Alternatives to Deployd logo

Alternatives to Deployd

DreamFactory, Firebase, MongoDB, LoopBack, and Hoodie are the most popular alternatives and competitors to Deployd.
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What is Deployd and what are its top alternatives?

Deployd is the simplest way to build realtime APIs for web and mobile apps. Ready-made, configurable Resources add common functionality to a Deployd backend, which can be further customized with JavaScript Events.
Deployd is a tool in the API Tools category of a tech stack.
Deployd is an open source tool with 5K GitHub stars and 690 GitHub forks. Here’s a link to Deployd's open source repository on GitHub

Top Alternatives to Deployd

  • DreamFactory

    DreamFactory

    DreamFactory is an open source REST API backend for mobile, web, and IoT applications. It provides RESTful web services with pre-built connectors to SQL, NoSQL, file storage systems, and web services. It's secure, reusable, and offers live API documentation. ...

  • Firebase

    Firebase

    Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds. ...

  • MongoDB

    MongoDB

    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding. ...

  • LoopBack

    LoopBack

    A highly-extensible, open-source Node.js framework that enables you to create dynamic end-to-end REST APIs with little or no coding. Connect to multiple data sources, write business logic in Node.js, glue on top of your existing services and data, connect using JS, iOS & Android SDKs. ...

  • Hoodie

    Hoodie

    We want to enable you to build complete web apps in days, without having to worry about backends, databases or servers, all with an open source library that's as simple to use as jQuery. ...

  • Postman

    Postman

    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...

  • Amazon API Gateway

    Amazon API Gateway

    Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management. ...

  • Insomnia REST Client

    Insomnia REST Client

    Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux. ...

Deployd alternatives & related posts

DreamFactory logo

DreamFactory

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Open source REST API backend for mobile, web, and IoT applications.
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related DreamFactory posts

related Firebase posts

Tassanai Singprom

This is my stack in Application & Data

JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

My Utilities Tools

Google Analytics Postman Elasticsearch

My Devops Tools

Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

My Business Tools

Slack

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We are starting to work on a web-based platform aiming to connect artists (clients) and professional freelancers (service providers). In-app, timeline-based, real-time communication between users (& storing it), file transfers, and push notifications are essential core features. We are considering using Node.js, ExpressJS, React, MongoDB stack with Socket.IO & Apollo, or maybe using Real-Time Database and functionalities of Firebase.

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related MongoDB posts

Jeyabalaji Subramanian

Recently we were looking at a few robust and cost-effective ways of replicating the data that resides in our production MongoDB to a PostgreSQL database for data warehousing and business intelligence.

We set ourselves the following criteria for the optimal tool that would do this job: - The data replication must be near real-time, yet it should NOT impact the production database - The data replication must be horizontally scalable (based on the load), asynchronous & crash-resilient

Based on the above criteria, we selected the following tools to perform the end to end data replication:

We chose MongoDB Stitch for picking up the changes in the source database. It is the serverless platform from MongoDB. One of the services offered by MongoDB Stitch is Stitch Triggers. Using stitch triggers, you can execute a serverless function (in Node.js) in real time in response to changes in the database. When there are a lot of database changes, Stitch automatically "feeds forward" these changes through an asynchronous queue.

We chose Amazon SQS as the pipe / message backbone for communicating the changes from MongoDB to our own replication service. Interestingly enough, MongoDB stitch offers integration with AWS services.

In the Node.js function, we wrote minimal functionality to communicate the database changes (insert / update / delete / replace) to Amazon SQS.

Next we wrote a minimal micro-service in Python to listen to the message events on SQS, pickup the data payload & mirror the DB changes on to the target Data warehouse. We implemented source data to target data translation by modelling target table structures through SQLAlchemy . We deployed this micro-service as AWS Lambda with Zappa. With Zappa, deploying your services as event-driven & horizontally scalable Lambda service is dumb-easy.

In the end, we got to implement a highly scalable near realtime Change Data Replication service that "works" and deployed to production in a matter of few days!

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Robert Zuber

We use MongoDB as our primary #datastore. Mongo's approach to replica sets enables some fantastic patterns for operations like maintenance, backups, and #ETL.

