AWS Analytics & Data

Amazon Redshift

Cloud data warehouse for fast SQL analytics across large datasets.

What it is used for

  • Business reporting
  • Analytics on sales and operations
  • Data consolidation

Equivalent on Google Cloud

The closest Google Cloud service is BigQuery: serverless data warehouse for fast SQL analytics on large datasets, with built-in ML.

How DomainHostly helps with Amazon Redshift

  • Plan: choose the right setup, size and region for your workload and budget.
  • Set up securely: configure Amazon Redshift with least-privilege access, encryption and backups where they apply.
  • Migrate: move from shared hosting, your own servers or the other cloud with minimal downtime.
  • Run and optimise: monitoring, updates and regular cost reviews so you only pay for what you use.

Analytics & Data: Data warehouses, big-data processing, streaming, ETL and business intelligence.

What to consider: Analytics & Data

  • Store raw data once in a data lake or warehouse and build reports from that single source.
  • Partition and cluster large tables so queries scan, and cost, less.
  • Control who can see which datasets, especially personal or financial data.

Related services: Analytics & Data