![]() 0 cost when the solution is not used, only pay for the query you're running.īut quickly the use of slots (with monthly or per-minute commitment) will drastically reduce the cost of use. Its on-demand pricing is particularly adapted to small workloads. We can also mention Redshift, which we have eliminated because this technology requires even more ops operation.īigQuery can therefore be set up with almost zero cost of human resources. ![]() Snowflake requires to set up (paid) reclustering processes, to manage the performance allocated to each profile, etc. These solutions seem to match our goals but they have very different approaches.īigQuery is notably the only 100% serverless cloud data-warehouse, which requires absolutely NO maintenance: no re-clustering, no compression, no index optimization, no storage management, no performance management. Our benchmark was conducted over BigQuery and Snowflake. The choice of the most suitable solution is therefore fundamental. Amazon Redshift has a broader approval, being mentioned in 269 company stacks & 67 developers stacks compared to Postico, which is listed in 8 company stacks and 8 developer stacks.Ĭloud Data-warehouse is the centerpiece of modern Data platform. Lyft, Coursera, and 9GAG are some of the popular companies that use Amazon Redshift, whereas Postico is used by JustWatch, Montemedia, and Livestorm. "Data Warehousing" is the top reason why over 27 developers like Amazon Redshift, while over 3 developers mention "Very clean, respectable interface" as the leading cause for choosing Postico.
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