Weka vs Arize Phoenix
Compare data AI Tools
20% Similar based on 3 shared tags
W
Weka
WEKA is a high-performance data platform for AI and HPC that unifies NVMe flash, cloud object storage, and parallel file access to feed GPUs at scale with enterprise controls.
Pricing By quote
Category data
Difficulty Beginner
Type Web App
Status Active
A
Arize Phoenix
Open source LLM tracing and evaluation that captures spans scores prompts and outputs, clusters failures and offers a hosted AX service with free and enterprise tiers.
Pricing Free, SaaS tiers by quote
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Weka
storagegpuhpcparallel-filecloudperformance
Shared
dataanalyticsanalysis
Only in Arize Phoenix
llmobservabilitytracingevaluationopensourceotel
Key Features
Weka
- • Parallel file system on NVMe for low-latency IO
- • Hybrid tiering to object storage with policy control
- • Kubernetes integration and scheduler friendliness
- • High throughput to keep GPUs saturated
- • Quotas snapshots and multi-tenant controls
- • Encryption audit logs and SSO options
Arize Phoenix
- • Open source tracing and evaluation built on OpenTelemetry
- • Span capture for prompts tools model outputs and latencies
- • Clustering to reveal failure patterns across sessions
- • Built in evals for relevance hallucination and safety
- • Compare models prompts and guardrails with custom metrics
- • Self host or use hosted AX with expanded limits and support
Use Cases
Weka
- → Feed multi-node training jobs with consistent throughput
- → Consolidate research and production data under one namespace
- → Tier datasets to object storage while keeping hot shards local
- → Support MLOps pipelines that read and write at scale
- → Accelerate EDA and simulation with parallel IO
- → Serve inference features with predictable latency
Arize Phoenix
- → Trace and debug RAG pipelines across tools and models
- → Cluster bad answers to identify data or prompt gaps
- → Score outputs for relevance faithfulness and safety
- → Run A B tests on prompts with offline or online traffic
- → Add governance with retention access control and SLAs
- → Share findings with engineering and product via notebooks
Perfect For
Weka
infra architects, platform engineers, and research leads who need to maximize GPU utilization and simplify AI data operations with enterprise controls
Arize Phoenix
ml engineers data scientists and platform teams building LLM apps who need open source tracing evals and an optional hosted path as usage grows
Capabilities
Weka
Parallel IO Professional
Object Integration Intermediate
K8s & Schedulers Intermediate
Governance & Audit Professional
Arize Phoenix
Spans and Context Professional
Built in and Custom Intermediate
Clustering and Search Intermediate
Hosted AX Basic
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