10 Best New Relic AI Alternatives in 2026

New Relic AI is a GenAI assistant built into New Relic’s observability platform. It uses GPT-4 to translate natural language into NRQL queries, explain dashboards and results, analyze stack traces, assist with debugging in your IDE, and generate summaries across teams and languages.

However, it is fundamentally an LLM assistant within a monitoring tool, not an autonomous AI SRE agent. It helps you move faster during investigations, but it does not independently investigate incidents, follow hypotheses, or trace issues across services without guidance. It also does not generate code fixes or execute remediation. Pricing can be complex and unpredictable, combining per-user fees with data ingest charges. And it lacks built-in incident management features like on-call scheduling or status pages, which require additional tools.

This guide compares the 10 best New Relic AI alternatives for teams looking for autonomous investigation, code-level remediation, simpler pricing, and more integrated incident management.

Why look for New Relic AI alternatives?

New Relic is a comprehensive observability platform with useful AI features. But teams evaluate alternatives for practical reasons:

Assistive AI, not autonomous investigation. New Relic AI helps you write NRQL queries and explains logs, dashboards, and stack traces. This accelerates manual investigation but does not replace it. You still need to know what to ask, where to look, and how to connect signals across services. Dedicated AI SRE tools handle the entire investigation autonomously.

Complex, expensive pricing. New Relic bills across per-user fees ($99-349/user/month for full platform access), per-GB data ingest ($0.40-0.60/GB), and optional add-ons (Advanced Compute, extended retention, vulnerability management). A team of 10 Pro users with 500 GB of monthly ingest pays roughly $5,000/month before add-ons. Peer reviews consistently cite surprise bills and pricing complexity as the top complaints.

Per-user pricing gates platform access. Only one full platform user is free. Every additional engineer who needs to debug production issues pays $99-349/month. Basic users get read-only dashboards and cannot investigate traces, use errors inbox, or access APM views. This creates a two-tier team where some engineers can investigate and others cannot.

No autonomous remediation. New Relic AI can help pinpoint and explain code-level errors, but it does not generate pull requests, execute kubectl commands, or run remediation scripts. The gap from diagnosis to fix remains manual.

No built-in on-call or status pages. New Relic provides alerting and notifications but does not include on-call scheduling, escalation routing, incident timelines, or hosted status pages. Teams need PagerDuty or similar alongside it.

8-day default retention. The Standard tier retains data for only 8 days. Extended retention incurs additional per-GB charges. Teams that need 30+ days for trend analysis or compliance face significantly higher bills.

How do New Relic AI alternatives compare?

1. Better Stack

Better Stack does not just help you ask better questions about your data. It investigates the incident for you, finds the root cause, opens a PR to fix it, and manages the on-call response in one product at a flat price with no per-user or per-GB surprises.

What makes Better Stack the strongest New Relic AI alternative?

New Relic AI writes NRQL queries and explains dashboards. Better Stack's AI SRE investigates incidents autonomously the moment an alert fires. It traces error propagation across services using eBPF-generated service maps and OpenTelemetry data, produces root cause documents with evidence chains and log citations, and opens pull requests in GitHub. New Relic AI explains what might be wrong. Better Stack's AI shows what is wrong, why, and how to fix it.

Pricing is the most dramatic difference. New Relic charges per user ($99-349/month) plus per GB ($0.40-0.60) plus add-ons. A 10-person team with 500 GB/month pays $5,000+ before extended retention or Advanced Compute. Better Stack charges $29/responder/month flat regardless of data volume, number of queries, or investigation count. No per-GB charges. No per-user gates on platform access.

New Relic's free tier gives you 1 full platform user and 100 GB. Better Stack's free tier gives you 10 monitors, 3 GB logs, and 2B metrics with no artificial user limit on who can investigate.

On-call and status pages are built in. New Relic sends alerts but does not provide on-call rotation, escalation routing, or hosted status pages. Better Stack includes all three natively. One product replaces New Relic plus PagerDuty plus StatusPage.

