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Quick Trust Line
- Tools reviewed
- 100
- Last checked
- September 28, 2026
- Reviewed by
- top100.ai software rankings editor
- What we checked
- Our rankings combine feature depth, audience fit, and market signals; verify live pricing with the vendor before you buy.
Choosing an AI observability platform is less about collecting the most dashboards and more about seeing what your AI application is doing when real users and real data hit it. We compared 100 tools, then shortlisted 10 with strong fits across application monitoring, LLM tracing, evaluation, model monitoring, and AI security. The top AI observability platforms below are ranked with scores and usage signals, but the right choice still depends on what you need to inspect and how much setup your team can own.
Start here
For broad infrastructure and application visibility: Start with Datadog. Its coverage spans infrastructure monitoring and application performance monitoring, including distributed tracing.
For LLM tracing and evaluation: Compare Arize AI and Maxim. Both target AI application workflows, with Maxim also covering experimentation and agent simulation.
For a more focused starting point: Consider HoneyHive for AI evaluation and observability, or OpenLIT if open-source GenAI and LLM observability is a priority.
At-a-glance leaderboard
| Rank | Platform | Score | Best for | Monthly visits | Starting price |
|---|---|---|---|---|---|
| #1 | Datadog | 95/100 | DevOps engineers | 5.7M | Infrastructure Monitoring Free: $0 |
| #2 | Arize AI | 94/100 | AI engineers | 235.4K | AX Pro: $50 |
| #3 | Maxim | 94/100 | AI engineers | 162.5K | Check vendor pricing |
| #4 | HoneyHive | 94/100 | AI engineers | 19.0K | Developer: Free |
| #5 | Fiddler AI | 94/100 | Data scientists | 57.2K | Contact sales |
| #6 | Aporia | 94/100 | AI security engineers | 7.9K | Free: $0/month |
| #7 | WhyLabs | 94/100 | Data scientists | 5.3K | Free |
| #8 | Traceroot.AI | 93/100 | Developers | 7.0K | Starter: $49/month |
| #9 | OpenLIT | 93/100 | AI engineers | 7.2K | Check vendor pricing |
| #10 | Portkey | 93/100 | AI engineers | 226.2K | Check vendor pricing |
Monthly visits are a market-interest signal, not a product-quality score. The ranking score and the stated use case are more useful for building a shortlist; visit volume can help you understand how widely a platform is being explored.
Quick filters
| If you need... | Start with | Why it belongs on the shortlist |
|---|---|---|
| Broad infrastructure and APM coverage | Datadog | Infrastructure monitoring plus distributed tracing, service maps, error tracking, and profiling |
| GenAI tracing and evaluation | Arize AI | Combines GenAI tracing with evaluation |
| Agent testing and lifecycle workflows | Maxim | Prompt IDE, versioning, chains, deployment, and agent simulation and evaluation |
| Open-source LLM tracing | OpenLIT | Application and request tracing with detailed span tracking |
How to narrow the list
Start with the system you need to observe. A team responsible for cloud infrastructure and application performance will likely value broad monitoring and distributed tracing. A team shipping an LLM feature may instead need to inspect model interactions, evaluate outputs, or test agents. Those are related jobs, but they are not interchangeable: an infrastructure dashboard does not automatically give you the AI-specific evaluation workflow you need.
Next, decide whether observability is the whole job or one part of a larger lifecycle. Arize AI, HoneyHive, and Fiddler AI emphasize observability alongside evaluation or model monitoring. Maxim adds experimentation and agent simulation. Portkey combines observability with an AI gateway and prompt engineering. If you only need traces, a broader platform can add complexity; if you need to debug, evaluate, and govern an application, a single-purpose tracing tool may leave gaps.
Finally, pressure-test deployment effort and cost. Some products advertise free access or an entry plan, while others route pricing through sales. A free tier is useful for proving a workflow, but check its quotas and the unit used to calculate usage. Aporia, for example, describes pricing in Guardrail Units; Datadog's extensive product catalog can also make the final bill harder to reason about. Treat the first demo as a sizing exercise, not just a feature tour.
