Redshift outperforms ParadeDB for high-concurrency, petabyte-scale analytics where columnar storage, MPP, and managed infrastructure are critical.
Pick Redshift when you need petabyte-scale storage, hundreds of concurrent users, and fully managed infrastructure. Redshift’s columnar storage, massively parallel processing (MPP), and automatic replication remove operational overhead that ParadeDB still requires you to manage.
Redshift distributes tables across nodes and stores data in compressed columnar blocks. Sequential scans become parallel block reads, slashing query times on wide fact tables such as Orders
or OrderItems
. ParadeDB keeps row-oriented storage, so large aggregations stay I/O bound.
Redshift handles backups, vacuuming, and scaling automatically. ParadeDB forces manual VACUUM and index tuning. For lean teams, the saved ops hours alone justify Redshift’s higher price.
Yes. Redshift uses a PostgreSQL-compatible driver, so Galaxy, psql, and DataGrip all connect natively. Your existing SQL, stored in Galaxy Collections, will run with minor syntax tweaks.
Choose ParadeDB when you need full PostgreSQL extension support, low-latency OLTP, or tight budget control. For heavy analytics, Redshift usually wins on speed-per-dollar.
1) Export data from PostgreSQL.
2) Upload to S3.
3) COPY
into Redshift.
4) Repoint Galaxy connections.
This lifts analytics loads off your primary database.
Create sort keys on timestamp columns (order_date
) and distribution keys on high-cardinality IDs (customer_id
). Keep COPY files in 1–4 GB chunks to maximize parallelism. Schedule VACUUM
and ANALYZE
via Redshift’s maintenance window.
Most syntax works, but Redshift lacks some extensions and features like window functions with RANGE clauses. Test critical queries before migrating.
Redshift charges by node-hour and storage; ParadeDB costs only the underlying PostgreSQL resources. Factor in ops savings when comparing TCO.
Yes. Unload data to S3 using Redshift’s UNLOAD, then COPY into ParadeDB. Keep schemas aligned to simplify rollback.