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AppWrite VS Google Cloud Dataflow

Compare AppWrite VS Google Cloud Dataflow and see what are their differences

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AppWrite logo AppWrite

Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • AppWrite Landing page
    Landing page //
    2023-09-28
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

AppWrite features and specs

  • Open Source
    AppWrite is an open-source platform, allowing developers to inspect, modify, and contribute to the code base, ensuring transparency and flexibility.
  • Self-Hosted
    Being self-hosted, AppWrite gives developers complete control over their data and server environment, enhancing security and customization options.
  • Comprehensive Backend
    AppWrite offers a wide range of backend services out-of-the-box, including authentication, database management, storage, and serverless functions, reducing the need for additional third-party services.
  • Multi-Language Support
    AppWrite supports various programming languages, which makes it versatile and developer-friendly, allowing the integration with different tech stacks.
  • Community and Documentation
    AppWrite has an active community and well-documented guides, tutorials, and API references, which are essential for learning and troubleshooting.

Possible disadvantages of AppWrite

  • Resource Intensive
    Being a self-hosted solution, AppWrite may require significant server resources for optimal performance, which can be costly.
  • Initial Setup Complexity
    The initial setup and configuration can be complex and time-consuming, particularly for those less experienced with server management.
  • Limited Third-Party Integrations
    As compared to some other backend-as-a-service (BaaS) platforms, AppWrite has fewer pre-built third-party integrations, which might limit its extensibility.
  • Newer and Evolving
    AppWrite is relatively new and still evolving, which can mean fewer features compared to more mature platforms and the potential for more bugs.
  • Maintenance Responsibility
    Since it is self-hosted, the responsibility for server maintenance, updates, and security falls solely on the user, which can be a drawback for smaller teams or solo developers.

Google Cloud Dataflow features and specs

  • Scalability
    Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
  • Fully Managed
    Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
  • Unified Programming Model
    It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
  • Real-time Analytics
    Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
  • Cost Efficiency
    Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
  • Global Availability
    Cloud Dataflow is available globally, which allows for regionalized data processing.
  • Fault Tolerance
    Built-in fault tolerance mechanisms help ensure uninterrupted data processing.

Possible disadvantages of Google Cloud Dataflow

  • Steep Learning Curve
    The complexity of using Apache Beam and understanding its model can be challenging for beginners.
  • Debugging Difficulties
    Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
  • Cost Management
    While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
  • Vendor Lock-in
    Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
  • Limited Support for Non-Google Services
    While it integrates well within Google Cloud, support for non-Google services may not be as robust.
  • Latency
    There can be some latency in data processing, especially when dealing with high volumes of data.
  • Complexity in Pipeline Design
    Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.

AppWrite videos

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Google Cloud Dataflow videos

+ Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to AppWrite and Google Cloud Dataflow)

AppWrite

Google Cloud Dataflow

Developer Tools
100 100%
Developer Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Backend As A Service
100 100%
Backend As A Service
0% 0
Data Dashboard
0 0%
Data Dashboard
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 AppWrite and Google Cloud Dataflow

AppWrite Reviews

  1. dndiel
    Appwrite is awesome, free and open-source!

    I've use it instead of Firebase on a 15$ DigitalOcean droplet and saved around ~$150 a month. Managing my own infra does take some extra time, but definitely worth it. The APIs and SDK are also surprisingly much easier to consume than Firebase. Waiting for the cloud version.

    🏁 Competitors: Firebase
    👍 Pros:    Easy to use|Cost effective|Open-source|Great user experience|Super simple|Self hosted
    👎 Cons:    Self hosted
10 Top Firebase Alternatives to Ignite Your Development in 2024
Appwrite’s self-hosted nature gives you complete control over your data and infrastructure, great for those who are security-conscious. It also offers a comprehensive set of features, including user authentication, database management, storage, cloud functions, and more. It’s like having your very own Firebase, but on your terms.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
Appwrite is an open-source backend-as-a-service platform that provides a comprehensive set of tools and APIs to help developers build modern applications. It focuses on simplicity and developer experience.
Source: signoz.io
Best Serverless Backend Tools of 2023: Pros & Cons, Features & Code Examples
Appwrite is a self-hosted BaaS platform giving you all the tools you need to build all sorts of application.
Source: www.rowy.io
2023 Firebase Alternatives: Top 10 Open-Source & Free
Appwrite permits the development to benefit from its open-source version without paying anything. However, its official website also declares that it will share the pricing details for Appwrite Cloud soon.
Source: digitalcruch.com
12 Best Open-source Database Backend Server and Google Firebase Alternatives
Appwrite is a self-hosted backend server for building web, mobile and desktop apps. It supports multiple applications natively without hacks or workarounds.It features a dashboard for apps, database, user, functions and storage management, real-time analytics per project, live connections monitor, background tasks and webhooks.Appwrite also is suitable for creating Geo-data...
Source: medevel.com

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, AppWrite seems to be a lot more popular than Google Cloud Dataflow. While we know about 174 links to AppWrite, we've tracked only 14 mentions of Google Cloud Dataflow. 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.

AppWrite mentions (174)

  • Build a React File Sharing App with Granular Access Controls (ReBAC)
    Appwrite is a backend-as-a-service platform that provides authentication, storage, and database. Appwrite is used for authentication and storage. - Source: dev.to / about 1 month ago
  • Flutter vs Native: Why Flutter Wins for TV App Development
    Flutter plays well with modern backend solutions like Firebase, Supabase, AWS Amplify, Appwrite, and PocketBase. This gives you a variety of options to choose from whether you are an indie developer, startup, established company, agency, or enterprise. - Source: dev.to / 8 months ago
  • 5 Tools Every Developer Must Use in 2024
    Appwrite also allows you to manage your application's backend services through a simple and intuitive dashboard, making it easy to monitor and control your resources. - Source: dev.to / 10 months ago
  • 100+ FREE Resources Every Web Developer Must Try
    . Netlify : Deploy your web projects with ease. . Render : Host web applications and static sites effortlessly. . GitHub Pages: Host your static websites directly from your GitHub repository. . Firebase Hosting: Scale your web apps effortlessly with Firebase. . Vercel: Deploy websites and applications with automatic deployments. . Cyclic.sh: Host your static sites with zero configuration. . Appwrite:... - Source: dev.to / 10 months ago
  • Why Appwrite Is Your Ideal BaaS in 2024 I'm
    Appwrite is a comprehensive Backend as a Service (BaaS) platform designed to help developers build and scale applications quickly and efficiently. Whether you're a solo indie hacker or part of a growing startup, Appwrite provides the essential features you need—database management, authentication, storage, and cloud functions—all in one unified platform. - Source: dev.to / 11 months ago
View more

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing AppWrite and Google Cloud Dataflow, you can also consider the following products

Supabase - An open source Firebase alternative

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

PocketBase.io - Open Source backend with realtime database, authentication, file storage and admin dashboard, all compiled in 1 portable executable.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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