Ranking model
Scores reflect the overall fit of each platform for this category, not a guarantee that it will fit every stack. We weighed four practical dimensions when comparing the shortlist:
| Dimension | What we considered |
|---|---|
| Observability depth | The stated monitoring, tracing, and investigation capabilities |
| AI workflow fit | Evaluation, experimentation, agent, or LLM-specific workflows |
| Breadth and flexibility | How well the platform supports adjacent monitoring or application needs |
| Practical adoption | Audience fit, setup considerations, pricing clarity, and market-interest signals |
The 10 leading AI observability platforms
- DevOps engineers monitoring cloud infrastructure and applications
- Free up to 5 hosts
- Starts at Infrastructure Monitoring Free: $0
- Monthly visits: 5.7M
When observability stretches from hosts and Kubernetes to application traces and incident response, Datadog's breadth is its clearest advantage. Its catalog covers infrastructure, security, digital experience, software delivery, and service management; the monitoring features include hosts, containers, serverless, networks, and APM. For a DevOps team that wants a broad platform rather than a narrow LLM-only tool, that range makes Datadog the strongest overall fit in this ranking.
Why it is top-ranked
| Scoring dimension | Assessment |
|---|---|
| Observability depth | Infrastructure monitoring plus APM and distributed tracing |
| Coverage | Hosts, containers, Kubernetes, serverless, and network monitoring |
| Application investigation | Service maps, error tracking, and continuous profiling |
| Overall score | 95/100; highest score in this shortlist |
Best fit
DevOps teams responsible for infrastructure and application performance.
Organizations that want monitoring and observability alongside adjacent security and service-management capabilities.
Teams that need distributed tracing as part of a broader investigation workflow.
Limitations
The broad product catalog can make it difficult to work out which modules you need.
Its pricing structure can be complex, so validate the costs for your actual services and usage before committing.
Teams looking only for a focused LLM evaluation workflow may prefer a more AI-specific option.
Shortlist Datadog if: You want broad cloud and application observability under one roof and are prepared to spend time narrowing the product and pricing scope.
- AI engineers building and monitoring AI applications
- Free plan available
- Starts at AX Pro: $50
- Monthly visits: 235.4K
For teams that need to inspect AI behavior rather than only service health, Arize AI puts GenAI tracing and evaluation front and center. Its stated scope also includes ML and computer vision observability, giving teams working across different model types a reason to consider it. The trade-off is budget: the listed AX Pro price starts at $50, and pricing may be a concern for smaller teams.
Why it is top-ranked
GenAI tracing makes the platform directly relevant to AI application investigations.
Evaluation sits alongside observability, so the workflow reaches beyond simply collecting traces.
Its AI-focused scope makes it a strong alternative when general infrastructure monitoring is not the main requirement.
Best fit
AI engineers who need to trace and evaluate GenAI applications.
Teams looking to cover ML or computer vision observability as well as LLM workflows.
Product groups that want evaluation and observability considered together.
Limitations
Pricing may be a concern for smaller teams.
If your priority is broad infrastructure monitoring, compare its AI focus with Datadog's wider monitoring scope.
Shortlist Arize AI if: GenAI tracing and evaluation are central to your production workflow, and the starting price fits your budget.
- AI engineers managing application experimentation and evaluation
- Free access available; see vendor for plan details
- Starts at Check vendor pricing
- Monthly visits: 162.5K
Maxim makes a case for teams that want more than post-deployment visibility. Its feature set includes a prompt IDE, versioning, chains, deployment, and agent simulation and evaluation. That lifecycle coverage is useful when the same group iterates on prompts, tests agent behavior, and needs to observe the resulting application. Expect to bring technical expertise to setup, and confirm pricing directly before planning a rollout.
Why it is top-ranked
Experimentation features connect prompt work and deployment with observability.
Agent simulation and evaluation give teams a way to test agent workflows, not just monitor them.
Its broad AI lifecycle scope earns a high score, though it is less suited to teams seeking a simple, plug-in monitoring tool.
Best fit
AI engineering teams iterating on prompts and application behavior.
Teams that need agent simulation and evaluation alongside deployment workflows.
Groups that want to connect experimentation with production observability.
Limitations
Setup and use may require technical expertise.
Pricing is not presented as a clear starting figure; ask the vendor to confirm costs and plan limits.
Shortlist Maxim if: Your team wants experimentation, agent evaluation, and observability to sit within one AI application workflow.
- AI engineers testing and monitoring LLM applications
- Free 10K events per month
- Starts at Developer: Free
- Monthly visits: 19.0K
HoneyHive focuses squarely on AI application work: evaluation and observability are its listed core capabilities, with prompt management also included in its free-access offer. That makes it an appealing starting point for engineers who want to test and monitor an LLM application without first adopting an all-purpose infrastructure suite. Plan for some integration work, though; this is not a no-setup monitoring switch.
