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New Relic is one of the pioneers of APM, with 100 GB free monthly ingestion on all tiers (source: newrelic.com/pricing, verified 2026-10-10), and one of the most generous free tiers in the industry. We respect that. This page is an honest look at where DeepCube takes a different approach, where New Relic excels, and how you can evaluate both with the same production data.
DeepCube is the product; spatial observability is the category. We are not an APM company, we are a spatial observability company.
Your bill spikes when you need observability most
Source: per-GB ingestion pricing
The Ingestion Anxiety Problem
Your bill spikes when you need observability most.
- $0.40/GB (Original Data option) beyond the free 100 GB: during normal operations, that feels manageable. During an incident, when your systems are flooding logs and traces, your telemetry volume spikes and so does your bill.
- Teams learn to cope by under-instrumenting, adding drop filters, and hesitating before enabling verbose logging during outages.
- Perverse incentive: the moment you need observability the most is the moment it costs the most.
Predictable pricing. Full instrumentation. Zero anxiety.
What If Your Bill Never Changed During an Incident?
Per-node pricing. No ingestion meters.
- Per-node pricing: whether you ingest 100 GB or 1 TB during an outage, your bill stays the same.
- Instrument everything. Log everything. Trace everything. Your cost is predictable: nodes times tier price.
- No drop filters to protect your budget. No anxiety about enabling debug logging in production. Just full observability, all the time.
Zero proprietary agents. Full OTel ecosystem.
Architecture: How We Differ
OpenTelemetry exclusive vs proprietary agents.
DeepCube is built exclusively on OpenTelemetry. No proprietary agents to install, license, or maintain. Your instrumentation works with any OTel-compatible backend, so you are never locked in.
New Relic retrofitted OpenTelemetry support onto an architecture built around proprietary agents, adding native OpenTelemetry support in 2021. DeepCube was built from the ground up for OpenTelemetry, OTel-native from day one. Beyond architecture, DeepCube replaces the dashboard-hopping workflow with a spatial topology where your services, their relationships, and their telemetry data live in a single 3D environment.
| Aspect | DeepCube | New Relic |
|---|---|---|
| Instrumentation | Standard OpenTelemetry SDKs only | Proprietary agents + retrofitted OTel OTLP ingestion |
| Data Ingestion | Direct OTLP (gRPC + HTTP) | Proprietary intake API, OTLP endpoint available |
| Visualization | 3D spatial topology | Dashboards, service maps and notebooks, which we characterize as 2D views (service maps, notebooks, retrieved 2026-10-10) |
| Vendor Lock-in | None. Change one endpoint URL to leave. | Proprietary agents, proprietary NRQL query language, proprietary APIs (source, verified 2026-08-19) |
| OTel Support | Built from the ground up for OTel | OTLP ingestion supported, but platform built on proprietary agents |
| Integrations | OTel ecosystem (community-driven, any backend) | 780+ integrations (source, verified 2026-10-10) |
Tessa starts from the spatial view. You review the fix. You own it.
| Capability | Tessa (DeepCube) | Autopilot (New Relic) |
|---|---|---|
| Codebase Access | Full workspace: read, search, rename, modify | Via the New Relic MCP server ("MCP is available to all accounts"), which brings New Relic data to Claude Code, Antigravity CLI, Codex, Kiro CLI, Claude Desktop and VS Code (source, verified 2026-10-10) |
| Production Context | 3D topology + traces + metrics | Dashboard metrics + traces + NRQL + iRCA causal graph |
| Code Fixes | Shipped and available on every plan. Tessa traces the issue to the source file in your connected workspace and proposes the change. You review the change and own the outcome. | Autopilot itself "recommends actions but does not take them" (source, verified 2026-10-10), and it is GA: "Autopilot is now generally available" (docs release notes, July 20 to 24, 2026, verified 2026-10-10). New Relic issues can be assigned to the GitHub Copilot coding agent, which opens a pull request for developer review (source, verified 2026-10-10). That integration launched on 2025-05-28 as "a limited preview" (press release); New Relic's 2025-07-15 note says its agentic integrations for GitHub Copilot are "now generally available" without saying whether that covers the coding agent (source); both verified 2026-10-10. |
| Pricing | Included in the price of every plan. No AI seat or add-on required, no per-query AI meter. Model quality scales with the plan. | Dual meter: $0.40/GB ingest (Original Data option, beyond free 100 GB) plus consumption-based Advanced Compute (aCCU) on top of $349/user/mo (Pro, annual commit). Advanced Compute lists at $0.606 per aCCU in the docs price list, though the marketing pricing pages still route to Contact Sales, so the rate is knowable but your monthly consumption is not. (verified 2026-10-10, source) |
| Accountability | Human on the loop: Tessa does the work, you own the outcome | Autopilot "recommends actions but does not take them. A person reviews and acts." (source, verified 2026-10-10) |
AI: Tessa vs New Relic Autopilot
A spatial investigation surface, with AI included in every plan.
