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Mixpeek vs Spice AI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Mixpeek compared with Spice AI
DetailMixpeek logo MixpeekSpice AI logo Spice AI
What it doesSearch, classify and moderate video, images, audio and documents on object storage Open data lakehouse for agents that serves enterprise data securely and at scale on object storage
StageNot given Established
FoundedNot given 2021
Based inUS US
Pricing modelFreemium Freemium
PricingMVS Build: $25/month with up to 1M vectors and $0/month in indexing included. MVS Scale: $250/month with up to 25M vectors. Managed Build: $25/month with $10 included usage pool. Managed Scale: $250/month with $100 included usage pool. Usage rates: video $0.05/minute, audio $0.01/minute, images and Open Source: Free under Apache 2.0. Cloud Developer: $19/month. Pro for Teams: $99/month with subscription and usage-based pricing. Enterprise: Contact for tailored pricing.
Key features
  • Hybrid dense, sparse and BM25 retrieval
  • Face and scene extraction from video
  • Speech transcription and speaker diarization
  • Multimodal embeddings from 50+ models
  • Object storage-native vector persistence
  • MCP server for agent integration
  • LangChain integration
  • Self-hosted deployment option
  • Analytics replica with real-time CDC from PostgreSQL, MySQL, MongoDB, DynamoDB
  • Hybrid search combining keyword, vector, and full-text search in SQL
  • Embedded LLM inference callable directly from SQL queries
  • Per-agent sandboxed data isolation with row-level filters and column masking
  • Multi-node clustering and distributed query execution across storage tiers
  • Open source runtime under Apache 2.0 license with self-hosted and managed cloud options
What makes it different
  • Works directly with files in S3, GCS, Azure or R2 without moving data
  • Sub-100ms query latency even with vectors on object storage
  • Multi-stage retrieval pipelines in single API call
  • Combines federation and acceleration in one SQL endpoint
  • Proven production deployments at Twilio, Barracuda Networks, NRC Health
  • One standard lakehouse configuration deployed per customer, team, or agent
Community votes00
DR (Domain Rating by Ahrefs)54 no change since last check57 +1 (up) since last check
Trust Flow (Majestic)1613
Citation Flow (Majestic)3839
Referring domains (Majestic)467471

6 details filled in for both companies.

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