is in beta and free to use while it is in beta", and "When it leaves beta, pricing will be transparent and easy to reason about". (MCP announcement, Noz announcement, docs, verified 2026-08-29)
- Now cheaper. SigNoz dropped its Cloud Teams base from $199 to $49/month in 2026. At low telemetry volume it is the cost-efficient choice, and we say so. (source: signoz.io/blog/cloud-teams-plan-now-at-49usd, verified 2026-08-19)
- Honest positioning as a cost-effective Datadog alternative resonates with teams tired of vendor lock-in.
Zero proprietary agents. Full OTel ecosystem.
Architecture: How We Differ
Both OTel-native. Different post-ingestion experience.
Both platforms share the same belief in open standards. DeepCube takes the OTel-native foundation and builds a fundamentally different post-ingestion experience: spatial visualization in 3D, an AI assistant that accesses your codebase and fixes code, and a native desktop client. SigNoz ships one surface and describes it themselves: SigNoz "serves both the API backend and the intuitive ReactJS frontend" (source, verified 2026-08-19).
The difference is in what happens after your telemetry arrives.
| Aspect | DeepCube | SigNoz |
|---|---|---|
| Instrumentation | Standard OpenTelemetry SDKs only | Standard OpenTelemetry SDKs |
| Data Ingestion | Direct OTLP (gRPC + HTTP) | Broader than ours. SigNoz's own architecture doc says its collector is configured to "Ingest telemetry data from diverse sources including Jaeger, Kafka, OpenCensus, OTLP, and Zipkin" and to provide "protocol translation for seamless integration with existing monitoring tools" (source, verified 2026-08-19) |
| Visualization | 3D spatial topology + web dashboards | 2D dashboards, charts, service maps |
| AI Assistant | Tessa: diagnoses + fixes code in your workspace | Noz in-product AI assistant (all SigNoz Cloud plans, in beta, and Cloud-only: SigNoz's own repository describes it as "a native AI teammate (in SigNoz Cloud)") + MCP Server (41 tools, Cloud-hosted or self-hosted) so external agents can query SigNoz; Noz itself reads telemetry and writes SigNoz configuration (source, MCP, verified 2026-08-19) |
| Deployment | Managed SaaS | Self-hosted (free) or managed cloud |
Tessa fixes code. You review it. You own it.
| Capability | Tessa (DeepCube) | SigNoz |
|---|---|---|
| AI Assistant | Tessa: full-featured AI assistant in-product | Noz in-product AI assistant (all SigNoz Cloud plans, in beta) + MCP Server (41 tools, Cloud-hosted or self-hosted). SigNoz defines that server as "an open standard that lets AI assistants interact with your SigNoz observability data" (source, verified 2026-08-19), and scopes Noz to "your traces, logs, metrics, dashboards, alerts, and infrastructure in plain English" (source, verified 2026-08-19) |
| Codebase Access | Full workspace: read, search, rename, modify | The codebase is yours, not SigNoz's, and their own sentence order says so: "Connect SigNoz to your coding agent and get the full picture in one query: traces, logs, metrics, service topology, and deployment history. Your codebase is already loaded, so you can correlate production telemetry with the code that caused it" (source, verified 2026-08-19). It is already loaded because it lives in the coding agent you supply. SigNoz names the boundary too: "The SigNoz MCP Server connects external coding agents (Claude Code, Cursor, and others) to SigNoz" (source, verified 2026-08-19) |
| Spatial Context | 3D topology + traces + metrics | 2D dashboards plus a real service dependency view, which SigNoz describes as an "Overview of your application graph with health indication", and the context it hands a coding agent includes "service topology" (pricing matrix, agent-native observability, verified 2026-08-19). A health-annotated graph, not a space you can move through |
| Code Fixes | Available on every plan. Tessa traces the issue to the source file in your connected workspace and proposes the change. You review, you approve, you commit. | No first-party code fixes, and SigNoz's own word for what Noz changes is configuration: "Noz can also take that next step for you, like creating a dashboard, setting up an alert, or saving a view", and "When a suggested fix would change your configuration, Noz asks for confirmation first" (source, verified 2026-08-19). The write surface matches: 13 of the 41 MCP tools mutate, and all 13 act on SigNoz objects (alert rules, dashboards, saved views, notification channels), none on a source file (tool list, counted 2026-08-19) |
| Root Cause Analysis | AI-driven with spatial context | AI-assisted via Noz |
| Pricing | Included in the price of every plan. No AI seat, no AI add-on, no per-query AI meter. Model quality scales with the plan. | Noz is listed on the SigNoz pricing page as included from the $49/month Teams plan, and is free while in beta, with post-beta pricing not yet set: "When it leaves beta, pricing will be transparent and easy to reason about" (pricing, source, verified 2026-08-29) |
AI: The Sharpest Differentiator
Human on the loop.
