Software Alternatives, Accelerators & Startups

Google Cloud Functions VS Postgresus

Compare Google Cloud Functions VS Postgresus 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 Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

Postgresus logo Postgresus

PostgreSQL monitoring and backups (open source, free and self hosted)
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • Postgresus Dashboard
    Dashboard //
    2025-07-08

Postgresus is a free, open source and self-hosted tool to monitor PostgreSQL and make backups. With different storages and notifications about progress

Features: - Health checks each minute with availability chart - Save backups locally, to S3, Google Drive and more - Scheduled backups (daily, weekly, at 4 AM, etc.) - Notifications to email, Telegram, Slack, etc. - PostgreSQL from v13 to v17 supported

Postgresus

$ Details
free
Platforms
Cloud AWS
Release Date
2025 June
Startup details
Country
United States
State
New York
Founder(s)
Rostislav Dugin
Employees
1 - 9

Google Cloud Functions features and specs

  • Scalability
    Google Cloud Functions automatically scale up or down as per demand, allowing you to handle varying workloads efficiently without manual intervention.
  • Cost-effectiveness
    You only pay for the actual compute time your functions use, rather than for pre-allocated resources, making it a cost-effective solution for many use cases.
  • Easy Integration
    Seamless integration with other Google Cloud services like Cloud Storage, Pub/Sub, and Firestore simplifies building complex, event-driven architectures.
  • Simplified Deployment
    Deploying functions is straightforward and does not require managing underlying infrastructure, reducing the operational overhead for developers.
  • Supports Multiple Languages
    Supports various programming languages including Node.js, Python, Go, and Java, offering flexibility to developers to use the language they are most comfortable with.

Possible disadvantages of Google Cloud Functions

  • Cold Start Latency
    Functions may experience cold start latency when they have not been invoked for a while, leading to higher initial response times.
  • Limited Execution Time
    Cloud Functions have a maximum execution timeout (typically 9 minutes), making them unsuitable for long-running tasks or processes.
  • Vendor Lock-In
    Heavily relying on Google Cloud Services can make it difficult to migrate to other cloud providers, leading to potential vendor lock-in.
  • Complexity in Local Testing
    Testing cloud functions locally can be challenging and may not fully replicate the cloud environment, complicating the development and debugging process.
  • Limited Customization
    Less control over the underlying infrastructure might pose challenges if you require specific customizations that are not supported by Cloud Functions.

Postgresus features and specs

  • Monitoring
    Monitor your PostgreSQL database and it's metrics
  • Backups
    Backup your DB locally, to S3, Google Drive and other sources
  • Scheduled backups
    Backup the DB daily, weekly, at specific time (like 4 AM)

Analysis of Google Cloud Functions

Overall verdict

  • Yes, Google Cloud Functions is a good choice for developers who need a reliable and scalable serverless platform. Its integration with the Google Cloud ecosystem and support for multiple trigger types make it a versatile tool for building applications quickly and efficiently.

Why this product is good

  • Google Cloud Functions is a serverless execution environment that allows you to run your code in response to events without the complexity of managing servers. It is known for its ease of use, scalability, and seamless integration with other Google Cloud services. The pay-as-you-go pricing model makes it cost-effective for applications with variable workloads. Additionally, it supports multiple programming languages, enabling developers to use their preferred technology stack.

Recommended for

  • Developers looking for a serverless compute solution.
  • Teams building microservices and event-driven architectures.
  • Organizations that prefer a pay-per-use pricing model to optimize cost.
  • Projects requiring automatic scaling to handle varying loads.
  • Developers wanting to integrate easily with other Google Cloud services.

Analysis of Postgresus

Overall verdict

  • Postgresus is a solid, focused open-source backup solution for PostgreSQL that emphasizes simplicity, reliability, and automation, making it a good choice for teams that want straightforward, self-hosted database backup management without the complexity of larger enterprise tools.

Why this product is good

  • Open-source and self-hostable, giving full control over data and infrastructure
  • Simple setup and configuration tailored specifically for PostgreSQL backups
  • Supports automated, scheduled backups reducing manual intervention and human error
  • Lightweight tool focused on doing one job well rather than being a bloated all-in-one platform
  • Likely supports common storage backends (e.g., S3-compatible storage) for flexible backup destinations
  • Cost-effective alternative to paid managed backup services since it's free/open-source

Recommended for

  • Developers and DevOps teams managing PostgreSQL databases who want automated backups
  • Startups and small-to-medium businesses looking for a cost-effective, self-hosted backup solution
  • Organizations with strict data residency or compliance requirements needing self-hosted control
  • Teams already using PostgreSQL who want a lightweight, dedicated backup tool instead of a general-purpose solution
  • Users comfortable with self-hosting and maintaining open-source infrastructure tools

Google Cloud Functions videos

Google Cloud Functions: introduction to event-driven serverless compute on GCP

More videos:

  • Review - Building Serverless Applications with Google Cloud Functions (Next '17 Rewind)

Postgresus videos

No Postgresus videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Google Cloud Functions and Postgresus)
Cloud Computing
100 100%
0% 0
Databases
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Monitoring Tools
0 0%
100% 100

Questions & Answers

As answered by people managing Google Cloud Functions and Postgresus.

What makes your product unique?

Postgresus's answer:

It is free and open source

How would you describe the primary audience of your product?

Postgresus's answer:

Backend developers, DBAs and DevOps

What's the story behind your product?

Postgresus's answer:

This was the tool I developed for my own projects. