pgEdge Starfleet vs Mixpeek

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

pgEdge Starfleet compared with Mixpeek
Detail	pgEdge Starfleet	Mixpeek
What it does	Enterprise Postgres for AI, deployable anywhere from prototype to production	Search, classify and moderate video, images, audio and documents on object storage
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	US
Pricing model	Freemium	Freemium
Pricing	Managed: Small $25/month (1 vCPU, 2GB RAM, 25GB storage), Medium $69/month (2 vCPU, 4GB, 50GB), Large $99/month (2 vCPU, 8GB, 50GB), XL $249/month (4 vCPU, 16GB, 150GB). Branches billed hourly while they exist. BYO Cloud and Self-Hosted require custom pricing quotes.	MVS 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
Key features	Built-in MCP server for connecting Claude Code, Cursor, Replit and other agentic tools Copy-on-write database branching in seconds Built-in RAG server and pgvector for vector embeddings pgEdge SafeSession for enforcing true read-only access IP allowlisting and no public internet exposure Multi-region automated failover and active-active replication Zero-downtime maintenance and upgrades 45-day backups included PostREST API server included Standard unforked PostgreSQL with no proprietary storage layer	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
What makes it different	Deploy the same Postgres platform in pgEdge cloud, your cloud, or on-premises without re-platforming Built on 100% standard, unforked PostgreSQL—no proprietary storage layer or lock-in Comprehensive AI toolkit built in—MCP, RAG, and vector search without assembling a second data stack Flat pricing per database with no storage, IOPS or egress overages	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
Community votes	0	0
DR (Domain Rating by Ahrefs)	60 no change since last check	54 no change since last check
Trust Flow (Majestic)	31	16
Citation Flow (Majestic)	43	38
Referring domains (Majestic)	652	467

6 details filled in for both companies.

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