Use PostgreSQL over Snowflake when you need an open-source, low-cost, OLTP-friendly database you can fully control on-prem or in any cloud.
PostgreSQL is open-source and license-free, letting teams avoid Snowflake’s usage-based bills. You host it anywhere—local servers, AWS, GCP, Azure—so you keep data residency and networking under your control.
Postgres excels at high-concurrency OLTP.Snowflake shines at pure analytics, but web apps need fast row-level writes that Postgres handles with MVCC and granular locks.
The Postgres extension ecosystem (PostGIS, pgvector, Citus) adds features Snowflake lacks—geospatial, AI vectors, and horizontal scaling—all without vendor lock-in.
Yes. Continuous query traffic keeps Snowflake clusters ‘warm’, driving credits. A reserved Postgres server (or Aurora, AlloyDB) gives predictable monthly spend.
Absolutely.Self-host on bare metal for compliance, or use managed Postgres services when you prefer SaaS simplicity. Migrations are trivial because engine is identical.
Postgres writes are ACID and durable. Indexes, partitions, and JSONB let you mix transactional and semi-structured workloads with millisecond latency.
Petabyte-scale ELT and ad-hoc BI on semi-idle data favor Snowflake.For mixed read/write apps, PostgreSQL wins.
Use COPY INTO @my_stage FILE_FORMAT=(TYPE=CSV)
to stage each table, then download to local storage or S3.
Create matching schemas, then bulk-load with psql \copy
or COPY
.Validate row counts and constraints.
The join below powers dashboards and runs quickly on proper indexes:
SELECT c.name,
o.order_date,
p.name AS product,
oi.quantity,
oi.quantity * p.price AS line_total
FROM Orders o
JOIN Customers c ON c.id = o.customer_id
JOIN OrderItems oi ON oi.order_id = o.id
JOIN Products p ON p.id = oi.product_id
WHERE o.order_date > CURRENT_DATE - INTERVAL '30 days';
Enable pg_stat_statements
to watch query patterns.Use connection pooling (PgBouncer) to match Snowflake’s auto-scaling concurrency.
Ignoring vacuum settings: autovacuum keeps tables healthy; tune autovacuum_vacuum_cost_delay
for large inserts.
Under-indexing JSONB: create GIN
or BTREE
indexes on frequently queried keys.
.
Yes. The core engine is licensed under PostgreSQL License—an MIT-style permissive license.
Not natively, but extensions such as cstore_fdw
and timescaledb
offer columnar or hybrid features.
Definitely. With proper indexing, partitioning, and materialized views, Postgres serves interactive dashboards well up to terabyte scale.