The AI shows every query it runs. It works in Slack, Microsoft Teams, and Claude Code via MCP. Every action requires approval.

🌟 Key features

• Autonomous AI investigation triggered by alerts, no manual querying required
• Native telemetry through eBPF and OpenTelemetry with no per-GB pricing
• Service map visualization of error propagation
• Root cause documents with evidence chains, log citations, and resolution steps
• GitHub PR generation for code-related root causes
• Natural language querying with embedded charts (no NRQL required)
• Linear tickets, AI post-mortems, and automated log/trace analysis
• MCP server for Claude Desktop and Claude Code
• On-call rotation, escalation, incident timelines, and hosted status pages
• No per-user access gates on investigation capabilities

➕ Pros

• Autonomous investigation versus New Relic AI's assistive query and explanation features
• $29/responder/month flat versus New Relic's per-user + per-GB + add-on pricing
• Generates PRs and code fixes that New Relic AI does not produce
• On-call and status pages built in versus requiring PagerDuty
• No per-user access tiers (every team member can investigate)
• No NRQL expertise required
• 60-day money-back guarantee
• SOC 2 Type 2, GDPR, ISO 27001

➖ Cons

• Does not offer some of New Relic's breadth of integrated observability capabilities (synthetics, mobile, browser, vulnerability management)

💲 Pricing

$29/responder/month for the full platform. No per-GB, no per-user gates. Free tier covers 10 monitors, 3 GB logs, and 2B metrics. Enterprise pricing available. 60-day money-back guarantee.

2. Datadog Bits AI SRE

Datadog Bits AI SRE is an autonomous AI SRE with native data access inside Datadog. GA since December 2025, validated across 2,000+ environments.

How does Bits AI compare to New Relic AI?

Both are AI features inside observability platforms. Bits AI SRE is more autonomous: it investigates incidents end-to-end without manual prompting, explores multiple root causes in parallel, and suggests code fixes via the Dev Agent. New Relic AI helps you write queries and explains results but does not pursue investigations autonomously.

For teams evaluating both platforms, Bits AI provides deeper autonomous investigation. iFood reports 70% MTTR reduction. Published pricing at $500/20 investigations per month.

🌟 Key features

• Autonomous investigation without manual prompting
• Native access to full Datadog telemetry
• Code fix suggestions via Dev Agent
• RBAC, HIPAA compliance

➕ Pros

• More autonomous than New Relic AI's assistive model
• Code fix generation New Relic does not offer
• 2,000+ environments validated
• Published per-investigation pricing

➖ Cons

• Per-investigation pricing on top of Datadog platform costs
• Only valuable inside Datadog ecosystem
• Vendor lock-in risk similar to New Relic
• Competing enterprise platform with its own pricing complexity

💲 Pricing

$500 per 20 investigations/month (annual). 14-day free trial.

3. Resolve AI

Resolve AI is a multi-agent AI SRE founded by OpenTelemetry co-creators. $125M at $1B valuation. Customers include Coinbase, DoorDash, MongoDB, Salesforce, and Zscaler.

What does Resolve AI offer beyond New Relic AI?

New Relic AI helps you query and understand your telemetry. Resolve AI replaces the human investigation with a multi-agent system that pursues parallel hypotheses across code, infrastructure, and telemetry, then generates PRs, kubectl commands, code fixes, and scripts. It connects to New Relic as a data source, layering autonomous investigation on top of existing New Relic deployments.

Coinbase reports 72% faster critical incident investigation. DoorDash reports 87% faster.

🌟 Key features

• Multi-agent parallel hypothesis testing
• Generates PRs, kubectl commands, code fixes, scripts
• Connects to New Relic as a data source
• SOC 2 Type II, GDPR, HIPAA

➕ Pros

• Autonomous investigation versus New Relic AI's assistive features
• Can layer on existing New Relic deployment
• Enterprise-proven (Coinbase, DoorDash, Salesforce)
• Code-level remediation

➖ Cons

• Pricing not public, reportedly $1M+/year
• No built-in observability or incident management
• Adds another vendor on top of New Relic

💲 Pricing

Free trial. Custom enterprise pricing.

