Software Alternatives, Accelerators & Startups

Apache Cassandra VS Codehooks.io

Compare Apache Cassandra VS Codehooks.io and see what are their differences

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Codehooks.io logo Codehooks.io

Fast and Easy NoSQL backend service which lets you use JavaScript to build instantly deployable database-powered APIs and microservices for your applications.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Codehooks.io Codehooks landing page
    Codehooks landing page //
    2024-06-01

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.

Apache Cassandra features and specs

No features have been listed yet.

Codehooks.io features and specs

  • User friendly web-based Data Studio for querying and managing data: Yes
  • Serverless Javascript Functions: Yes
  • Instant deployment without complex devops setup: Yes
  • Integrated NoSQL database (with MongoDB-like queries)): Yes
  • Integrated Key/value database: Yes
  • Integrated Message Queue: Yes
  • Integrated scheduled jobs (like CRON): Yes
  • Powerful CLI: Yes
  • Easy data import of CSV, JSON: Yes
  • Easy authentication setup with JWT and JWKS: Yes

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Codehooks.io videos

How to create and deploy a database backend using codehooks.io in 30 seconds

Category Popularity

0-100% (relative to Apache Cassandra and Codehooks.io)
Databases
100 100%
0% 0
Backend As A Service
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Developer Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Apache Cassandra and Codehooks.io.

What's the story behind your product?

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.

What makes your product unique?

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.

Which are the primary technologies used for building your product?

Codehooks.io's answer:

Node.js, Docker, Kubernetes, RocksDB

Who are some of the biggest customers of your product?

Codehooks.io's answer:

No big customers we are allowed to disclose (yet) - mostly indiehackers and small businesses.

Why should a person choose your product over its competitors?

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).

How would you describe your primary audience?

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.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Cassandra and Codehooks.io

Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Codehooks.io Reviews

We have no reviews of Codehooks.io yet.
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Social recommendations and mentions

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.

Apache Cassandra mentions (41)

  • Consistent Hashing: An Overview and Implementation in Golang
    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 month ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    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 / 2 months ago
  • How to choose the right type of database
    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 / 4 months ago
  • Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.
    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: 9 months ago
  • How to Choose the Right Document-Oriented NoSQL Database for Your Application
    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 / 10 months ago
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Codehooks.io mentions (12)

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What are some alternatives?

When comparing Apache Cassandra and Codehooks.io, you can also consider the following products

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.

restdb.io - restdb.io lets you create databases and REST APIs quickly. Development databases are free. Powerful web-based and mobile-friendly data management.