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Pusher VS Google Cloud Datastore

Compare Pusher VS Google Cloud Datastore and see what are their differences

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Pusher logo Pusher

Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.
  • Pusher Landing page
    Landing page //
    2023-10-05
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12

Pusher features and specs

  • Real-Time Capabilities
    Pusher offers real-time data transfer, enabling instant updates and live feeds without the need for page refreshes. Its WebSockets-based architecture ensures low latency communication.
  • Ease of Use
    The API is straightforward to integrate, with comprehensive documentation and SDKs for various programming languages and platforms, making implementation quick and painless.
  • Scalability
    Pusher can handle a large number of concurrent connections, making it suitable for applications that need to scale seamlessly as user demand grows.
  • Security
    Pusher provides built-in authentication and authorization options, ensuring that data is secure and accessible only to authorized users.
  • Managed Service
    As a managed service, it eliminates the need for maintaining the infrastructure for real-time functionality, freeing up resources and reducing operational complexity.

Possible disadvantages of Pusher

  • Cost
    Pusher can become expensive, especially for applications with high traffic or requiring a large number of concurrent connections, making it less suitable for startups or small-scale projects on a tight budget.
  • Vendor Lock-In
    Relying heavily on Pusher's services can lead to vendor lock-in, making it challenging to migrate to another service or in-house solution in the future.
  • Limited Offline Functionality
    Pusher is designed for real-time online communication, and it does not inherently support offline capabilities, which can be a limitation for applications that need to function without a constant internet connection.
  • Complexity for Advanced Use Cases
    While it's easy to set up for basic use cases, implementing more complex scenarios may require additional configuration and a deeper understanding of the architecture.
  • Latency
    Even though Pusher boasts low-latency communication, network conditions and geographical distances can still introduce lag, which might not be acceptable for ultra-low-latency requirements like high-frequency trading.

Google Cloud Datastore features and specs

  • Scalability
    Google Cloud Datastore can automatically scale to handle large amounts of data and high read/write loads, making it suitable for applications with growing data needs.
  • Fully Managed
    As a fully managed service, Google Cloud Datastore eliminates the need for managing servers, software patches, and replication, allowing developers to focus on building applications.
  • High Availability
    Datastore provides strong consistency for reads and writes and is designed to maintain availability even in case of entire data center outages.
  • Flexible Data Model
    The schemaless nature of Datastore allows for a flexible data model that can easily adapt to changes in application requirements.
  • Integration with Google Cloud Platform
    Datastore seamlessly integrates with other Google Cloud Platform services, which simplifies the process of building end-to-end solutions.

Possible disadvantages of Google Cloud Datastore

  • Complex Query Language
    Datastore Query Language (GQL) can be less intuitive compared to SQL, which may pose a learning curve for developers accustomed to traditional relational databases.
  • Eventual Consistency for Queries
    While Datastore offers strong consistency for entity lookups by key, queries must be specifically configured for strong consistency, otherwise they might return eventually consistent data.
  • Cost
    As usage scales, costs can increase, particularly for applications with high write loads or those requiring many transactional operations, which might be a consideration for budget-conscious projects.
  • Limited Relational Capabilities
    Datastore is a NoSQL database, which means it lacks some of the relational features like joins and complex transactions that developers might expect from a SQL database.
  • Index Management
    Managing indexes can become complex, as every query in Datastore requires a corresponding index, and poorly planned indexes can lead to increased storage costs and slower query performance.

Analysis of Pusher

Overall verdict

  • Pusher is a solid choice for real-time communication needs. Its ease of integration, wide range of supported platforms, and reliable performance make it a good fit for many applications. However, like any third-party service, it's important to consider factors such as cost, specific requirements, and potential vendor lock-in.

Why this product is good

  • Pusher is a popular service for adding real-time functionality to applications. It offers robust APIs that make it easier to implement features such as notifications, live updates, and real-time chat functionality. Pusher's service is known for its reliability, ease of use, and scalability, making it a strong choice for developers who need to integrate real-time capabilities without building infrastructure from scratch.

Recommended for

  • Developers building real-time chat applications
  • Teams needing live updating features
  • Projects requiring scalable and reliable real-time communication
  • Developers looking for a quick-to-implement solution for notifications and updates

Pusher videos

+ Add

Mark Kermode reviews Pusher

More videos:

  • Review - Pusher (1996) - Movie Review
  • Review - Film Recommendations: The Pusher Trilogy

Google Cloud Datastore videos

No Google Cloud Datastore videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Pusher and Google Cloud Datastore)

Pusher

Google Cloud Datastore

Mobile Push Messaging
100 100%
Mobile Push Messaging
0% 0
Databases
0 0%
Databases
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pusher and Google Cloud Datastore

Pusher Reviews

SignalR Alternatives
Pusher as a signal Alternative comes into the picture when it is simple and has free plans for the fallback of SSE to make the frame and log polling also available to the developers for troubleshooting as well.
Source: www.educba.com

Google Cloud Datastore Reviews

We have no reviews of Google Cloud Datastore yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Pusher should be more popular than Google Cloud Datastore. It has been mentiond 55 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.

Pusher mentions (55)

  • 5 Must-Watch Tutorials to Build Your SaaS App in 2025
    In this tutorial, you’ll create a Next.js project with TailwindCSS and build custom authentication pages for Clerk without the watermark. This means you’ll create a custom Clerk authentication component, allowing you to have a UI without the Clerk branding in the authentication component. You’ll then set up file uploads using Uploadcare and create custom theming with Shadcn UI for light and dark modes. A real-time... - Source: dev.to / 3 months ago
  • PubNub vs Pusher creating a realtime messaging app in React
    When talking about general IM applications, having the ability to speak to someone in real-time opens up the door to so many unique possibilities. Our world has become ever more connected as a result of these newfound capabilities. In todays article we will learn all about messaging as we build a real-time messaging application. The application will be able to connect to two different real-time application... - Source: dev.to / 9 months ago
  • 10 Must-Use APIs for Your Next SaaS Project
    For real-time notifications, Pusher’s APIs allow you to implement in-app notifications, chat features, and collaboration tools easily. You can find it here. - Source: dev.to / 9 months ago
  • How to Build a Real-time Chat App with Laravel, Vue.js, and Pusher
    Pusher is a cloud-hosted service that makes adding real-time functionality to applications easy. It acts as a real-time communication layer between servers and clients. This allows your backend server to instantly broadcast new data via Pusher to your Vue.js client. - Source: dev.to / 9 months ago
  • Show HN: Webhooked.email (2023)
    Feature request received! Pusher as in this thing -- https://pusher.com/ right? Any other places you want to push to? Slack? - Source: Hacker News / 10 months ago
View more

Google Cloud Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called “Django-nonrel” experimented with the idea of using Django’s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 1 year ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: about 2 years ago
  • Is Cloud Run a good choice for a portfolio website?
    As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 3 years ago
  • Help! Difference between native and datastore
    Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 3 years ago
  • I'm a dev ID 10 T please help me
    Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 3 years ago
View more

What are some alternatives?

When comparing Pusher and Google Cloud Datastore, you can also consider the following products

Socket.io - Realtime application framework (Node.JS server)

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Datomic - The fully transactional, cloud-ready, distributed database

PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

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