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Every observability platform makes promises. We prefer to show you the differences and let you decide. Below is an honest comparison of DeepCube against the tools you may already be using. We acknowledge competitor strengths where they exist, because earning your trust matters more than winning a feature checkbox war.

Feature Comparison

Capability DeepCube Datadog New Relic Dynatrace Grafana SigNoz
3D Spatial Investigation Surface Yes No: 2D investigation surfaces (Cloudcraft's 3D is a cloud-architecture diagram; source, verified 2026-10-10) No: 2D investigation surfaces (dashboards, service maps, notebooks; source, verified 2026-10-10) No: 2D investigation surfaces (Smartscape dependency graph; source, verified 2026-10-10) No: 2D investigation surfaces (dashboards; the Knowledge Graph entity graph, source, verified 2026-10-10) No: 2D investigation surfaces (dashboards, charts, service map; source, verified 2026-10-10)
AI That Works in Your Code Tessa (bundled) Bits Code (GA): fixes and opens PRs, never auto-merges; billed in AI Credits Autopilot (GA; recommends actions, a person acts); code fixes via the GitHub Copilot coding agent (limited preview at its 2025-05-28 launch) Live Debugger in the IDE (GA, source); remote MCP server to coding agents (GA, source), verified 2026-10-10 Assistant + gcx CLI / MCP (no generally available first-party code-fix flow); a desktop app that works with your code is in private preview (2026-07-31, source) Noz (in-product, query/build; beta)
OpenTelemetry Native OpenTelemetry only, no proprietary agent Accepts OTel Accepts OTel Accepts OTel Yes Yes
No Proprietary Agents Yes dd-agent NR agents OneAgent Yes Yes
Transparent Pricing Per-node Per-product + per-GB Per-user + usage 37 line items across 10 categories Usage-based Simple usage-based
AI Included in All Tiers Yes: AI included in the per-node price on every plan, no AI seat or add-on Separate (metered AI Credits) Consumption-based Davis in Full-Stack; Agentic Operations metered at $0.10 per AI unit Add-on Included from the $49 Teams plan; free while in beta, post-beta pricing not stated

See how DeepCube compares

Choose Your Comparison

DeepCube vs Datadog

Stop searching dashboards. Start seeing your system. A 3D investigation surface, one per-node price with AI included, OpenTelemetry with no proprietary agent to install.

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DeepCube vs New Relic

Investigate in a 3D space, not 2D dashboards and service maps. One per-node price with AI included, no per-user seats and no per-unit AI billing. Phantoms show what stops reporting. OpenTelemetry only.

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DeepCube vs Dynatrace

Smartscape is a 2D graph; DeepCube is a 3D space you investigate in. One per-node price with AI included, no per-unit AI billing. Phantoms show what stops reporting. OpenTelemetry only, no OneAgent.

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DeepCube vs Grafana

Grafana investigates in 2D dashboards and an entity graph; DeepCube is a 3D space you move through. One per-node price with AI included, no per-seat or per-token AI billing. Phantoms show what stops reporting. The same OpenTelemetry openness.

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DeepCube vs SigNoz

Same OTel philosophy. Different vision for what comes next. AI diagnosis and spatial visualization on top.

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DeepCube vs Elastic

Observability should be simple, not an infrastructure project. No cluster management, AI in every tier.

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DeepCube vs Splunk

Modern observability without the legacy baggage. One product, one vision, no acquisition uncertainty.

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LLM Observability

Building AI applications? See how DeepCube compares to LLM-specific observability tools.

LLM Overview

LLM tools trace AI calls and track tokens but cannot correlate with application health. DeepCube gives you both.

Full Comparison

DeepCube vs Arize Phoenix

Best LLM eval framework with 40+ auto-instrumentations. No application correlation or service topology.

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DeepCube vs LangSmith

Framework-agnostic LLM tracing with prompt playground and OpenTelemetry ingestion. Limited visibility beyond the LLM layer.

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DeepCube vs Langfuse

Open-source LLM tracing with prompt management. No application-level monitoring or spatial visualization.

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DeepCube vs Helicone

Simple proxy-based LLM gateway with cost tracking. No application-level tracing beyond the API boundary.

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Your system in 3D. AI included. One meter.

Why Teams Switch to DeepCube

  • See your system, not dashboards: Navigate your application topology in 3D. Understand service relationships spatially instead of hunting through tabs.
  • AI included in the per-node price: Tessa works in your codebase as a workspace, diagnoses issues from production telemetry and the spatial model, and proposes the fix. You review it. You own it. Its allowance comes with every plan, with no AI credits, AI seats or per-query billing.
  • See what is missing: DeepCube draws what your telemetry implies but does not show. When messages keep arriving and the consumer stops reporting, the missing side appears in the model as a phantom.
  • OpenTelemetry only: No proprietary agents to install, license, or maintain. Your instrumentation works with any OTel-compatible backend.
  • Predictable pricing: Per-node pricing with AI included. No per-GB charges, no per-investigation fees, no surprise bills.
  • No rip and replace: Run DeepCube alongside your current tool. Same OTel collectors, same SDKs. Migrate one service at a time.

See what our customers are saying

Testimonial from the US Defense Information Systems Agency (DISA/disa.mil) talk

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The Better Way to Monitor and Manage Your Software

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