Mixpeek

A multimodal vector store (MVS) testing and benchmarking platform that evaluates S3-compatible providers for AI/ML workloads — feeding identical embedding workloads through different storage backends (S3, R2, Tigris, Wasabi, MinIO, etc.) and reporting per-provider latency, throughput, and cost characteristics. Independent benchmarks rather than vendor-marketing claims; published reports periodically. Useful when a team is choosing the storage backend for a vector pipeline and needs evidence beyond a vendor's own pricing page.

Vector workloads have unique read/write patterns (high small-object PUT/GET, frequent index reads, occasional large bulk loads) that don't map cleanly to standard S3 latency benchmarks. Mixpeek runs MVS-shaped workloads against the storage tier and surfaces the cost-vs-latency-vs-throughput envelope each provider actually delivers under those access patterns — turning multimodal-AI storage selection into a measurable decision rather than a brand decision.

Storage-tier selection for new RAG/MVS pipelines, validation of vendor claims at AI-workload shape, comparative benchmarking when migrating from one S3-compat to another, evidence collection for procurement decisions in regulated industries.