Best fit
AI engineers building and evaluating LLM applications.
Teams that want observability and prompt management in the same shortlist.
Developers who can use the free 10K monthly events to assess the workflow before expanding.
Limitations
Initial setup and integration effort may be required.
Teams that need broad infrastructure or network monitoring should assess a wider platform too.
Shortlist HoneyHive if: You want a focused AI evaluation and observability workflow and its free monthly event allowance is enough to start testing.
- Data scientists monitoring LLM and ML systems
- Free plan available
- Starts at Contact sales
- Monthly visits: 57.2K
Fiddler AI belongs on the list when your observability requirements span both LLM and traditional ML systems. Its feature set combines LLM and ML monitoring with Fiddler Trust ServiceGuardrails, positioning it for teams that want to monitor models and protect AI applications in the same broader conversation. The catch is procurement: specific plan pricing requires a sales conversation, so budget comparisons take more effort.
Best fit
Data science teams monitoring both LLM and ML workloads.
Organizations looking for model monitoring alongside guardrails.
Teams comfortable discussing requirements with sales to determine plan fit.
Limitations
Specific pricing is not self-serve; contact sales for plan details.
Teams that need a clearly priced entry point may find it harder to compare costs early.
Shortlist Fiddler AI if: You need LLM and ML monitoring together and can work through a sales-led pricing process.
- AI security engineers applying runtime guardrails
- 1M GRUs free
- Starts at Free: $0/month
- Monthly visits: 7.9K
Aporia's strength is guardrails: its stated capabilities focus on AI security and reliability, with real-time streaming support and issue resolution also included in its offer. The free allowance of 1M GRUs gives teams a concrete way to explore the product, but the pricing unit itself deserves attention. GRU-based pricing can make it harder to compare plans unless you first estimate the volume your application will generate.
Best fit
AI security engineers focused on reliability and guardrails.
Teams that need real-time streaming support in their AI workflow.
Buyers who can estimate usage in Guardrail Units before choosing a plan.
Limitations
Pricing complexity is based on GRUs, so understand the unit and expected consumption.
Teams seeking broad infrastructure monitoring may need another platform for that job.
Shortlist Aporia if: AI security and reliability guardrails are your priority, and you can forecast usage in GRUs.
- Data scientists monitoring models and AI application security
- Free 1 Project
- Starts at Free
- Monthly visits: 5.3K
WhyLabs combines AI observability with LLM security and model monitoring, making it a relevant option for teams that need to keep an eye on both model behavior and application risk. A free project offers a way to evaluate the basics. Paid pricing can be custom, however, so get a quote early if your selection depends on predictable costs or multiple projects.
Best fit
Data scientists who need AI observability and model monitoring.
Teams that want LLM security included in their tool evaluation.
Buyers who want to begin with a free project before discussing a larger deployment.
Limitations
Custom pricing may require a conversation with the vendor.
Confirm the scope and cost of paid plans before treating the free project as a long-term option.
Shortlist WhyLabs if: Model monitoring and LLM security matter together, and you are comfortable confirming paid pricing directly.
- Developers debugging AI applications
- 7-day free trial
- Starts at Starter: $49/month
- Monthly visits: 7.0K
Traceroot.AI stands out for pairing AI-native, open-source observability with automated bug fixing that can create GitHub issues and pull requests. That connection between spotting a problem and creating a developer-facing follow-up is a useful angle for engineering teams. The listed Starter plan is $49 per month, with a seven-day trial; check how its open-source flexibility fits your deployment and debugging process before standardizing on it.
Best fit
Developers who want AI-native observability and debugging in one workflow.
Teams interested in automated GitHub issue and pull request creation.
Buyers who want a short trial before evaluating a $49-per-month Starter plan.
Limitations
The seven-day trial is brief for teams with a slow evaluation process.
Confirm setup expectations and how the workflow fits your existing debugging practices.
Shortlist Traceroot.AI if: You want open-source observability with a path from identified bugs to GitHub issues and pull requests.
- AI engineers instrumenting GenAI and LLM applications
- Open-source GenAI and LLM observability
- Starts at Check vendor pricing
- Monthly visits: 7.2K
OpenLIT's appeal is straightforward: it is an open-source GenAI and LLM observability platform with application and request tracing, unified traces and metrics, and detailed span tracking. The stated offer does not require login or signup, which lowers the barrier to trying it. The trade-off is operational rather than financial: expect to handle setup and configuration, then verify what support or hosted options are available for your needs.
Best fit
AI engineers who want open-source GenAI and LLM observability.
