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    1. Home
    2. Tools
    3. Rivestack
    Rivestack icon

    Rivestack

    Vector Databases
    Featured

    Managed PostgreSQL with pgvector built in, running on NVMe storage in the EU, offering fixed monthly pricing and no platform overhead for AI vector workloads.

    Visit Website

    At a Glance

    Pricing
    Free tier available

    For testing, prototyping, and small personal projects. Shared PostgreSQL with pgvector enabled.

    Starter: $35/mo
    Growth: $59/mo
    Scale: $99/mo

    Engagement

    Available On

    Windows
    Web
    API
    CLI

    Resources

    WebsiteDocsllms.txt

    Topics

    Vector DatabasesDatabase as a ServiceRetrieval-Augmented Generation

    Alternatives

    Zilliz CloudMyScaleChroma
    Developer
    RivestackParis, FranceEst. 2024

    Listed May 2026

    About Rivestack

    Rivestack is a French-based managed PostgreSQL service purpose-built for AI and vector search workloads. It ships pgvector pre-enabled and tuned with HNSW indexing on NVMe storage, targeting teams that need fast, predictable vector search without the overhead of general-purpose database platforms. The service is available in EU (France) and US-East regions, with a free tier that requires no credit card.

    What It Is

    Rivestack provides dedicated PostgreSQL nodes with pgvector configured out of the box, positioned as a focused alternative to broader platforms like Supabase and Neon, and to standalone vector databases like Pinecone. Rather than bundling auth, storage, edge functions, or realtime features, Rivestack concentrates on one job: running Postgres and pgvector fast and cheaply on NVMe hardware. The service is standard PostgreSQL under the hood, so any existing Postgres driver — Python's psycopg2, Go, Node.js, Java, Rust, Ruby, .NET — connects without modification.

    Performance and Infrastructure

    Rivestack publishes benchmark figures on its homepage: the site claims 2,150 QPS and 2.8ms p50 latency on a base node for a 1M × 1536-dimension dataset with ef_search=40 and 16 clients, compared to approximately 410 QPS and 18ms on an equivalent Supabase configuration. Storage uses NVMe rather than cloud SSD, which the company attributes as the primary driver of the latency difference. Full benchmark methodology is documented in a linked blog post. Each cluster runs Patroni for high availability, pgBackRest for backups, and ships with Prometheus and Grafana monitoring. PostgreSQL 18 is available on all clusters, and pgvector 0.8.x is the current extension version.

    Deployment and Operations

    Clusters are provisioned and managed via a Terraform provider, allowing infrastructure-as-code workflows without dashboard interaction. High availability is achieved by adding nodes to a cluster rather than through a separate HA product tier. Backups are daily with 14-day point-in-time recovery (PITR) on paid plans. The service is hosted entirely within the EU for the EU region, and the company states it is a French entity with GDPR data processing agreements available on request.

    Migration Path: Vector Rescue

    Rivestack offers a free "Vector Rescue" service for teams migrating from Supabase, Neon, Pinecone, or self-hosted pgvector. Users submit their row counts, vector dimensions, QPS targets, and current pain points via email; the company responds within 48 hours with a plan recommendation, expected performance figures, a side-by-side cost comparison, and a migration path (pg_dump, logical replication, or cutover plan). The company states that if Rivestack is not a better fit, it will say so in the same reply.

    Update: PostgreSQL 18 and SQL Editor

    The homepage footer changelog notes two recent additions: PostgreSQL 18 is now available on all clusters, and a SQL Editor with embeddings search has been added to the product. These represent the most recent visible product updates at the time of this writing.

    Why It Matters for AI Workloads

    The core proposition is that vector workloads — particularly RAG pipelines and semantic search — generate disproportionate cost and latency on platforms priced for general-purpose use. Rivestack's fixed per-node monthly pricing eliminates per-query billing, egress surcharges, and vector-count overages, making the monthly bill predictable from day one. The live demo at ask.rivestack.io runs semantic search over 30 days of Hacker News data on a real Rivestack cluster, with the site claiming sub-50ms query times at no additional infrastructure cost.

    Rivestack - 1

    Community Discussions

    Be the first to start a conversation about Rivestack

    Share your experience with Rivestack, ask questions, or help others learn from your insights.

    Pricing

    FREE

    Shared

    For testing, prototyping, and small personal projects. Shared PostgreSQL with pgvector enabled.

    • Shared CPU · 256 MB RAM
    • pgvector enabled
    • 2 GB storage
    • ~100K vectors (1536d)
    • Community support

    Starter

    Popular

    Production-ready dedicated PostgreSQL with NVMe storage, automated backups, and monitoring.

    $35
    per month
    • 2 vCPU · 4 GB RAM per node
    • 55 GB NVMe storage
    • ~1M vectors (1536d)
    • pgvector tuned (HNSW)
    • HA ready (add nodes)
    • Daily backups + 14d PITR
    • Monitoring dashboard
    • SSL encrypted
    • Terraform provider

    Growth

    More compute, more storage. Same HA support — add nodes for automatic failover.

    $59
    per month
    • 4 vCPU · 8 GB RAM per node
    • 135 GB NVMe storage
    • ~5M vectors (1536d)
    • pgvector tuned (HNSW)
    • HA ready (add nodes)
    • Daily backups + 14d PITR
    • Priority support
    • Terraform provider
    • Custom PostgreSQL config

    Scale

    High-performance dedicated PostgreSQL for demanding workloads.

    $99
    per month
    • 8 vCPU · 16 GB RAM per node
    • 295 GB NVMe storage
    • ~20M vectors (1536d)
    • pgvector tuned (HNSW)
    • HA ready (add nodes)
    • Daily backups + 14d PITR
    • Priority support
    • Terraform provider
    • Custom PostgreSQL config
    View official pricing

    Capabilities

    Key Features

    • Managed PostgreSQL with pgvector pre-enabled
    • NVMe storage for low-latency vector search
    • HNSW index tuning
    • Fixed monthly per-node pricing
    • Daily backups with 14-day PITR
    • Patroni high availability
    • Terraform provider
    • Prometheus and Grafana monitoring
    • EU and US-East regions
    • GDPR-compliant EU hosting
    • PostgreSQL 18 support
    • pgvector 0.8.x
    • SQL Editor with embeddings search
    • Free Vector Rescue migration service
    • No cold starts (always-on dedicated nodes)

    Integrations

    Python (psycopg2)
    Go
    Node.js
    Java
    Rust
    Ruby
    Django
    Laravel
    Express
    Spring Boot
    Flask
    .NET
    Next.js
    Terraform
    Prometheus
    Grafana
    API Available
    View Docs

    Reviews & Ratings

    No ratings yet

    Be the first to rate Rivestack and help others make informed decisions.

    Developer

    Rivestack Team

    Rivestack builds managed PostgreSQL infrastructure optimized for AI and vector search workloads. The company operates from France and runs dedicated pgvector clusters on NVMe storage in EU and US-East regions. Rivestack focuses exclusively on Postgres and pgvector performance, offering fixed monthly pricing without the platform overhead of broader database services. The team provides free migration planning for teams moving from Supabase, Neon, Pinecone, or self-hosted setups.

    Founded 2024
    Paris, France
    5 employees

    Used by

    Hacker News Search (dogfooding)
    Read more about Rivestack Team
    WebsiteX / Twitter
    1 tool in directory

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