As we pull #microservices from our #monolith, we are taking the opportunity to build them with their own datastores using PostgreSQL. We also use Redis to cache data we’d never store permanently, and to rate-limit our requests to partners’ APIs (like GitHub).

When we’re dealing with large blobs of immutable data (logs, artifacts, and test results), we store them in Amazon S3. We handle any side-effects of S3’s eventual consistency model within our own code. This ensures that we deal with user requests correctly while writes are in process.

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LoopBack logo

LoopBack

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Build modern API applications that require complex integrations
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related LoopBack posts

Samuel Olugbemi
Software Engineer at Payzone UK · | 6 upvotes · 83.2K views
Shared insights
on
LoopBack
ExpressJS
at

I use LoopBack because it is: * It is truly and Unbelievably Extensible * it is default integrated with OpenAPI (Swagger) Spec Driven REST API * I write lesser codes, because most of the user stories have been covered using the code generation * It's documentation is more compact and well detailed than ExpressJS * It is very easy to learn, hence you can build a basic Rest API App in minutes * It has built in NPM packages required to build my Rest API which saves me time on installation and configuration * The Datasource/Service/Controller concept is just Brilliant (that's mostly all you need to get your app speaking with an External API services) * The support for SOAP and Rest API services is amazing!

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Shared insights
on
NestJS
Jest
LoopBack

We inherited this project and the backend is using LoopBack v3. I haven't taken a look at Loopback.io v4, but I'm planning to replace it. The reason being is that Loopback v3 documentation is a bit confusing and we are having trouble packaging the build using Webpack. Not to mention, integrating unit tests (latest Jest).

I still think Loopback is a great tool, but their documentation is really "messy" and hard to navigate through. There's also a constraint of time from our side. So what's the best option out there?

Should I try upgrading to Loopback v4, or trying other stuff? (i.e. NestJS)

Thanks!

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Hoodie logo

Hoodie

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A fast offline-first architecture for webapps. Super-simple user management & storage. Great for mobile.
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related Hoodie posts

related Postman posts

Noah Zoschke
Engineering Manager at Segment · | 30 upvotes · 1.7M views

We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.

Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username, password and workspace_name so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.

Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.

This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct

Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 23 upvotes · 1.3M views

Our whole Node.js backend stack consists of the following tools:

  • Lerna as a tool for multi package and multi repository management
  • npm as package manager
  • NestJS as Node.js framework
  • TypeScript as programming language
  • ExpressJS as web server
  • Swagger UI for visualizing and interacting with the API’s resources
  • Postman as a tool for API development
  • TypeORM as object relational mapping layer
  • JSON Web Token for access token management

The main reason we have chosen Node.js over PHP is related to the following artifacts:

  • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
  • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
  • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
  • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
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Amazon API Gateway logo

Amazon API Gateway

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Create, publish, maintain, monitor, and secure APIs at any scale
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related Amazon API Gateway posts

A Luthra
VP Software Engrg at Reliant · | 2 upvotes · 72.9K views
Shared insights
on
Apigee
Amazon API Gateway

Amazon API Gateway vs Apigee. How do they compare as an API Gateway? What is the equivalent functionality, similarities, and differences moving from Apigee API GW to AWS API GW?

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related Insomnia REST Client posts

Jason Barry
Cofounder at FeaturePeek · | 4 upvotes · 1.6M views

We've tried a couple REST clients over the years, and Insomnia REST Client has won us over the most. Here's what we like about it compared to other contenders in this category:

  • Uncluttered UI. Things are only in your face when you need them, and the app is visually organized in an intuitive manner.
  • Native Mac app. We wanted the look and feel to be on par with other apps in our OS rather than a web app / Electron app (cough Postman).
  • Easy team sync. Other apps have this too, but Insomnia's model best sets the "set and forget" mentality. Syncs are near instant and I'm always assured that I'm working on the latest version of API endpoints. Apps like Paw use a git-based approach to revision history, but I think this actually over-complicates the sync feature. For ensuring I'm always working on the latest version of something, I'd rather have the sync model be closer to Dropbox's than git's, and Insomnia is closer to Dropbox in that regard.

Some features like automatic public-facing documentation aren't supported, but we currently don't have any public APIs, so this didn't matter to us.

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