Teams that need application/request traces and detailed span tracking.
Developers comfortable managing setup and configuration themselves.
Limitations
Setup and configuration are required.
Confirm pricing and any hosted or paid options with the vendor if you need them; the listed pricing is unclear.
Shortlist OpenLIT if: You value open-source LLM observability and are prepared to own the configuration work.
- AI engineers managing and observing AI applications
- Free trial available
- Starts at Check vendor pricing
- Monthly visits: 226.2K
Portkey brings observability together with an AI gateway for LLM routing and collaborative prompt engineering. That broader control-panel approach can suit teams that are still shaping how AI requests move through an application, not just reviewing traces after the fact. One practical trade-off to test is latency: the platform may add some, though caching and edge compute are described as ways to minimize it. Pricing needs a direct check with the vendor.
Best fit
AI engineers who want an AI gateway and observability in one platform.
Teams managing LLM routing and collaborative prompt work.
Buyers who want to evaluate broader AI application management rather than tracing alone.
Limitations
The platform may introduce additional latency; test it with your own request path.
Starting pricing is unclear, so confirm costs and plan details directly.
Shortlist Portkey if: You want to combine LLM routing, prompt engineering, and observability, and you can validate latency in your own stack.
More tools to compare
- Monitoring and debugging production LLM apps
- 10,000 free requests
- Starts at Free
- Monthly visits: 85,181 monthly visits
- Production ML model monitoring
- 14-day free trial
- Starts at Check vendor pricing
- Monthly visits: 487 monthly visits
- Data quality monitoring teams
- 14-day free trial
- Starts at Check vendor pricing
- Monthly visits: 22,358 monthly visits
- AI agent observability
- Unlimited LLM requests
- Starts at $0 forever
- Monthly visits: 853 monthly visits
- AI evaluation and production monitoring
- 20,000 inferences/month
- Starts at Check vendor pricing
- Monthly visits: 46,692 monthly visits
- Security and DevOps data pipelines
- Starts at Check vendor pricing
- Monthly visits: 672 monthly visits
- Voice AI observability and testing
- Starts at $500/month
- Monthly visits: 9,425 monthly visits
- Unified access to AI models
- Starts at Check vendor pricing
- Monthly visits: 1.3M monthly visits
- LLM observability and evaluation
- 10k logs/month
- Starts at Check vendor pricing
- Monthly visits: 8,937 monthly visits
- LLM observability and evaluations
- Free plan available
- Starts at Check vendor pricing
- Monthly visits: 27,539 monthly visits
- LLM tracing and prompt A/B testing
- 50 MB processed data/month
- Starts at $8/month
- Monthly visits: 345 monthly visits
- Enterprise identity governance
- Up to 500 free implementation hours
- Starts at Check vendor pricing
- Monthly visits: 13,437 monthly visits
- LLM evaluation and observability
- 3K logs/month
- Starts at $0/month
- Monthly visits: 5,866 monthly visits
- Comparing multiple AI models side by side
- Starts at $12/month
- Monthly visits: 695,340 monthly visits
- Observability and evaluations for AI agents
- Free plan available
- Starts at Check vendor pricing
- Monthly visits: 4,492 monthly visits
- Dev teams securing code, cloud, and runtime
- 2 AI AutoFixes/month
- Starts at $0/month
- Monthly visits: 686,648 monthly visits
- Automated Kubernetes troubleshooting
- 1 cluster, up to 10 nodes
- Starts at $2 per vCPU/month
- Monthly visits: 113 monthly visits
- Voice and chat agent testing
- Starts at Check vendor pricing
- Monthly visits: 4,662 monthly visits
- Multicloud FinOps cost optimization
- Free trial available
- Starts at Check vendor pricing
- Monthly visits: 3,047 monthly visits
- E-commerce AI visibility
- Free trial available
- Starts at Check vendor pricing
- Monthly visits: 106,836 monthly visits
- AI insights from marketing dashboards
- Free plan available
- Starts at Check vendor pricing
- Monthly visits: 275,777 monthly visits
- AI agent identity and payments
- Free plan available
- Starts at Check vendor pricing
- Monthly visits: 323,862 monthly visits
- AI search visibility tracking for marketing teams
- Free trial available
- Starts at $95/month
- Monthly visits: 234,578 monthly visits
- No-code interactive creation
- Starts at Check vendor pricing
- Monthly visits: 132,906 monthly visits
- AI-powered visual regression testing
- Free plan: 50 pages
- Starts at $699/month, billed annually
- Monthly visits: 170,009 monthly visits
