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Codehooks.io VS MongoDB

Compare Codehooks.io VS MongoDB and see what are their differences

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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.

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • 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.

  • MongoDB Landing page
    Landing page //
    2023-10-21

Codehooks.io features and specs

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

MongoDB features and specs

  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

Analysis of MongoDB

Overall verdict

  • MongoDB is generally regarded as a good database solution for applications needing flexibility, scalability, and fast development times. However, it may not be the best choice for applications requiring complex transactions or where ACID compliance is critical, as it originally prioritized availability over consistency. Recent improvements, including multi-document transactions, have addressed some concerns, making it more versatile.

Why this product is good

  • MongoDB is considered a good choice for certain types of applications due to its flexible schema design, scalability, horizontal scaling capabilities, and ease of use for developers who require rapid development cycles. It supports a wide range of data types and allows for full-text search, geospatial queries, and aggregation operations. MongoDB's document-oriented storage makes it well-suited for handling large volumes of unstructured data. Its robust ecosystem, including Atlas for cloud deployments, adds to its appeal by offering automated scaling, backups, and distributed architecture.

Recommended for

  • Applications requiring high scalability and performance with unstructured data
  • Real-time analytics and big data applications
  • Web and mobile applications needing rapid development and flexible data models
  • Projects that benefit from cloud-native solutions with managed services

Codehooks.io videos

+ Add

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

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

  • Review - The Good and Bad of MongoDB
  • Review - what is mongoDB

Category Popularity

0-100% (relative to Codehooks.io and MongoDB)

Codehooks.io

MongoDB

Backend As A Service
100 100%
Backend As A Service
0% 0
Databases
0 0%
Databases
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

Questions and Answers

As answered by people managing Codehooks.io and MongoDB.

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

Share your experience with using Codehooks.io and MongoDB. For example, how are they different and which one is better?
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Reviews

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

Codehooks.io Reviews

We have no reviews of Codehooks.io yet.
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MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:
Source: signoz.io
Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative
MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.
Source: blog.ferretdb.io
16 Top Big Data Analytics Tools You Should Know About
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.
Source: www.guru99.com

Social recommendations and mentions

MongoDB might be a bit more popular than Codehooks.io. We know about 18 links to it since March 2021 and only 15 links to Codehooks.io. 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 mentions (15)

  • Building Reliable Workflows with Serverless JavaScript
    And now, with Codehooks.io, building these workflows is easy, fast, and JavaScript-native. Let's dive in. - Source: dev.to / 17 days ago
  • Building SEO-Optimized Directory Services with Codehooks.io: A Developer's Guide
    In today's digital landscape, creating and maintaining directory services can be a complex task. Whether you're building a product catalog, service directory, or resource hub, you need a solution that's both developer-friendly and SEO-optimized. This is where the directory-template comes in - a powerful open-source solution built on Codehooks.io that makes it easy to create and deploy directory services. - Source: dev.to / about 2 months ago
  • Introducing JSON Schema for codehooks.io backend collections
    In today's fast-paced digital environment, having a reliable backend for applications is crucial. A good datastore ensures data integrity, security, and scalability, which are vital for both business and user experiences. Codehooks.io provides a solid solution with its Datastore, JSON schema support, and a MongoDB-like NoSQL API. This platform helps maintain data consistency and validation and offers a REST API... - Source: dev.to / 11 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    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 / over 1 year ago
  • DaisyUI + Alpine.js + Codehooks.io - the simple web app trio
    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 / over 1 year ago
View more

MongoDB mentions (18)

  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / 3 months ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 10 months ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 9 months ago
  • DocumentDB Elastic Cluster Pricing
    Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
  • I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
    You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago
View more

What are some alternatives?

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

Cloud Functions for Firebase - Serverless / Task Processing

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Google Cloud Functions - A serverless platform for building event-based microservices.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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.

MySQL - The world's most popular open source database

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