Back4App supports developers and companies to accelerate backend development, improve development productivity, reduce time to market, and scale applications without managing infrastructure.
Back4App is recommended for startups, indie developers, and enterprises that require a reliable and cost-effective backend service to rapidly develop and deploy applications. It is ideal for those who prefer not to manage their own servers or infrastructure and for projects that need quick scalability and real-time data management, such as social apps, mobile applications, and IoT solutions.
Based on our record, Apache Cassandra seems to be a lot more popular than Back4App. While we know about 44 links to Apache Cassandra, we've tracked only 1 mention of Back4App. 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.
I'm using back4app.com which is a cloud service for parse server, you can fire cloud code using node. Recently they introduce containers, but I didn't use it. Source: about 2 years ago
In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / about 2 months ago
All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 7 months ago
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 12 months ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 1 year ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Parse - Build applications faster with object and file storage, user authentication, push notifications, dashboard and more out of the box.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.