Software Alternatives, Accelerators & Startups

Google App Engine VS Firebird

Compare Google App Engine VS Firebird and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.

Firebird logo Firebird

Relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platform
  • Google App Engine Landing page
    Landing page //
    2023-10-17
  • Firebird Landing page
    Landing page //
    2021-10-14

Google App Engine features and specs

  • Auto-scaling
    Google App Engine automatically scales your application based on the traffic it receives, ensuring that your application can handle varying workloads without manual intervention.
  • Managed environment
    App Engine provides a fully managed environment, covering infrastructure management tasks like server provisioning, patching, monitoring, and managing app versions.
  • Integrated services
    Seamlessly integrates with other Google Cloud services such as Datastore, Cloud SQL, Pub/Sub, and more, offering a comprehensive ecosystem for building and deploying applications.
  • Multiple languages support
    Supports multiple programming languages including Java, Python, PHP, Node.js, Go, Ruby, and .NET, giving developers flexibility in choosing their preferred language.
  • Security
    Offers robust security features including Identity and Access Management (IAM), Cloud Identity, and automated security updates, which help protect your applications from vulnerabilities.
  • Developer productivity
    App Engine allows rapid development and deployment, letting developers focus on writing code without worrying about infrastructure management, thus boosting productivity.
  • Versioning
    Supports versioning of applications, allowing multiple versions of the application to be hosted simultaneously, which helps in A/B testing and rollback capabilities.

Possible disadvantages of Google App Engine

  • Cost
    While you pay for what you use, costs can escalate quickly with high traffic or resource-intensive applications. Detailed cost prediction can be challenging.
  • Vendor lock-in
    Relying heavily on Google App Engine's proprietary services and APIs can make it difficult to migrate applications to other platforms, leading to vendor lock-in.
  • Limited control
    Being a fully managed service, App Engine provides limited control over the underlying infrastructure which might be a limitation for certain advanced use cases.
  • Environment constraints
    Certain restrictions and limitations are imposed on the runtime environment, such as request timeout limits and specific resource quotas, which can affect application performance.
  • Complex debugging
    Debugging issues in a highly abstracted managed environment can be more complex and difficult compared to traditional server-hosted applications.
  • Cold start latency
    Serverless environments like App Engine can suffer from cold start latency, where the initial request triggers a delay as the environment spins up resources.
  • Configuration complexity
    Despite its benefits, configuring and optimizing App Engine for specific scenarios can be more complex than expected, requiring a steep learning curve.

Firebird features and specs

  • Open Source
    Firebird is an open-source database management system, which means it is free to use, often leading to lower total cost of ownership compared to proprietary solutions.
  • Cross-Platform Compatibility
    Firebird runs on multiple operating systems, including Windows, Linux, and MacOS, making it a versatile choice for various development environments.
  • Low Resource Consumption
    Firebird is known for its low resource requirements, making it highly efficient and suitable for both small and large-scale applications.
  • Advanced SQL Support
    Firebird supports a broad range of SQL standards and advanced features, including stored procedures, triggers, and full ACID-compliant transactions.
  • User Security
    Firebird offers robust user authentication and security features to manage database access and ensure data integrity.

Possible disadvantages of Firebird

  • Relative Popularity
    Firebird is less popular compared to other database systems like MySQL and PostgreSQL, which can result in a smaller community and fewer third-party tools or extensions.
  • Limited Documentation
    While there is official documentation available, some users may find it less comprehensive compared to the documentation of more popular databases.
  • Learning Curve
    New users who are not familiar with Firebird might encounter a steep learning curve, especially if they are used to working with other database management systems.
  • Limited Cloud Integration
    Firebird does not have the same level of support and optimization for cloud services as some other databases, potentially complicating cloud deployment.
  • Community Support
    While there is a community, the support response time might not be as fast or as comprehensive as databases with larger user bases.

Google App Engine videos

Get to know Google App Engine

More videos:

  • Review - Developing apps that scale automatically with Google App Engine

Firebird videos

The Best Budget Drag Car Ever! Pontiac Firebird TransAm Review!

More videos:

  • Review - 1982 Pontiac Firebird Trans Am | Retro Review
  • Review - Firebird Review Six Flags America Former Apocalypse Roller Coaster

Category Popularity

0-100% (relative to Google App Engine and Firebird)
Cloud Computing
100 100%
0% 0
Databases
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

Share your experience with using Google App Engine and Firebird. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Google App Engine and Firebird

Google App Engine Reviews

Top 5 Alternatives to Heroku
Google App Engine is fast, easy, but not that very cheap. The pricing is reasonable, and it comes with a free tier, which is great for small projects that are right for beginner developers who want to quickly set up their apps. It can also auto scale, create new instances as needed and automatically handle high availability. App Engine gets a positive rating for performance...
AppScale - The Google App Engine Alternative
AppScale is open source Google App Engine and allows you to run your GAE applications on any infrastructure, anywhere that makes sense for your business. AppScale eliminates lock-in and makes your GAE application portable. This way you can choose which public or private cloud platform is the best fit for your business requirements. Because we are literally the GAE...

Firebird Reviews

Top 10 free database tools for sys admins 2019 Update
DBeaver is an open source universal database tool for developers and database administrators that has a low memory footprint. It supports JDBC compliant databases such as MySQL, Oracle, IBM DB2, PostgreSQL, SQL Server, Firebird, SQLite, and Sybase. Its main features include the ability to browse and edit databases, create and execute SQL scripts, export data, transaction...

Social recommendations and mentions

Based on our record, Google App Engine seems to be a lot more popular than Firebird. While we know about 31 links to Google App Engine, we've tracked only 3 mentions of Firebird. 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.

Google App Engine mentions (31)

  • Guide to modern app-hosting without servers on Google Cloud
    If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / 5 months ago
  • Security in the Cloud: Your Role in the Shared Responsibility Model
    As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / 7 months ago
  • Hosting apps in the cloud with Google App Engine in 2024
    Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / 7 months ago
  • Fixing A Broken Deployment to Google App Engine
    In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / 11 months ago
  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 11 months ago
View more

Firebird mentions (3)

  • GitHub - neondatabase/neon: The serverless open source alternative to AWS Aurora Postgres - Written in Rust
    Y'know, this situation is why Firefox bounced off the names Phoenix and Firebird before settling. Source: almost 3 years ago
  • Leaving MySQL
    Another big open source DB I'd like to hear about more often is Firebird (https://firebirdsql.org/) which was forked from the Interbase code released by Borland (don't remember how they were called at the time). Four choices of connection model (process-by-connection, thread-by-connection, some weird mix, and in-process), full ANSI SQL, runs on all major platforms, and uses single file databases. Seems to be the... - Source: Hacker News / over 3 years ago
  • Any RBDMS that supports in-memory and multi-threaded writes?
    For C/C++ Firebird could be an option, although that isn't really "in memory" as it persists all data to disk. Source: about 4 years ago

What are some alternatives?

When comparing Google App Engine and Firebird, you can also consider the following products

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

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

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

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.

CouchBase - Document-Oriented NoSQL Database