SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Middleware records 35,967 monthly visits with -12.3% growth and Freemium, Contact for Pricing pricing.
Full-stack observability with an AI SRE agent that fixes issues
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | arize.com | middleware.io |
| Pricing Model | Paid, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 249.03K (249,028) | 35.97K (35,967) |
| MoM Traffic Delta | +7.67K (+3.2%) | -5.05K (-12.3%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🇮🇳 India (27.3%) |
| Direct Visits / mo | 107.84K | 8.88K |
| User Rating | 4.6 | 4.3 |
| Supported Platforms | Website | Website |

Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.
Full-stack observability with an AI SRE agent that fixes issues
An AI agent that detects, investigates, and helps auto-fix production issues across infrastructure, APM and RUM signals.
Monitor servers, containers, serverless workloads and cloud services across AWS, Azure, GCP and Kubernetes from one place.
Correlate and query high-volume logs assisted by AI so debugging does not rely on manual grep-style detective work.
Track application performance, trace slow requests, and inspect database and endpoint behaviour end to end.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams

Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org

Free / Open-sourceAgent observability, evals and governance for AI platform teams
Free / Open-sourceAgent observability, evals and governance for AI platform teams
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises

Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them

Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents
Free / Open-sourceOpen-source workspace for building, evaluating and shipping AI agents

SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models

Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do