Tessa connects the telemetry of the environment you are viewing to your connected codebase. Add your repositories as workspaces, and Tessa can trace a production issue from the 3D topology straight to the source file. Tessa accesses your connected codebase workspace, diagnoses from 3D topology, makes the fix. You review, you own it. Human on the loop.
SigNoz now ships its own in-product AI assistant (Noz, on all SigNoz Cloud plans, in beta) and an MCP Server, so it is no longer a question of whether SigNoz has AI. The difference is what the AI can reach, and who you have to buy it from. SigNoz states the fork itself, in the first line of its AI overview: "Use Noz, the AI teammate built into SigNoz, or connect your own coding agents to your data", and the branch that reaches a fix is the second one, "Connect your own coding agents to SigNoz and go from alert to root cause to fix without leaving your dev environment" (source, verified 2026-08-19). Noz reasons over your observability data and writes SigNoz configuration. SigNoz closes the loop to code by sending its telemetry out to a coding agent you already own, which it calls being "a neutral data layer for AI-assisted debugging" (source, verified 2026-08-19). Tessa closes it inside one product, against the 3D topology, with no second vendor to buy and wire up.
This is the sharpest differentiator between DeepCube and SigNoz. Both platforms ingest OTel data the right way, and both now offer AI. The difference is codebase access and code fixes with a human on the loop, which SigNoz's AI does not provide.
Predictable pricing. AI and 3D included.
Pricing: The Full Picture
Scenario: 40 nodes, 10 engineers.
SigNoz uses usage-based pricing after a $49/month base credit. Costs scale with data volume. Here is what a realistic deployment looks like when you factor in actual telemetry volumes:
- SigNoz costs less at low volume. If your team generates minimal telemetry, SigNoz Cloud can be more affordable. We are honest about that. SigNoz is the cost-efficient choice if a broad, conventional 2D observability suite covers your need. DeepCube's higher price buys spatial topology and an in-product code-fix AI, so the comparison is break-even only if those two have no value to your team.
- DeepCube costs are predictable. Nodes x tier price = monthly cost. No surprises when log volume spikes during incidents.
- No codebase-aware AI of SigNoz's own at any price point. SigNoz reaches code by handing telemetry to a coding agent you license separately, and enumerates what SigNoz itself supplies: "traces, logs, metrics, service topology, and deployment history. Your codebase is already loaded" (source, verified 2026-08-19). Its own AI (Noz, on all SigNoz Cloud plans, in beta) and its MCP Server (41 tools, Cloud-hosted or self-hosted) work on observability data. Tessa is in the price of every DeepCube plan, accesses your connected codebase workspace, and makes the fix. You review, you own it. (source, MCP, verified 2026-08-19)
- No 3D visualization at any SigNoz price point. Spatial topology is not a feature SigNoz offers. That is a fundamentally different investigation experience.