- Safety-critical mobility software teams
- Starts at Check vendor pricing
- Monthly visits: 39,225 monthly visits
- Tracking and improving brand visibility in AI answers
- Starts at $39/month
- Monthly visits: 65,219 monthly visits
- Enterprise AI orchestration
- Starts at Check vendor pricing
- Monthly visits: 27,786 monthly visits
- AI-powered creator campaign management
- Starts at $1,999/month
- Monthly visits: 56,601 monthly visits
- High-stakes AI research
- 5 free research queries
- Starts at Check vendor pricing
- Monthly visits: 85,039 monthly visits
- Copy-paste AI SDK agent patterns
- Free plan available
- Starts at $0 one-time
- Monthly visits: 54,607 monthly visits
- Building production-ready apps with AI agents
- 10 credits/month
- Starts at Free
- Monthly visits: 28,925 monthly visits
- Hosting and deploying AI models via API
- Free plan available
- Starts at From $0.30/1M input tokens
- Monthly visits: 38,396 monthly visits
- AI visual inspection in manufacturing
- Free trial available
- Starts at Check vendor pricing
- Monthly visits: 20,989 monthly visits
- Developers building image and video APIs
- 1,000 free credits
- Starts at From $0.005 per generation
- Monthly visits: 22,704 monthly visits
- Multi-provider AI observability and cost control
- Starts at Check vendor pricing
- Monthly visits: 348 monthly visits
- AI voice agent observability
- Starts at Check vendor pricing
- Monthly visits: 309 monthly visits
- AI model serving across hybrid and multi-cloud
- Free trial available
- Starts at Check vendor pricing
- Monthly visits: 13,437 monthly visits
- AI-powered product quality issue detection
- Starts at Check vendor pricing
- Monthly visits: 7,782 monthly visits
- Tracing and evaluating AI applications
- 50K spans/month
- Starts at Free; paid plans from $25/month
- SaaS AI visibility optimization
- Starts at Check vendor pricing
- Monthly visits: 4,462 monthly visits
- Financial data discovery and visualization
- Starts at Check vendor pricing
- Monthly visits: 10,961 monthly visits
- AI video security monitoring for commercial properties
- Starts at Check vendor pricing
- Monthly visits: 8,934 monthly visits
- Secure AI deployment for businesses
- Free plan available
- Starts at Check vendor pricing
- Monthly visits: 5,523 monthly visits
- Gaming community feedback and bug reports
- 30-day free trial
- Starts at Check vendor pricing
- Monthly visits: 4,662 monthly visits
- Product teams managing the full software lifecycle
- Free forever for 5 users
- Starts at $14 per user/month
- Monthly visits: 7,177 monthly visits
- Real-time open-source intelligence
- Free plan available
- Starts at Check vendor pricing
- Monthly visits: 3,943 monthly visits
- Roofers generating property reports
- 3 free reports
- Starts at $12/month
- Monthly visits: 4,247 monthly visits
- AI brand visibility monitoring
- Free trial available
- Starts at $39/month
- Monthly visits: 3,193 monthly visits
- AI-powered multi-cloud application security
- Starts at Check vendor pricing
- Monthly visits: 2,543 monthly visits
- AI data labeling and dataset management
- Free plan available
- Starts at Free
- Monthly visits: 1,960 monthly visits
- AI-powered CCTV security monitoring
- Starts at Check vendor pricing
- Monthly visits: 1,216 monthly visits
- Teams seeking an AI-native CRM
- Starts at Check vendor pricing
- Monthly visits: 2,012 monthly visits
- Cost-aware LLM routing
- 1K platform RPM
- Starts at $0
- Monthly visits: 1,297 monthly visits
- Teams needing SBOM and supply-chain risk visibility
- Up to 5 repositories free
- Starts at Check vendor pricing
- Monthly visits: 370 monthly visits
- No-code business agent creation
- Starts at $74.95/mo
- Monthly visits: 1,065 monthly visits
- Decentralized AI application infrastructure
- Starts at Check vendor pricing
- Monthly visits: 886 monthly visits
- AI visibility tracking and marketing reporting
- 14-day free trial
- Starts at From €14/month
- Monthly visits: 651 monthly visits
- Secure, private enterprise AI deployment
- 1-month free trial
- Starts at $0 for 1 month
- Monthly visits: 247 monthly visits
- AI evaluation and observability scoring
- 25M free tokens
- Starts at Check vendor pricing
- Live event visual summaries
- 5 free credits
- Starts at $12.50 per pack
- Monthly visits: 162 monthly visits
- AI API observability
- Free trial available
- Starts at Check vendor pricing
- All-in-one AI content creation
- Starts at Check vendor pricing
- AI bug detection for fast-shipping app developers
- 5 sessions and 3 pre-deploy runs/month
- Starts at $29/month
- Buying or selling AI projects
- Starts at Check vendor pricing
