AI · head to head
Arize AI vs Wasabi

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Free plan
- Yes
The short version
- Only Arize AI has a free tier, so it costs nothing to try first.
- Each has a real cost: Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.; Wasabi 90-day minimum storage duration with no option to delete before full period without penalty
- They diverge on capability: Arize AI covers End-to-end tracing, Wasabi covers Hot Cloud Storage.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Arize AI and Wasabi actually diverge.
Identical on both: platforms (web, api), 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 Wasabi
- Hot Cloud Storage
- S3 Compatible API
- Object Lock
- Versioning
- Multi-region
- Data Migration Tools
- Immutability
- Ransomware Protection
What people use each for
The jobs each tool is most often brought in to do.
Arize AI
- Tracing and debugging production AI agentsnot Wasabi
- Running large-scale evaluations across traces and sessionsnot Wasabi
- Improving prompts before production rolloutnot Wasabi
- Storing and querying GenAI traces alongside a data warehousenot Wasabi
Wasabi
- Backup and recoverynot Arize AI
- Media storagenot Arize AI
- Archive replacementnot Arize AI
- Ransomware protectionnot 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.
Wasabi
- 90-day minimum storage duration with no option to delete before full period without penalty
- Significantly smaller global footprint than AWS with only 16 regions, resulting in higher latency for users in underserved regions
- Performance can degrade with high-volume transactions requiring throughput management strategies
- Hot storage only, no cold/archival storage tier for long-term data at lower cost
- Support responsiveness gaps with teams experiencing multi-day waits for critical issue resolution
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
Wasabi
$7.99/monthNo published plan breakdown. See the Wasabi review.
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 Wasabi if
- You need hot cloud storage.
- You work on Web, API.
- You also want s3 compatible api.
Questions people ask
- Is Arize AI or Wasabi better?
- Neither clearly leads. Arize AI starts at Free and Wasabi at $7.99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Arize AI or Wasabi?
- Arize AI has a free tier; the other does not. Paid plans start at Free for Arize AI and $7.99/month for Wasabi.
- Does Arize AI or Wasabi run on more platforms?
- Arize AI runs on web, api. Wasabi runs on Web, API.
- Can I use Arize AI for free?
- Yes. Arize AI has a free tier, so you can try it without paying. Wasabi starts at $7.99/month.
- 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 Wasabi is typically brought in for.
- What can Arize AI do that Wasabi cannot?
- Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent. Wasabi covers Hot Cloud Storage, S3 Compatible API, Object Lock, Versioning.
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.
SourceWasabi: What is Wasabi's pricing structure?
Wasabi offers pay-as-you-go pricing at $7.99 per TB per month as of July 2026, with no egress or API request fees. Reserved capacity plans are available for multi-year terms with volume discounts.
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.
SourceWasabi: Does Wasabi charge for data downloads or API calls?
No. Wasabi includes zero egress fees and zero API request fees, which is a major cost advantage over AWS S3. Customers can plan their budget to the penny without worrying about surprise data transfer charges.
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.
SourceWasabi: Is there a minimum storage duration requirement?
Yes. Wasabi enforces a 90-day minimum storage term. Users who delete data before 90 days are still charged for the full 90-day period.
SourceWasabi: Is Wasabi S3-compatible?
Yes. Wasabi Hot Cloud Storage is fully S3-compatible, meaning organizations can integrate it into existing workflows without rewriting application code used with AWS S3.
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