Alternatives to Pushpin logo

Alternatives to Pushpin

Socket.IO, Nchan, Fanout, Django Channels, and NGINX are the most popular alternatives and competitors to Pushpin.
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What is Pushpin and what are its top alternatives?

Pushpin is a real-time collaborative editing tool that allows users to work together on code, documents, and other shared content. Its key features include live synchronization, version history, commenting, and sharing capabilities. However, it may have limitations in terms of customization options and integration with other tools.

  1. Google Docs: Google Docs is a popular online word processing tool that allows real-time collaboration on documents. Key features include commenting, version history, and seamless integration with Google Drive. Pros: Easy to use, widely accessible, and offers robust collaboration features. Cons: Limited customization options compared to Pushpin.
  2. Notion: Notion is an all-in-one workspace for note-taking, project management, and collaboration. It offers real-time collaboration, customizable layouts, and advanced organization features. Pros: Versatile, customizable, and integrates with various tools. Cons: Steeper learning curve for new users, may have performance issues with large databases.
  3. Slack: Slack is a popular team communication tool that offers real-time messaging, file sharing, and integration with other apps. Key features include channels for different topics, direct messaging, and custom integrations. Pros: Great for team communication, integrates with many tools, and offers a free plan. Cons: Not specifically designed for collaborative editing like Pushpin.
  4. Trello: Trello is a visual project management tool that allows teams to collaborate on tasks and workflows. It offers customizable boards, lists, and cards for organizing work. Pros: Easy to use, visual interface, and integrates with many apps. Cons: May not be as specialized for real-time collaborative editing as Pushpin.
  5. Quip: Quip is a collaborative productivity tool that combines documents, spreadsheets, and chat in one platform. It offers real-time editing, commenting, and task lists for team collaboration. Pros: All-in-one solution, integrates with Salesforce, and supports offline access. Cons: Less customizable compared to Pushpin.
  6. Coda: Coda is a collaborative workspace that combines documents, spreadsheets, and apps in one place. It offers real-time collaboration, interactive elements, and customizable templates. Pros: Flexible, interactive documents, and supports automation with packs. Cons: Complex for new users, may require time to master advanced features.
  7. Airtable: Airtable is a flexible database and project management tool that allows teams to organize and collaborate on data in various formats. It offers customizable tables, views, and integrations with other tools. Pros: Versatile, visually appealing interface, and supports collaboration on structured data. Cons: May not be as focused on text-based collaborative editing as Pushpin.
  8. HackMD: HackMD is a real-time collaborative markdown editor that enables users to write and edit documents together. Key features include version history, commenting, and export options. Pros: Lightweight, open-source, and supports markdown formatting. Cons: Less features compared to Pushpin, may not be as robust for complex document editing.
  9. Miro: Miro is an online whiteboard tool that allows teams to collaborate visually on projects, brainstorming, and planning. It offers real-time editing, sticky notes, and diverse templates for different use cases. Pros: Great for visual collaboration, user-friendly interface, and supports integrations with popular tools. Cons: Not specifically designed for text-based collaborative editing like Pushpin.
  10. Zoho Writer: Zoho Writer is an online word processor that enables teams to collaborate on documents in real-time. It offers version history, commenting, and track changes features for collaborative editing. Pros: Integrated with Zoho suite, user-friendly interface, and supports offline access. Cons: Limited advanced features compared to Pushpin, may not be as customizable.

Top Alternatives to Pushpin

  • Socket.IO
    Socket.IO

    It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed. ...

  • Nchan
    Nchan

    It is built as a module for the Nginx web server. It can be configured as a standalone server, or as a shim between your application and hundreds, thousands, or millions of live subscribers. It can buffer messages in memory, on-disk, or via Redis. ...

  • Fanout
    Fanout

    Fanout makes it easy to build realtime APIs and apps. The product is a cross between a reverse proxy and a message broker. Receivers subscribe to channels, and published data is delivered in realtime. ...

  • Django Channels
    Django Channels

    It does this by taking the core of Django and adding a fully asynchronous layer underneath, running Django itself in a synchronous mode but handling connections and sockets asynchronously, and giving you the choice to write in either style. ...

  • NGINX
    NGINX

    nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018. ...

  • Apache HTTP Server
    Apache HTTP Server

    The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server. Originally designed as a replacement for the NCSA HTTP Server, it has grown to be the most popular web server on the Internet. ...

  • Amazon EC2
    Amazon EC2

    It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. ...

  • 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. ...

