# Middleware vs Nadi

Middleware records 35,967 monthly visits with -12.3% month-over-month growth and Freemium, Contact for Pricing pricing. Nadi records 60 monthly visits with -74.9% growth and Free Trial, Freemium, Paid pricing.

| Metric | [Middleware](https://openaitools.app/tool/middleware) | [Nadi](https://openaitools.app/tool/nadi) |
| :--- | :--- | :--- |
| Website URL | https://middleware.io | https://nadi.pro |
| Categories | AI Monitor, Log Management, Large Language Models (LLMs) | AI Monitor, AI Assistant, AI Developer Tools |
| Pricing Model | Freemium, Contact for Pricing | Free Trial, Freemium, Paid |
| Monthly Visits | 35,967 | 60 |
| MoM Growth Rate | -12.3% | -74.9% |
| Primary Market | India | Malaysia |
| Direct Visits | 8,884 | 24 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Middleware

Middleware consolidates the observability signals that usually live in separate tools. Infrastructure monitoring covers servers, containers, serverless functions and managed cloud services across AWS, Azure, GCP and Kubernetes. APM tracks application performance and traces slow requests down to the code path, while log monitoring with AI-assisted search makes it practical to debug high-volume log streams. Real user monitoring and synthetic monitoring add the outside-in view of how actual users and test probes experience the product.

What differentiates the platform is OpsAI, an AI SRE agent that not only detects anomalies but correlates them across signals and proposes remediation. The vendor cites customers reducing debugging and resolution time dramatically, and positions the agent as helping fix problems in production rather than simply paging an engineer. LLM observability extends the same idea to AI applications, letting teams monitor and evaluate model calls in production.

Operationally, Middleware provides a unified dashboard, alerting, a query language, notebooks, session replay, error tracking and continuous profiling, plus SLO monitoring. It integrates with the common cloud and Kubernetes environments and is presented as an alternative to Datadog, New Relic, Dynatrace, Grafana and Coralogix. A free tier makes it easy to start, with paid and enterprise plans for larger data volumes and support needs.

**Pricing & Plans:** Free tier to get started, with paid plans and enterprise pricing available on request.

- **OpsAI SRE Agent:** An AI agent that detects, investigates, and helps auto-fix production issues across infrastructure, APM and RUM signals.
- **Unified infrastructure monitoring:** Monitor servers, containers, serverless workloads and cloud services across AWS, Azure, GCP and Kubernetes from one place.
- **Log monitoring with AI insights:** Correlate and query high-volume logs assisted by AI so debugging does not rely on manual grep-style detective work.
- **APM and distributed tracing:** Track application performance, trace slow requests, and inspect database and endpoint behaviour end to end.
- **LLM observability:** Monitor and evaluate LLM application calls, latency, cost and quality alongside your traditional stack telemetry.

**Strengths:** Single platform for infra, APM, logs, RUM and LLM observability; AI SRE agent aims at remediation, not just alerting; Free tier available to evaluate before committing; Explicitly positioned as an alternative to major legacy vendors

**Limitations:** Full pricing for larger deployments requires contacting sales; Breadth of features can mean a longer initial setup; Advanced AI agent capabilities may vary by plan

[Profile (Markdown)](https://openaitools.app/tool/middleware.md)

## Nadi

Nadi installs into a PHP project in three steps: require the package, run the artisan installer, then deploy. From there it collects ten categories of backend issues — exceptions, queries, queue jobs, HTTP requests, notifications, scheduler runs, commands, gates, logs and mail — each with full stack traces, deduplication and the list of affected users. A JavaScript SDK adds the frontend half: Core Web Vitals, session tracking, JS error capture, page loads, memory, network timings and rage-click detection, with source map deobfuscation so browser stack traces stay readable.

Alerting is handled by a rules engine that supports Slack, Microsoft Teams, Telegram, webhooks and plain email, along with acknowledgement, resolution and alert history. Larger teams get organization-level data isolation, role and permission groups, project groupings, invitations and audit logs, which makes the platform viable where compliance or multi-tenant separation matters. The current release is versioned 2.0.0 and advertised as production ready.

Pricing is unusually transparent for a monitoring tool: a free tier for individuals and side projects, a Pro tier aimed at startups, and an Enterprise tier with SSO, SAML and a 99.9% uptime SLA. The company states that 2,000+ developers use it and that everything can be set up in about two minutes, with a 30-day money-back guarantee on paid plans.