- Product review analysis for e-commerce teams
- Starts at Check vendor pricing
- Azure DevOps management
- Free trial available
- Starts at $19.99/month after 30 days
- Launching generative AI SaaS MVPs
- Starts at Check vendor pricing
- Persistent context for AI agents
- 30-day free trial
- Starts at $20/month
- Skills-based hiring and talent assessment
- 5 skills per candidate
- Starts at $0/month
- SaaS spend and license optimization
- Free plan available
- Starts at Check vendor pricing
- Open-source AI infrastructure
- Starts at $15/month
- Material breach intelligence
- Starts at Check vendor pricing
- Secure code execution for AI agents
- Free trial available
- Starts at Check vendor pricing
- AI-powered marketing analytics
- Starts at Check vendor pricing
- Real-time conversational video agents
- Starts at Check vendor pricing
- Business trend insights
- Starts at Check vendor pricing
- Open-source AI visibility tracking
- Free plan available
- Starts at $0 self-hosted
- AI-generated content and design mockups
- Starts at $29/month
- Integrating multiple AI models into apps
- Starts at $20 API access
- AI art generation and model hosting
- Free plan available
- Starts at Check vendor pricing
- Monitoring remote user connectivity and device performance
- 7-day free trial
- Starts at $25/month
- AI visibility tracking teams
- Free trial available
- Starts at $45/mo
- Generative engine optimization teams
- Free trial available
- Starts at Check vendor pricing
- Volleyball performance tracking
- Starts at Check vendor pricing
- Real-time offline ad analytics
- Starts at Check vendor pricing
- Commerce media campaign optimization
- Free trial available
- Starts at Custom quote
- Accessing multiple AI tools in one platform
- Free plan available
- Starts at Check vendor pricing
- Multi-agent collaboration workspaces
- Starts at Check vendor pricing
- AI governance and ISO compliance
- Starts at Check vendor pricing
Which AI observability platform should you try first?
Start with Datadog if your biggest challenge is visibility across infrastructure and application performance. For AI-specific tracing and evaluation, try Arize AI; choose Maxim when experimentation and agent simulation are part of the same lifecycle. HoneyHive is a practical first look for focused AI evaluation and observability, while OpenLIT is the most natural shortlist pick for teams prioritizing open-source LLM traces.
If security and guardrails lead the requirements, compare Aporia, WhyLabs, and Fiddler AI instead of treating general monitoring as a substitute. They approach the problem from different angles: guardrails and reliability, AI observability and LLM security, or combined LLM and ML monitoring. Ask each vendor to map its features to one real workflow before you decide.
What to test before choosing
Bring a representative AI request and test the full path you care about: tracing, debugging, evaluation, or guardrails. Check what your team must instrument, how much setup is required, and whether the tool exposes the details needed to investigate an issue. Then test usage limits, pricing units, and-in Portkey's case-latency in your own application. Do not choose on a demo alone; confirm the workflow with your code and expected traffic.
Common mistakes when choosing AI observability platforms
Buying breadth you will not use: A broad platform can help unify monitoring, but it may also bring a large catalog and a more involved pricing decision. Match the modules to actual ownership and workflows.
Treating all observability as the same job: Infrastructure monitoring, LLM traces, model monitoring, evaluation, and AI guardrails answer different questions. Write down what your team needs to diagnose before comparing feature lists.
Skipping the cost model: A free allowance, per-project limit, event quota, or GRU-based price can change the economics. Confirm how usage is counted and what happens when you grow.
Ignoring implementation effort: Open-source flexibility does not remove setup work, and an AI-focused product may still need integration. Test instrumentation with a real application before a full rollout.
Choosing on popularity alone: Monthly visits provide context about market interest, not proof that a product fits your architecture or team.
FAQ
It is software for inspecting how AI applications or models behave, with capabilities that can include tracing, monitoring, evaluation, or security controls. The exact scope varies: Datadog emphasizes broad infrastructure and application monitoring, while tools such as Arize AI and HoneyHive focus more directly on AI workflows.