Google Cloud Bigtable
Amazon DynamoDB
MongoDB
Azure Cosmos DB
Redis
Amazon Aurora
Google Cloud Datastore
Google Cloud Spanner
Supabase
Firebase
Next.js
AppWrite
Hasura
Vercel
Etebase
PlanetScale
Google Cloud Bigtable SupabaseBased on our record, Supabase seems to be a lot more popular than Google Cloud Bigtable. While we know about 429 links to Supabase, we've tracked only 6 mentions of Google Cloud Bigtable. 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.
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
Cloud Bigtable: Petabyte-scale, low-latency, non-relational 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
> These triples say that the Layer with id 1 has a fontSize 20 and backgroundColor blue. Since they are different rows, there’s no conflict. This sounds a lot like Bigtable (https://cloud.google.com/bigtable), which also does last-write-wins conflict resolution layer. So this is adding a GraphQL + frontend layer to it? - Source: Hacker News / over 1 year ago
Google's BigTable paper inspired this database design, and it is capable of handling large data loads on distributed machines. In addition, column-oriented databases provide efficient compression and high performance with aggregated queries such as sum, average, and minimum. - Source: dev.to / almost 2 years ago
Because of these and other differences, the tools used are also different. With batch processing, data might be read from large files, processed, and stored in an OLTP (Online Transaction Processing) database (like MySQL) or OLAP (Online Analytical Processing) system (like Google BigQuery). But these would not be good solutions for streaming applications, because they are not optimized for high throughput on a lot... Source: over 2 years ago
I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product. - Source: dev.to / 3 days ago
Sign up for SupaBase: Head over to SupaBase and sign up. Create a new workspace and project with your preferred names. - Source: dev.to / 9 days ago
Setting up Supabase Create a new Supabase project, and get The connection string for the database from settings > Database. - Source: dev.to / 9 days ago
Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art. - Source: dev.to / 10 days ago
Supabase will be used for storing article data in the database and the cover image of the article in storage. Chakra UI will be used to provide style to the elements. By using both, we can build the blog with ease. - Source: dev.to / 9 days ago
Amazon DynamoDB - Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Next.js - A small framework for server-rendered universal JavaScript apps
Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
