Data & Analytics
Choosing the Right Cloud Data Warehouse Solution: Amazon Redshift vs Google BigQuery (based on Real-Life Case Studies) 
Data & Analytics

Choosing the Right Cloud Data Warehouse Solution: Amazon Redshift vs Google BigQuery (based on Real-Life Case Studies) 

Key Takeaways 

  • Cloud data warehouse solutions are a must-have for businesses that want to save costs and stay ahead in 2023.   
  • The global data warehousing market will reach $51.18 billion by 2028. 
  • Amazon Redshift and Google BigQuery are the most sought-after cloud data warehouse solutions in 2023 and beyond.  
  • Google BigQuery offers 27% lower three-year TCO than the competition. 
  • Amazon Redshift can handle big data by allowing businesses to scale their capacity from a few hundred GB of data to a petabyte or more.  
  • Real life data warehouse comparison with use cases 

Running a business in 2023 requires access to real-time data-driven insights and preparedness for continuity in the event of a disaster. Amid many technological innovations, cloud data warehousing solutions have risen as potent tools for driving these overarching goals. With a reliable data solution, businesses can reduce ownership costs, enhance performance, improve speed, and access complementary third-party integrations to stay up-to-date with technology.  

However, cloud data warehouse solutions are not one-size-fits-all. Even the most experienced business leaders might have a challenge picking the right one among the two most loved options—Amazon Redshift and Google BigQuery. From types of data sets and user experience to scalability, speed, and pricing structures, factors that entail the criteria for choosing a cloud data warehouse solution are numerous and differ from one business to another, depending on the foregoing needs. 

Nonetheless, the benefits of getting started with a cloud data warehouse outweigh the risk of getting it wrong, especially if you’re a first-timer. In this eBook, we take an in-depth one-on-one comparison of Amazon Redshift and BigQuery in terms of data warehouse use cases, performance, pricing model, speed, and scalability. On top of that, we share expert tips on key factors to consider when choosing a cloud data warehouse solution.  

We also did a thorough data warehouse cost comparison for the two solutions. And last but not least we stacked the two solutions against other service providers like Snowflake and Azure Synapses to give you a better perspective of why they stack up better.  

Download the eBook now to settle the debate on Amazon Redshift vs BigQuery and decide which one is ideal for your business by comparing your needs with the featured use cases. Got more question on data warehouse or thinking building your own? Our data engineering experts can help you begin your cloud data warehouse transformation journey today!