Based on our record, AWS Lambda seems to be a lot more popular than Google Cloud Spanner. While we know about 251 links to AWS Lambda, we've tracked only 17 mentions of Google Cloud Spanner. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Multiregion is possible in Google Cloud using Cloud Spanner, which allows you to replicate the database not only in multiple zones but also in multiple regions as defined in the instance configuration. The replicas allow you to read data with low latency from multiple locations that are close to or within the region in the configuration. - Source: dev.to / 10 months ago
Basically everything I touch is in-house, but a majority of it is available publicly. For instance: https://cloud.google.com/spanner/. Source: over 1 year ago
An application that needs to handle a lot of data can use a distributed database like Cloud Spanner. Unlimited scale and you don't have to split your database into multiple tables. Source: over 1 year ago
Look at the architecture and performance of Google's Cloud Spanner, a CP system with 99.999% availability... https://cloud.google.com/spanner. Source: over 1 year ago
In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago
In today's world of cloud computing, AWS Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. You can trigger Lambda from over 200 AWS services and software as a service (SaaS) applications, and only pay for what you use. - Source: dev.to / 10 days ago
The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 13 days ago
On this day, we both first learned about Lambda. This was the world's first public Functions-as-a-Service platform, better known as FaaS. They told us that this was the next evolution in Cloud Computing. With Lambda, you could now host snippets of code on AWS. There were no more idle workers, and you could auto-scale with minimal additional configuration required. Also, these snippets were event-driven by nature.... - Source: dev.to / 21 days ago
AWS Lambda simplifies composable applications by offering serverless execution, seamless integration with AWS services, automatic scaling, and cost efficiency without the need to manage servers. - Source: dev.to / 26 days ago
Deploying Dart functions to AWS Lambda enables you to utilize them not only within AWS Lambda but also integrate them with services like Amazon API Gateway, allowing you to leverage them in Flutter applications as well. This unified codebase in Dart offers great convenience. - Source: dev.to / 27 days ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
MySQL - The world's most popular open source database
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.