How to Choose ParadeDB Over Snowflake in PostgreSQL

Why How to Choose ParadeDB Over Snowflake in PostgreSQL is important

-- Find customers similar to those who bought premium shoes
SELECT c.name, o.total_amount
FROM Customers c
JOIN Orders o ON o.customer_id = c.id
JOIN OrderItems oi ON oi.order_id = o.id
JOIN Products p ON p.id = oi.product_id
WHERE cosine_distance(p.emb, (SELECT emb FROM Products WHERE name = 'Premium Shoes')) < 0.2
ORDER BY o.total_amount DESC;

-- Install ParadeDB once per database
CREATE EXTENSION IF NOT EXISTS paradedb;

-- Build a columnar index for fast aggregates on Orders
aLTER TABLE Orders SET (paradedb.columnar = true);
CREATE INDEX ON Orders (order_date, total_amount);

-- Create a vector column and index for product embeddings
ALTER TABLE Products ADD COLUMN emb VECTOR(768);
SELECT paradedb.index_vectors('Products', 'emb');

-- Query example (CTE and vector search)
WITH big_spenders AS (
  SELECT customer_id, SUM(total_amount) AS spend
  FROM Orders
  GROUP BY customer_id
  HAVING SUM(total_amount) > 1000
)
SELECT c.id, c.name, cosine_distance(c2.emb, p.emb) AS similarity
FROM Customers c
JOIN big_spenders b ON b.customer_id = c.id
JOIN Orders o ON o.customer_id = c.id
JOIN OrderItems oi ON oi.order_id = o.id
JOIN Products p ON p.id = oi.product_id
CROSS JOIN LATERAL (
  SELECT emb FROM Products WHERE id = 42
) c2
ORDER BY similarity
LIMIT 10;