4. incident.io AI SRE

incident.io AI SRE is an AI investigation agent inside a mature incident management platform.

What does incident.io provide that New Relic AI does not?

New Relic AI assists with queries. incident.io investigates root causes, identifies the exact PR behind failures, drafts code fixes, and manages the full incident lifecycle: on-call, escalation, status pages, and post-mortems. New Relic provides alerting but routes on-call to PagerDuty. incident.io handles both investigation and coordination natively.

Per-user pricing (~$31-45/user/month) is simpler and cheaper than New Relic's $99-349/user plus per-GB model.

🌟 Key features

• Root cause investigation with PR identification
• Code fix drafting from Slack
• AI-native post-mortems
• Full on-call, status pages, escalation

➕ Pros

• Autonomous investigation beyond New Relic's assistive AI
• Incident lifecycle New Relic does not include (on-call, status pages)
• Simpler pricing
• Code fixes and PR generation

➖ Cons

• No built-in observability (depends on New Relic or others)
• AI SRE pricing requires sales
• Separate tool from your observability platform

💲 Pricing

Platform ~$31-45/user/month. AI SRE pricing requires demo.

5. Rootly AI SRE

Rootly AI SRE is an AI investigation layer on an incident platform used by NVIDIA, LinkedIn, Figma, Canva, and Replit since 2021.

What does Rootly offer beyond New Relic AI?

Rootly provides incident management, on-call, retrospectives, and status pages alongside transparent chain-of-thought AI investigation. New Relic provides observability with an AI assistant but no incident lifecycle management. Rootly can connect to New Relic as a data source.

At $20/user/month, Rootly's incident management costs less per user than a single New Relic full platform seat.

🌟 Key features

• Chain-of-thought transparency
• Full on-call, retrospectives, status pages
• MCP server for IDE integration
• Connects to New Relic as data source

➕ Pros

• Incident lifecycle New Relic lacks
• $20/user/month versus New Relic's $99-349/user
• Can complement existing New Relic deployment
• NVIDIA, LinkedIn, Figma customers

➖ Cons

• No fix generation
• No built-in observability
• Separate tool

💲 Pricing

14-day free trial. Starts at $20/user/month.

6. Deeptrace

Deeptrace builds a living knowledge graph for compounding root cause accuracy. Integrates with New Relic alongside Datadog, Grafana, PagerDuty, and Sentry.

What does Deeptrace offer beyond New Relic AI?

New Relic AI answers questions about your data. Deeptrace builds a persistent architectural model that autonomously investigates, generates PRs, updates runbooks, and creates Linear tickets. It integrates with New Relic as a data source, adding autonomous investigation on top.

Evidence-backed root causes with citations in 2-3 minutes. Free Startup tier.

🌟 Key features

• Living knowledge graph integrating with New Relic
• PR generation, runbook updates, Linear tickets
• 70%+ root cause accuracy
• Under 1 hour setup

➕ Pros

• Autonomous investigation layered on New Relic
• Generates PRs and remediation artifacts
• Free Startup tier
• Complements existing deployment

➖ Cons

• 1,000 alerts/month Startup cap
• Early-stage ($5M seed)
• No incident management

💲 Pricing

Startup: free trial, 1,000 alerts/month. Enterprise: custom.

7. Cleric

Cleric is a self-learning AI SRE. Gartner Cool Vendor 2025. 200,000+ investigations, 92% actionable findings.

How does Cleric compare to New Relic AI?

New Relic AI writes queries and explains results. Cleric investigates autonomously using hypothesis trees and self-learning memory. It integrates with New Relic alongside Datadog, Prometheus, and Kubernetes. Its investigation depth and transparency exceed New Relic's assistive AI, with hypothesis trees showing exactly how conclusions were reached.

Free to start. No per-user or per-GB pricing.

