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Arize AI vs Haystack

Arize AI logo

Arize AI

AI

AI engineering platform for observability and evaluation of agents and LLM apps

From
Free
Free plan
Yes
Haystack logo

Haystack

Machine Learning

Open-source AI orchestration framework for LLM applications

From
Free
Free plan
Yes

The short version

  • Each has a real cost: Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.; Haystack requires Python programming knowledge for advanced customization
  • They diverge on capability: Arize AI covers End-to-end tracing, Haystack covers Modular pipeline composition.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Arize AI and Haystack actually diverge.

Attributes where Arize AI and Haystack differ
AttributeArize AIHaystack
Pricing modelfreemiumOpen-source with optional paid enterprise support
Platformsweb, apiPython, Cloud-agnostic
CategoryAIMachine Learning

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Arize AI

  • End-to-end tracing
  • Evaluation framework
  • Prompt testing and improvement
  • Alyx AI engineering agent
  • Custom dashboards
  • Data warehouse integrations

Only in Haystack

  • Modular pipeline composition
  • Multi-provider LLM support
  • Retrieval-augmented generation
  • Agent framework
  • Memory management
  • Observability and debugging
  • Kubernetes-ready deployment

What people use each for

The jobs each tool is most often brought in to do.

Arize AI

  • Tracing and debugging production AI agentsnot Haystack
  • Running large-scale evaluations across traces and sessionsnot Haystack
  • Improving prompts before production rolloutnot Haystack
  • Storing and querying GenAI traces alongside a data warehousenot Haystack

Haystack

  • Building production LLM applications with full controlnot Arize AI
  • Creating retrieval-augmented generation systemsnot Arize AI
  • Developing autonomous AI agentsnot Arize AI
  • Multi-provider LLM orchestrationnot Arize AI
  • Enterprise AI infrastructurenot Arize AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Arize AI

  • The free plan caps trace spans at 25,000 per month with only 15 days of retention.
  • Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
  • Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
  • Advanced compliance features like HIPAA are only available on Enterprise.

Haystack

  • Requires Python programming knowledge for advanced customization
  • Steeper learning curve compared to no-code platforms
  • Community support only on free tier may limit enterprise adoption
  • Ongoing maintenance dependency for open-source framework

Pricing, plan by plan

Arize AI

Free
  • AX FreeFree
    • 25k trace spans/month
    • 1 GB storage/month
    • 15-day retention
  • AX Pro$50/month
    • 50k trace spans/month
    • 10 GB storage/month
    • 30-day retention
  • AX Enterprise$undefined/mo
    • Custom trace spans, storage, and retention
    • SaaS or self-hosted deployment
    • Managed agents and Data Fabric

Haystack

Free
  • Open SourceFree
    • Full framework access
    • Community Discord support
    • GitHub community contributions
  • Enterprise Support$undefined/custom
    • Private secure engineering support
    • Best practices templates and deployment guides
    • Flexible services and integrations

Which should you pick?

Choose Arize AI if

  • You need end-to-end tracing.
  • You want to start without paying.
  • You work on web, api.
  • You also want evaluation framework.

Choose Haystack if

  • You need modular pipeline composition.
  • You want to start without paying.
  • You work on Python, Cloud-agnostic.
  • You also want multi-provider llm support.

Questions people ask

Is Arize AI or Haystack better?
Neither clearly leads. Arize AI starts at Free and Haystack at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Arize AI or Haystack?
Arize AI starts at Free and Haystack at Free.
Does Arize AI or Haystack run on more platforms?
Arize AI runs on web, api. Haystack runs on Python, Cloud-agnostic.
Can I use Arize AI for free?
Both have a free tier, so you can try either at no cost before committing.
What is Arize AI best used for?
Arize AI is most often used for tracing and debugging production ai agents, running large-scale evaluations across traces and sessions, improving prompts before production rollout, storing and querying genai traces alongside a data warehouse. Of those, tracing and debugging production ai agents and running large-scale evaluations across traces and sessions are not what Haystack is typically brought in for.
What can Arize AI do that Haystack cannot?
Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent. Haystack covers Modular pipeline composition, Multi-provider LLM support, Retrieval-augmented generation, Agent framework.

Answered from the vendors’ own pages

Arize AI: What does Arize AX cost?

Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.

Source
Haystack: Is Haystack completely free to use?

Yes, the open-source Haystack framework is completely free. deepset offers optional paid enterprise support packages for organizations needing secure engineering support and deployment guidance.

Source
Arize AI: Is there a free plan, and what are its limits?

The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.

Source
Haystack: What LLM providers does Haystack support?

Haystack supports multiple LLM providers including OpenAI, Anthropic, Mistral, Cohere, and others, allowing teams to avoid vendor lock-in and switch providers as needed.

Source
Arize AI: What deployment options are available?

Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.

Source
Haystack: Can I deploy Haystack in production environments?

Yes, Haystack is designed for production use with Kubernetes-ready pipelines, built-in reliability features, and observability tools for enterprise-scale deployments.

Source
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