Google Cloud Bigtable vs Serverless: What are the differences?
Google Cloud Bigtable: The same database that powers Google Search, Gmail and Analytics. Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail; Serverless: The most widely-adopted toolkit for building serverless applications. Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Google Cloud Bigtable and Serverless are primarily classified as "NoSQL Database as a Service" and "Serverless / Task Processing" tools respectively.
"High performance" is the primary reason why developers consider Google Cloud Bigtable over the competitors, whereas "API integration " was stated as the key factor in picking Serverless.
Serverless is an open source tool with 30.5K GitHub stars and 3.38K GitHub forks. Here's a link to Serverless's open source repository on GitHub.
According to the StackShare community, Serverless has a broader approval, being mentioned in 112 company stacks & 43 developers stacks; compared to Google Cloud Bigtable, which is listed in 17 company stacks and 3 developer stacks.