Tessa connects the telemetry of the environment you are viewing to your connected codebase. Add your repositories as workspaces, and Tessa traces a production issue from the 3D topology straight to the source file, then proposes the fix.
Tessa works in your workspace, in your developer's local checkout. You review the changes. Tessa does the work; you own the outcome. That is how Tessa works: human on the loop.
New Relic Autopilot (formerly SRE Agent), generally available since late July 2026, "recommends actions but does not take them. A person reviews and acts." (source, verified 2026-10-10). Code fixes run through GitHub: "Developers can assign issues created by New Relic to the GitHub Copilot coding agent", which opens a pull request for developer review (source, verified 2026-10-10); that path launched on 2025-05-28 as "a limited preview" (press release, verified 2026-10-10). AI that works in your code is table stakes now. Autopilot keeps a person in charge by design; Tessa works as a human-on-the-loop assistant in your developer's local checkout. The differences are where you investigate and how you pay. In our reading, New Relic's investigation surfaces are 2D: dashboards, service maps and notebooks (New Relic docs, retrieved 2026-10-10); Tessa starts from where you stand in the 3D model (a node, a trace, or the core for the whole system), and phantoms show you, in place, what stops reporting. And New Relic AI usage is billed via CCU-based Advanced Compute, so your AI costs can rise during the same incidents that spike your ingestion costs. Tessa is included in the per-node price.
One price. Everything included.
Pricing: The Full Picture
Scenario: 40 nodes, 10 engineers.
New Relic's pricing appears simple, but the costs add up quickly when you factor in full platform users, data ingestion, and AI features for a production team.
- No per-user platform licensing: DeepCube's platform is priced per node, not per user, so your bill does not grow just because your team does. New Relic charges $349/user/mo (Pro, annual commit) for full platform access; pay as you go is $418.80/user/mo and Core users are $49/user (source, verified 2026-10-10).
- No per-GB surprises: DeepCube does not charge per GB of data ingested. Your bill is the same whether you ingest 100 GB or 1 TB.
- No AI compute charges: Tessa is part of every DeepCube plan at no extra charge. You need no AI seat or add-on, and there is no per-query AI meter to budget for. Every plan can run every Tessa skill, including Code Fix and root-cause analysis; higher plans put a more capable model behind them. No CCU-based billing for AI features.
- Predictable math: Nodes x tier price = monthly cost. Count your application instances and you know your bill.
| Line Item | DeepCube | New Relic |
|---|---|---|
| Platform User Licensing | Per node, not per user | $349/user/mo (Pro, annual commit) x 10 = $3,490 |
| Data Ingestion (500 GB/mo) | Included | $0.40/GB (Original Data option) x 400 GB (after free 100 GB) = $160 |
| Infrastructure Monitoring | N/A | Included (no per-host charge) |
| APM + Logs + Traces | Included | Included (data ingest covers all signals) |
| AI Assistant | Included (Tessa) | Consumption-based Advanced Compute at $0.606 per aCCU list; consumption volume is not forecastable ahead of an incident (source, verified 2026-10-10) |
| Estimated Monthly Total | $1,575 (Analyze, with volume pricing) | $3,650 ($3,490 users + $160 ingest), plus consumption-based Advanced Compute for AI |
New Relic pricing based on Pro edition annual-commit rates from newrelic.com/pricing, verified 2026-10-10. Actual costs vary by usage. DeepCube pricing from deepcube.ai/pricing. All prices USD.
Scope note: this scenario assumes a production team on New Relic Pro. New Relic also offers a free tier (100 GB/mo ingest, with free full-platform access on some plans) that suits individual developers and very small teams; DeepCube's free Start tier serves the same early-stage need. The comparison above reflects a scaled production deployment, where per-user pricing dominates the total.
You don't have to rip and replace
Run Both. Migrate Gradually.
Same telemetry, two destinations, zero re-instrumentation.
- Dual-destination: Your OTel Collector fans out telemetry to both DeepCube and New Relic simultaneously.
- No code changes: If you already use OTel SDKs, your instrumentation does not change.
- If you use New Relic agents: Keep them for legacy services. New services start with OTel + DeepCube. Migrate at your own pace.
- Exit guarantee: If DeepCube is not right for you, change one endpoint URL. Your instrumentation stays exactly the same.
Dual-Destination Collector Config
exporters:
otlp/deepcube:
endpoint: "https://otlp.deepcube.ai"
headers:
API-Key: "YOUR-API-KEY"
otlp/newrelic:
endpoint: "otlp.nr-data.net:4317"
headers:
api-key: "${NEW_RELIC_LICENSE_KEY}"
service:
pipelines:
traces:
exporters: [otlp/deepcube, otlp/newrelic]
metrics:
exporters: [otlp/deepcube, otlp/newrelic]Standard OTel Collector config. Same telemetry, two destinations.
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