How to Check Minimum System Requirements for ParadeDB in PostgreSQL

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What are the minimum system requirements to run ParadeDB on PostgreSQL?

Identify CPU, memory, disk, and PostgreSQL version prerequisites before installing the ParadeDB extension.

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Description

What hardware does ParadeDB need?

ParadeDB runs on any x86-64 or ARM64 machine that can run PostgreSQL 15 or later. For proof-of-concept work, 2 vCPUs, 4 GB RAM, and 20 GB SSD suffice. Production search workloads start at 4 vCPUs, 16 GB RAM, and NVMe or performant cloud block storage.

Which PostgreSQL version is required?

ParadeDB targets PostgreSQL 15+. Earlier releases lack required extension APIs. Confirm the server version with SELECT version();.Upgrade before proceeding if needed.

How much RAM should I allocate?

Allocate at least 2× the total size of vectors plus 20 % head-room for query work buffers. For an ecommerce catalog holding 5 M products (1536-dim vectors ≈ 30 GB), plan on 60-64 GB RAM.

Is SSD storage mandatory?

Yes. ParadeDB performs random vector I/O during ANN search. Use local NVMe or provisioned IOPS cloud volumes. Aim for >50k IOPS and <1 ms latency.Magnetic disks bottleneck recall and latency.

What OS packages do I need?

Install GNU make, clang or gcc, and postgresql-server-dev-15 (Deb-based) or postgresql15-devel (RPM). These provide headers for compiling the extension.

How do I verify resources at runtime?

Run CREATE EXTENSION paradedb;. Then execute:

SELECT paradedb_check();

The function raises NOTICEs if CPU SIMD support (AVX2/NEON), shared_buffers, or work_mem are below recommended thresholds.

Best practices for cloud deployments?

Choose compute-optimized instances (AWS c7g, GCP c3) with local NVMe. Use managed Postgres wrappers only if they allow custom extensions.Otherwise run ParadeDB on self-managed Postgres in Kubernetes or on a VM.

What are typical configuration tweaks?

Set:

shared_buffers = 25% of RAM
work_mem = 64MB
maintenance_work_mem = 2GB
max_parallel_workers = CPU cores

These values balance vector index build speed and query throughput.

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Why How to Check Minimum System Requirements for ParadeDB in PostgreSQL is important

How to Check Minimum System Requirements for ParadeDB in PostgreSQL Example Usage


-- Create a vector column on Products
aLTER TABLE Products
ADD COLUMN embedding vector(1536);

-- Create ParadeDB index
CREATE INDEX idx_products_embedding
ON Products
USING paradedb (embedding);

-- Find top-5 similar products to a query vector
SELECT id, name, price
FROM Products
ORDER BY embedding <-> '[0.12, 0.03, ... , 0.44]'::vector
LIMIT 5;

How to Check Minimum System Requirements for ParadeDB in PostgreSQL Syntax


-- Install ParadeDB extension
CREATE EXTENSION IF NOT EXISTS paradedb
    WITH SCHEMA public
    VERSION 'latest';

-- Optional: choose a different schema and lock version
CREATE EXTENSION paradedb
    WITH SCHEMA analytics
    VERSION '0.5.1';

Common Mistakes

Frequently Asked Questions (FAQs)

Is ParadeDB compatible with managed PostgreSQL services?

Only if the provider lets you install custom C extensions. Amazon RDS & Cloud SQL do not; use Aurora Postgres Custom or self-host.

Does ParadeDB require GPU acceleration?

No. It leverages CPU SIMD (AVX2/NEON) for fast searches. GPU is optional and currently experimental.

How do I estimate index size?

Index size ≈ 1.1 × vector data size. For 30 GB embeddings, budget ~33 GB additional disk.

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