Pushpin alternatives & related posts

Socket.IO logo

Socket.IO

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  • 143
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  • 141
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  • 102
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  • 102
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  • 26
    Binary streaming
  • 21
    No internet dependency
  • 10
    Large community
  • 6
    Push notification
  • 5
    Ease of access and setup
  • 1
    Test
CONS OF SOCKET.IO
  • 12
    Bad documentation
  • 4
    Githubs that complement it are mostly deprecated
  • 3
    Doesn't work on React Native
  • 2
    Small community
  • 2
    Websocket Errors

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dagim debebe

Hi,

I am a student and a junior developer who is a graduating candidate in comp sci major. I am about to start building my final year project which is a real-time messaging application for software developers to Enhance Knowledge Exchange and Problem Solving. It is mainly a chat application with more enhanced features. I am planning to use React and React Native for the frontend and cross-platform mobile apps, Node.js and ExpressJS for the backend, GraphQL for fetching and manipulating data from the backend and PostgreSQL for the database, and finally Socket.IO for the real-time chatting and communication. I would highly appreciate it if anyone here with experience in building similar apps to tell me if I made a good choice or suggest better tech stacks.

Thanks in advance.

See more
across_the_grid
Full-stack web developer · | 10 upvotes · 422.8K views
Shared insights
on
Socket.IOSocket.IONode.jsNode.jsExpressJSExpressJS

I use Socket.IO because the application has 2 frontend clients, which need to communicate in real-time. The backend-server handles the communication between these two clients via websockets. Socket.io is very easy to set up in Node.js and ExpressJS.

In the research project, the 1st client shows panoramic videos in a so called cave system (it is the VR setup of our research lab, which consists of three big screens, which are specially arranged, so the user experience the videos more immersive), the 2nd client controls the videos/locations of the 1st client.

See more
Nchan logo

Nchan

84
0
A scalable, flexible pub/sub server for the modern web
84
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    Be the first to leave a pro
    CONS OF NCHAN
      Be the first to leave a con

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      Pierre Chapuis
      Shared insights
      on
      NchanNchanNGINXNGINX
      at

      We use nginx because it is a great frontal Web server by itself, but also because we rely on the Nchan module for server push.

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      Fanout logo

      Fanout

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      Realtime APIs made simple
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        Be the first to leave a pro
        CONS OF FANOUT
          Be the first to leave a con

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          Django Channels logo

          Django Channels

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          1
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            Be the first to leave a con

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            Abdullah Adeel

            Hey everyone, I am planning to start a personal project that would be yet another social media project with real-time communication facilities like one-to-one chat, group chat, and later voice and video chat using WebRTC. The thing I am concerned about is Django being able to handle all the real-time stuff using websockets. I can use Django Channels, but I don't think that would be a very scalable solution. Moreover, django_channels require alto of configurations, and deployment is also a pain. My plan is to use a separate Node.js server to handle all the socket connections and have it talk to the main django server through Redis. My question is whether the above-mentioned solution is a good choice? If yes, how this can be achieved, keeping in mind all the authentication other related problems. It might be simple, but I have never done this before, which might be the main reason I am concerned. But any suggestion will be appreciated.

            Thanks in advance 😊

            See more
            NGINX logo

            NGINX

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              Predictability
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              Great Community
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            Simon Reymann
            Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.9M views

            Our whole DevOps stack consists of the following tools:

            • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
            • Respectively Git as revision control system
            • SourceTree as Git GUI
            • Visual Studio Code as IDE
            • CircleCI for continuous integration (automatize development process)
            • Prettier / TSLint / ESLint as code linter
            • SonarQube as quality gate
            • Docker as container management (incl. Docker Compose for multi-container application management)
            • VirtualBox for operating system simulation tests
            • Kubernetes as cluster management for docker containers
            • Heroku for deploying in test environments
            • nginx as web server (preferably used as facade server in production environment)
            • SSLMate (using OpenSSL) for certificate management
            • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
            • PostgreSQL as preferred database system
            • Redis as preferred in-memory database/store (great for caching)

            The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

            • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
            • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
            • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
            • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
            • Scalability: All-in-one framework for distributed systems.
            • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
            See more
            John-Daniel Trask
            Co-founder & CEO at Raygun · | 19 upvotes · 496.8K views

            We chose AWS because, at the time, it was really the only cloud provider to choose from.

            We tend to use their basic building blocks (EC2, ELB, Amazon S3, Amazon RDS) rather than vendor specific components like databases and queuing. We deliberately decided to do this to ensure we could provide multi-cloud support or potentially move to another cloud provider if the offering was better for our customers.

            We’ve utilized c3.large nodes for both the Node.js deployment and then for the .NET Core deployment. Both sit as backends behind an nginx instance and are managed using scaling groups in Amazon EC2 sitting behind a standard AWS Elastic Load Balancing (ELB).

            While we’re satisfied with AWS, we do review our decision each year and have looked at Azure and Google Cloud offerings.

            #CloudHosting #WebServers #CloudStorage #LoadBalancerReverseProxy

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            Apache HTTP Server logo

            Apache HTTP Server

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            Nick Rockwell
            SVP, Engineering at Fastly · | 46 upvotes · 4.3M views

            When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

            So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

            React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

            Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

            See more
            Tim Abbott
            Shared insights
            on
            NGINXNGINXApache HTTP ServerApache HTTP Server
            at

            We've been happy with nginx as part of our stack. As an open source web application that folks install on-premise, the configuration system for the webserver is pretty important to us. I have a few complaints (e.g. the configuration syntax for conditionals is a pain), but overall we've found it pretty easy to build a configurable set of options (see link) for how to run Zulip on nginx, both directly and with a remote reverse proxy in front of it, with a minimum of code duplication.

