Codehooks.io
restdb.io
Cloud Functions for Firebase
AWS Lambda
Google Cloud Functions
MongoDB
Heroku
Serverless
Apache Cassandra
Redis
MongoDB
ArangoDB
PostgreSQL
neo4j
OrientDB
Azure Cosmos DB
A NoSQL backend integrating the essentials you need.
One compact, deployable package contains JavaScript Functions with access to two types of NoSQL database (document and key/value), message queues and CRON jobs. All you need is there, no config or setup. Forget complex devops security, scalability, network and K8s "space ship" setups.
With codehooks.io you can quickly create APIs with persistence and processing logic using only Javascript.
Codehooks.io Apache CassandraNo features have been listed yet.
No Codehooks.io videos yet. You could help us improve this page by suggesting one.
Codehooks.io's answer
codehooks.io was created by an experienced SaaS team based in Norway, Europe.
In 2016 we launched restdb.io - a simple online database backend with automatic API creation and low code "hooks". restdb.io has a freemium model and has paying users in every corner of the world.
The idea behind codehooks.io is to take the "code engine" part of restdb.io and rebuild it from scratch into a more complete backend solution for JavaScript (and TypeScript) developers.
Although restdb.io is reasonably fast, it can't really compare to the highly optimized API and database engine (RocksDB) we have built into codehooks.io.
Codehooks.io's answer
Codehooks.io isn't just another backend service; it's a revolution in how developers think about and interact with backend technologies.
Codehooks.io's answer
Node.js, Docker, Kubernetes, RocksDB
Codehooks.io's answer
No big customers we are allowed to disclose (yet) - mostly indiehackers and small businesses.
Codehooks.io's answer
Because it supports extremely rapid development and bundles mechanisms which solve most backend problems easily (API, CRUD, queue, jobs, NoSQL, web-based data management).
Codehooks.io's answer
Makers and web developers focused on solving problems quickly. Whether the task is system integration, data collection, or e-commerce powering - codehooks.io is a quick yet powerful backend solution.
Based on our record, Apache Cassandra should be more popular than Codehooks.io. It has been mentiond 41 times since March 2021. 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.
Codehooks.io — JavaScript serverless API/backend and database service with functions, Mongdb-ish queries, key/value lookups, a job system, and a message queue. One instance free per project, 5000 records, 5000 calls/month free, three developers included. No credit-card required. - Source: dev.to / 4 months ago
This guide is tailored for front-end developers looking to explore the smooth integration of DaisyUI's stylish components, Alpine.js's minimalist reactive framework, and the straightforward back-end capabilities of Codehooks.io. - Source: dev.to / 4 months ago
Codehooks.io is a new and simplified backend-as-a-service to create complete API backends with JavaScript / Node.JS. Enjoy smooth and fast backend development with ZERO config serverless JavaScript/TypeScript/Node.js with integrated NoSQL document Database, Key-Value store, CRON Jobs and Queue Workers. - Source: dev.to / 6 months ago
Crudlify automagically creates a NoSQL backend from any data schema (Zod, Yup, JSON-schema), complete with secure REST APIs, logic middleware and much more. Crudlify is an open source library developed by codehooks.io. - Source: dev.to / about 1 year ago
In this blog post, we will demonstrate how ChatGPT can be used to produce high-quality, easy-to-understand, and instantly deployable Node.js backend code using examples from codehooks.io. - Source: dev.to / over 1 year 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 / 16 days 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 month ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 3 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago
restdb.io - restdb.io lets you create databases and REST APIs quickly. Development databases are free. Powerful web-based and mobile-friendly data management.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Cloud Functions for Firebase - Serverless / Task Processing
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
AWS Lambda - Automatic, event-driven compute service
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