- Self-hosted is not free to run, and SigNoz sorts buyers on exactly that. Their own plan chooser puts Community under "Have DevOps expertise & want full control" and "Ideal for: Solo developers & small startups", and Cloud Teams under "Want zero operational overhead & quick setup" (pricing, verified 2026-08-19). Their capacity-planning guide sizes a Community deployment at 56 CPU cores and 152 GiB of memory across 10 nodes spanning ClickHouse, ZooKeeper, PostgreSQL and collectors, and their production guide opens with "The easiest way to run SigNoz is to use SigNoz Cloud - no installation, maintenance, or scaling needed" before instructing you to "Create a separate cluster for running SigNoz" and to configure TTL, S3 tiering, per-signal retention, TLS ingress, collector scaling and sampling (capacity planning, production readiness, verified 2026-08-19)
- The free edition is not the whole product, by their own matrix. SigNoz marks Community with a cross on rows including anomaly detection, SAML support, multiple ingestion keys, per-key rate limits, one-click AWS integrations, prebuilt integrations and dashboards, data centers in the US, EU and India, and email support; Team Training and Instrumentation Support are Enterprise-only (pricing, read from the matrix markup 2026-08-19).
| Line Item | DeepCube | SigNoz Cloud |
|---|---|---|
| Base Platform | Included | $49/month (includes $49 usage credit) (source: signoz.io/pricing, verified 2026-08-19) |
| Traces (est. 200GB/mo) | Included | $0.30/GB = ~$60 (source: signoz.io/pricing, verified 2026-08-19) |
| Logs (est. 500GB/mo) | Included | $0.30/GB = ~$150 (source: signoz.io/pricing, verified 2026-08-19) |
| Metrics (est. 50M samples/mo) | Included | $0.10/M samples = ~$5 (source: signoz.io/pricing, verified 2026-08-19) |
| AI Assistant | Included (Tessa: codebase access + code fixes) | Noz (all SigNoz Cloud plans, in beta, Cloud-only): telemetry plus SigNoz configuration; codebase reach needs a coding agent you license separately (source, verified 2026-08-19) |
| 3D Visualization | Included | Not available |
| Estimated Monthly Total | $1,575 (Analyze) | ~$215+ (scales with data volume) (source: signoz.io/pricing, verified 2026-08-19) |
SigNoz pricing based on published rates from signoz.io/pricing, verified as of 2026-08-19. Actual costs vary by data volume. DeepCube pricing from immersivefusion.com/pricing. All prices USD.
You don't have to rip and replace
Run Both. Compare Side by Side.
Same telemetry, two destinations, zero re-instrumentation.
- Dual-destination: Since both SigNoz and DeepCube are OTel-native, your OpenTelemetry Collector can fan out telemetry to both destinations simultaneously.
- No code changes: Keep SigNoz for your existing workflows. Point the same data at DeepCube. Compare the investigation experience with identical production data.
- True portability: Unlike migrating from proprietary agents, moving between OTel-native platforms is a config change, not a project.
- Exit guarantee: If DeepCube is not right for you, change one endpoint URL. Your instrumentation stays exactly the same.
Dual-Destination Collector Config
exporters:
otlp/deepcube:
endpoint: "https://otlp.deepcube.ai"
headers:
API-Key: "YOUR-API-KEY"
otlp/signoz:
endpoint: "your-signoz-endpoint:4317"
service:
pipelines:
traces:
exporters: [otlp/deepcube, otlp/signoz]
metrics:
exporters: [otlp/deepcube, otlp/signoz]Standard OTel Collector config. Same telemetry, two destinations. No code changes required.
Ready to See the Difference?
Start free with DeepCube. Your OTel instrumentation just works.
Start FreeAlways-On Demo
Running right now, unscripted, and nobody started it for you. It is one of our live grids, not a customer's system, but nothing about it is staged: we point chaos at it and hunt the gap live. Watch for a minute, send it to whoever is on call with you, or scroll on and go play with one yourself.
That's our side of it. Now go try the alternative.
See what our customers are saying
Testimonial from the US Defense Information Systems Agency (DISA/disa.mil) talkWatch the testimonial from the DISA TEM talk | Request the full DISA TEM talk video
The Better Way to Monitor and Manage Your Software
Streamlined Setup
Simple integration
Cloud-native and open source friendly
Rapid Root Cause Analysis
Intuitive tooling
Find answers in a single glance. Know the health of your application
AI Powered
AI Assistant by your side
Unlock the power of AI for assistance and resolution
Intuitive Solutions
Conventional and Immersive
Expert tools for every user:
DevOps, SRE, Infra, Education