# awslabs/amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

Repository: https://github.com/awslabs/amazon-redshift-utils
Canonical: https://ross.abutalabs.com/products/amazon-redshift-utils
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2025-09-03T03:26:41+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 40, release rhythm 35, longevity 100
- inputs: {"age_days": 4285, "days_push": 364, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2807, forks 1244 (observed 2026-08-28T04:07:22.894801+00:00)

## What it is
A collection of Python utilities, admin scripts, views, and stored procedures for managing and optimizing Amazon Redshift data warehouse clusters. It includes tools for column encoding optimization, automated VACUUM/ANALYZE maintenance, cluster diagnostics, and benchmarking workloads.

## Use cases
- optimize column encoding for redshift tables
- automate vacuum and analyze maintenance on redshift
- run diagnostics on my redshift cluster
- generate schema DDL from redshift
- benchmark cloud data warehouse performance
- schedule redshift housekeeping during quiet periods

## When to choose
- you administer Amazon Redshift clusters and want AWS-supported maintenance tooling
- you need to automate VACUUM/ANALYZE or apply optimal column encodings
- you want ready-made admin views and diagnostic scripts for Redshift

## When to avoid
- you use a database other than Amazon Redshift
- you need a GUI-based database administration tool
- you want a general-purpose ETL framework rather than Redshift-specific utilities

## Facets
- artifact type: cli-tool
- maturity: active
- function: database, monitoring, benchmarking, developer-tools
- domain: databases, cloud-computing, developer-tools
- platform: python, cloud, cli
- tags: amazon-redshift, data-warehouse, aws, database-administration, vacuum, analyze, column-encoding, admin-scripts, data-engineering

## Member repositories
- awslabs/amazon-redshift-utils (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:22.894801+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:14:27.107207+00:00, confidence not recorded.
  - readme: https://github.com/awslabs/amazon-redshift-utils (fetched 2026-08-28T04:07:22.894801+00:00, sha e797e444c64b)
- Data as of 2026-08-30T08:39:29.467469+00:00.