**Pricing & Plans:** Free tier at $0 with 3 projects, 10,000 events per month, error tracking, RUM, traces, email notifications and 2 team members. Pro is $12/month (or $10/month billed yearly), with unlimited projects, 100,000 events per month, Slack/Teams/email alerts, 15 team members and priority support. Enterprise is custom-priced with unlimited events and projects, custom integrations, SSO/SAML, unlimited members and a 99.9% SLA. All plans include a 14-day free trial and a 30-day money-back guarantee.

- **Backend error tracking:** Ten issue types tracked with full stack traces, smart deduplication and affected-user tracking, from exceptions and slow queries to queue jobs and scheduler runs.
- **Real user monitoring:** Core Web Vitals, sessions, JS errors, page loads, network timings and rage-click detection, with source map deobfuscation for readable traces.
- **Multi-channel alerting:** A configurable rules engine that pushes alerts to Slack, Microsoft Teams, Telegram, webhooks or email, with acknowledgement and resolution history.
- **Organization and access control:** Data isolation per organization, team roles and permissions, grouped projects, invitations and complete audit trails.
- **Two-minute setup:** A Laravel package installs in three commands via Composer, with a JavaScript RUM SDK for the browser side.

**Strengths:** Free tier is genuinely usable for side projects and solo developers; Backend error tracking and browser RUM live in one platform, avoiding two dashboards; Organization isolation, roles and audit logs are available without an enterprise-only add-on conversation; Straightforward three-step Composer install documented on the site

**Limitations:** Error tracking SDK support is currently focused on Laravel and JavaScript, with Node.js, Python and Go still listed as coming soon; Event-based pricing means busy or spiky applications can outgrow a tier quickly

[Profile (Markdown)](https://openaitools.app/tool/nadi.md)

## Frequently Asked Questions

### How do Middleware and Nadi compare in monthly traffic?

Middleware has 35,967 monthly visits, while Nadi has 60. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Middleware has a month-over-month growth rate of -12.3%; Nadi has -74.9%.

### How does pricing compare?

Middleware: Freemium, Contact for Pricing. Free tier to get started, with paid plans and enterprise pricing available on request. Nadi: Free Trial, Freemium, Paid. Free tier at $0 with 3 projects, 10,000 events per month, error tracking, RUM, traces, email notifications and 2 team members. Pro is $12/month (or $10/month billed yearly), with unlimited projects, 100,000 events per month, Slack/Teams/email alerts, 15 team members and priority support. Enterprise is custom-priced with unlimited events and projects, custom integrations, SSO/SAML, unlimited members and a 99.9% SLA. All plans include a 14-day free trial and a 30-day money-back guarantee.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Datadog](https://openaitools.app/tool/datadog) | 5,175,760 | -4.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | Unified observability, security and incident response for cloud-scale engineering teams | [.md](https://openaitools.app/tool/datadog.md) |
| 2 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 3 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |
| 4 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 5 | [PromptLayer](https://openaitools.app/tool/promptlayer) | 85,899 | -4.6% | Free Trial, Contact for Pricing | The collaboration layer for AI engineering teams | [.md](https://openaitools.app/tool/promptlayer.md) |
| 6 | [Confident AI](https://openaitools.app/tool/confident-ai) | 83,400 | -3.3% | Freemium, Paid, Contact for Pricing | Standardize LLM evaluation, observability, and red teaming across your whole org | [.md](https://openaitools.app/tool/confident-ai.md) |
| 7 | [Openlayer](https://openaitools.app/tool/openlayer) | 48,415 | -6.4% | Freemium, Contact for Pricing | AI governance, testing, and observability for regulated enterprises | [.md](https://openaitools.app/tool/openlayer.md) |
| 8 | [Fiddler AI](https://openaitools.app/tool/fiddler-ai) | 44,204 | -10.2% | Contact for Pricing | The control plane for trusted enterprise agents and models | [.md](https://openaitools.app/tool/fiddler-ai.md) |
| 9 | [Raindrop](https://openaitools.app/tool/raindrop) | 42,807 | -18.4% | Free Trial, Paid, Contact for Pricing | Find and fix problems in your AI agents before users do | [.md](https://openaitools.app/tool/raindrop.md) |
| 10 | [honeyhive.ai](https://openaitools.app/tool/honeyhive-ai) | 8,835 | -52.5% | Freemium, Contact for Pricing | Observe, evaluate and monitor AI agents in production | [.md](https://openaitools.app/tool/honeyhive-ai.md) |

---
Source: https://openaitools.app/compare/middleware-vs-nadi

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)