            Certainly I've been a lot happier with it than I was working with Apache HTTP Server in past projects.

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            Amazon EC2 logo

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              Easy management, scalability
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              Flexible
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              Widely used
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            Ashish Singh
            Tech Lead, Big Data Platform at Pinterest · | 38 upvotes · 3.4M views

            To provide employees with the critical need of interactive querying, we’ve worked with Presto, an open-source distributed SQL query engine, over the years. Operating Presto at Pinterest’s scale has involved resolving quite a few challenges like, supporting deeply nested and huge thrift schemas, slow/ bad worker detection and remediation, auto-scaling cluster, graceful cluster shutdown and impersonation support for ldap authenticator.

            Our infrastructure is built on top of Amazon EC2 and we leverage Amazon S3 for storing our data. This separates compute and storage layers, and allows multiple compute clusters to share the S3 data.

            We have hundreds of petabytes of data and tens of thousands of Apache Hive tables. Our Presto clusters are comprised of a fleet of 450 r4.8xl EC2 instances. Presto clusters together have over 100 TBs of memory and 14K vcpu cores. Within Pinterest, we have close to more than 1,000 monthly active users (out of total 1,600+ Pinterest employees) using Presto, who run about 400K queries on these clusters per month.

            Each query submitted to Presto cluster is logged to a Kafka topic via Singer. Singer is a logging agent built at Pinterest and we talked about it in a previous post. Each query is logged when it is submitted and when it finishes. When a Presto cluster crashes, we will have query submitted events without corresponding query finished events. These events enable us to capture the effect of cluster crashes over time.

            Each Presto cluster at Pinterest has workers on a mix of dedicated AWS EC2 instances and Kubernetes pods. Kubernetes platform provides us with the capability to add and remove workers from a Presto cluster very quickly. The best-case latency on bringing up a new worker on Kubernetes is less than a minute. However, when the Kubernetes cluster itself is out of resources and needs to scale up, it can take up to ten minutes. Some other advantages of deploying on Kubernetes platform is that our Presto deployment becomes agnostic of cloud vendor, instance types, OS, etc.

            #BigData #AWS #DataScience #DataEngineering

            See more
            Simon Reymann
            Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.9M views

            Our whole DevOps stack consists of the following tools:

            • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
            • Respectively Git as revision control system
            • SourceTree as Git GUI
            • Visual Studio Code as IDE
            • CircleCI for continuous integration (automatize development process)
            • Prettier / TSLint / ESLint as code linter
            • SonarQube as quality gate
            • Docker as container management (incl. Docker Compose for multi-container application management)
            • VirtualBox for operating system simulation tests
            • Kubernetes as cluster management for docker containers
            • Heroku for deploying in test environments
            • nginx as web server (preferably used as facade server in production environment)
            • SSLMate (using OpenSSL) for certificate management
            • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
            • PostgreSQL as preferred database system
            • Redis as preferred in-memory database/store (great for caching)

            The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

            • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
            • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
            • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
            • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
            • Scalability: All-in-one framework for distributed systems.
            • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
            See more
            Firebase logo

            Firebase

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            Stephen Gheysens
            Lead Solutions Engineer at Inscribe · | 14 upvotes · 1.8M views

            Hi Otensia! I'd definitely recommend using the skills you've already got and building with JavaScript is a smart way to go these days. Most platform services have JavaScript/Node SDKs or NPM packages, many serverless platforms support Node in case you need to write any backend logic, and JavaScript is incredibly popular - meaning it will be easy to hire for, should you ever need to.

            My advice would be "don't reinvent the wheel". If you already have a skill set that will work well to solve the problem at hand, and you don't need it for any other projects, don't spend the time jumping into a new language. If you're looking for an excuse to learn something new, it would be better to invest that time in learning a new platform/tool that compliments your knowledge of JavaScript. For this project, I might recommend using Netlify, Vercel, or Google Firebase to quickly and easily deploy your web app. If you need to add user authentication, there are great examples out there for Firebase Authentication, Auth0, or even Magic (a newcomer on the Auth scene, but very user friendly). All of these services work very well with a JavaScript-based application.

            See more
            Eugene Cheah

            For inboxkitten.com, an opensource disposable email service;

            We migrated our serverless workload from Cloud Functions for Firebase to CloudFlare workers, taking advantage of the lower cost and faster-performing edge computing of Cloudflare network. Made possible due to our extremely low CPU and RAM overhead of our serverless functions.

            If I were to summarize the limitation of Cloudflare (as oppose to firebase/gcp functions), it would be ...

            1. <5ms CPU time limit
            2. Incompatible with express.js
            3. one script limitation per domain

            Limitations our workload is able to conform with (YMMV)

            For hosting of static files, we migrated from Firebase to CommonsHost

            More details on the trade-off in between both serverless providers is in the article

            See more