AI · head to head
Arize AI vs Haystack

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Free plan
- Yes

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.
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.
SourceHaystack: 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.
SourceArize 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.
SourceHaystack: 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.
SourceArize 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.
SourceHaystack: 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.
SourceRelated pages
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- Haystack vs Tabnine
- Haystack vs Amazon Q Developer
- Haystack vs Poolside
- Haystack vs You.com
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- Haystack vs Deepgram
- Haystack vs AutoGen
- Haystack vs Cartesia
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- Haystack vs LatchBio
- Haystack vs LOVO
- Haystack vs Manus
- Haystack vs Modal
- Haystack vs NotebookLM
- Haystack vs LangChain
- Haystack vs LlamaIndex
- Haystack vs Semantic Kernel
- Haystack vs Pinecone
- Haystack vs OpenRouter
- Haystack vs Google Vertex AI
- Haystack vs H2O.ai
- Haystack vs Hugging Face
- Haystack vs Langwatch
- Haystack vs Mistral AI
- Haystack vs Ollama
- Haystack vs Ray
- Haystack vs RapidMiner
- Haystack vs Amazon Redshift ML
- Haystack vs Seldon
- Haystack vs Stata
- Haystack vs TensorBoard