🌟 Key features

• Hypothesis-driven investigation
• Self-learning memory
• Integrates with New Relic
• SOC 2 Type II

➕ Pros

• Autonomous investigation beyond New Relic's assistive AI
• Layers on existing New Relic deployment
• Free to start
• Gartner Cool Vendor

➖ Cons

• Read-only, no remediation
• No incident management
• No built-in observability

💲 Pricing

Free to start. Custom plans available.

8. IncidentFox

IncidentFox is a YC W26-backed AI investigator with 300+ built-in tools.

What does IncidentFox offer versus New Relic AI?

IncidentFox delivers executable fix scripts with one-click approval and auto-learns your stack with zero setup. Where New Relic AI assists your manual investigation, IncidentFox investigates autonomously and delivers actionable fixes. Free to start, open core under Apache 2.0.

🌟 Key features

• 300+ built-in tools
• Executable fix scripts
• Zero-setup auto-learning
• Open core (Apache 2.0)

➕ Pros

• Executable fixes versus New Relic's assistive AI
• Free to start versus $99-349/user/month
• Open core
• Zero-setup

➖ Cons

• Very early-stage (YC W26)
• Slack-only
• No built-in observability
• SOC 2 in progress

💲 Pricing

Free to start. Enterprise pricing requires demo.

9. Traversal

Traversal is an enterprise AI SRE on causal ML. $53M from Sequoia and Kleiner Perkins. Customers include DigitalOcean, PepsiCo, American Express, Cloudways.

How does Traversal compare to New Relic AI?

New Relic AI is an LLM assistant. Traversal uses a Production World Model and Causal Search Engine for deterministic root cause reasoning. It executes rollbacks and code changes. American Express reports 82% root cause accuracy across 250 billion daily logs. Where New Relic AI helps you investigate, Traversal investigates for you and can act on what it finds.

🌟 Key features

• Production World Model with Causal Search Engine
• Remediation execution
• On-prem, BYOM deployment
• $53M from Sequoia, Kleiner Perkins

➕ Pros

• Deterministic causal reasoning versus LLM-based assistance
• Executes remediation New Relic AI cannot
• Enterprise customers (American Express, DigitalOcean)
• On-prem for regulated environments

➖ Cons

• Enterprise pricing only
• No built-in observability
• Complex deployment

💲 Pricing

Enterprise pricing. Requires demo.

10. Dash0 Agent0

Dash0 Agent0 is six specialized agents inside an OpenTelemetry-native observability platform.

How does Dash0 compare to New Relic AI?

Both are observability platforms with AI features. Dash0 differentiates with six specialized agents for investigation, PromQL, OTel onboarding, trace analysis, dashboards, and frontend. It is OpenTelemetry-native with portable instrumentation and no vendor lock-in. Where New Relic uses NRQL, Dash0 generates standard PromQL. Transparent pricing at $50/month versus New Relic's multi-dimensional billing.

🌟 Key features

• Six specialized agents
• OTel-native observability
• Standard PromQL (no NRQL lock-in)
• $50/month starting price

➕ Pros

• Open-standards based versus New Relic's proprietary NRQL
• Transparent pricing versus multi-dimensional billing
• Six specialized agents versus one generalist assistant
• No vendor lock-in

➖ Cons

• Still in Beta
• Smaller ecosystem than New Relic's 500+ integrations
• No fix generation
• No incident management

💲 Pricing

Free trial. Starts at approximately $50/month.

Final thoughts

New Relic gives you a solid observability stack, and its GenAI assistant is genuinely useful when you’re digging through data. It can speed up queries, explain what you’re seeing, and help you move faster during incidents. But it still leaves the heavy lifting to you. You’re the one investigating, connecting the dots, and fixing the issue. The AI just helps along the way. Add in layered pricing and missing incident management, and the experience can feel fragmented.

If you want something that actually takes ownership of the workflow, from detection to fix, that’s where newer platforms come in. Better Stack is built around that idea. It handles telemetry, investigation, remediation, and incident management in one place, without the pricing complexity or extra tools.

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