How to Self-Host Redshift in PostgreSQL

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How do I self-host Amazon Redshift capabilities on my own servers?

Self-hosting Redshift means recreating Redshift’s MPP, columnar analytics on infrastructure you control using open-source PostgreSQL and compatible extensions.

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Description

Table of Contents

Why self-host Redshift instead of using AWS?

Keep data on-prem, avoid SaaS lock-in, cut long-term costs, and gain full control over versioning and security.

What architecture replicates Redshift’s MPP engine?

Combine vanilla PostgreSQL with Citus for sharding, the cstore_fdw extension for columnar storage, and PgBouncer for connection pooling. Deploy multiple worker nodes and one coordinator.

How do I install the required components?

1. Provision identical Linux hosts.
2. Install PostgreSQL 16 via package manager.
3. CREATE EXTENSION citus; on all nodes.
4.CREATE EXTENSION cstore_fdw; for columnar tables.

How do I create Redshift-like tables?

Define distributed and columnar tables that mimic DISTKEY and SORTKEY.

-- On coordinator
SELECT master_add_node('worker01', 5432);
SELECT master_add_node('worker02', 5432);.

CREATE TABLE customers (
id BIGINT,
name TEXT,
email TEXT,
created_at TIMESTAMPTZ
) USING columnar;

SELECT create_reference_table('customers'); -- replicate small dim table

CREATE TABLE orders (
id BIGINT,
customer_id BIGINT,
order_date DATE,
total_amount NUMERIC(14,2)
) USING columnar;

SELECT create_distributed_table('orders','customer_id');

How do I load data quickly?

Bulk-load CSVs or Parquet via COPY parallelized across workers:

COPY orders FROM PROGRAM 'aws s3 cp s3://bucket/orders.csv -'
WITH (FORMAT csv, HEADER true);

How do I optimize queries?

1. Co-locate related tables on the same distribution key.
2. Partition large fact tables by day using CREATE TABLE ... PARTITION BY RANGE (order_date).
3.Periodically ANALYZE and VACUUM (FULL, VERBOSE).

What maintenance matches Redshift’s VACUUM?

Run nightly VACUUM FULL on the biggest partitions and REFRESH MATERIALIZED VIEW on summary tables.

Can I keep Redshift SQL compatibility?

Add a thin translation layer: create stub functions like GETDATE(), accept NVARCHAR synonyms, and write views mapping Redshift’s system tables to pg_catalog.

Best practices for production?

• Use RAID-10 NVMe for each worker.
• Enable work_mem=64 MB, maintenance_work_mem=2 GB.
• Set max_parallel_workers_per_gather=4.
• Automate backups with WAL-G to S3.

Common pitfalls to avoid?

1.Uneven shard distribution—always choose high-cardinality keys.
2. Forgetting replica lag—monitor pg_stat_replication.

How do I scale out more nodes later?

Add servers, run SELECT master_add_node(), then rebalance_table_shards() during low traffic windows.

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Why How to Self-Host Redshift in PostgreSQL is important

How to Self-Host Redshift in PostgreSQL Example Usage


-- Find top 10 spending customers last quarter
WITH q AS (
  SELECT o.customer_id,
         SUM(o.total_amount) AS spend
  FROM Orders o
  WHERE o.order_date BETWEEN '2024-01-01' AND '2024-03-31'
  GROUP BY o.customer_id
)
SELECT c.name, c.email, q.spend
FROM q
JOIN Customers c ON c.id = q.customer_id
ORDER BY q.spend DESC
LIMIT 10;

How to Self-Host Redshift in PostgreSQL Syntax


-- Coordinator setup
CREATE EXTENSION citus;
CREATE EXTENSION cstore_fdw;

-- Add worker nodes
SELECT master_add_node('worker01', 5432);
SELECT master_add_node('worker02', 5432);

-- Columnar, distributed fact table similar to Redshift DISTKEY customer_id
CREATE TABLE Orders (
  id            BIGINT,
  customer_id   BIGINT,
  order_date    DATE,
  total_amount  NUMERIC(14,2)
) USING columnar;
SELECT create_distributed_table('Orders','customer_id');

-- Reference (dimension) table replicated everywhere
CREATE TABLE Customers (
  id         BIGINT,
  name       TEXT,
  email      TEXT,
  created_at TIMESTAMPTZ
) USING columnar;
SELECT create_reference_table('Customers');

-- Copy data in parallel
aws s3 cp s3://ecom/Orders.csv - | psql -c "COPY Orders FROM STDIN WITH (FORMAT csv, HEADER true);"

Common Mistakes

Frequently Asked Questions (FAQs)

Is self-hosting Redshift fully open-source?

All core components (PostgreSQL, Citus, cstore_fdw) are open-source. You only pay for hardware or cloud VMs.

Does columnar storage slow down inserts?

Slightly. Batch your inserts with COPY or micro-batching to maintain high throughput.

Can I migrate back to AWS Redshift later?

Yes. Export tables to Parquet or CSV and use Redshift’s COPY FROM S3 to reload.

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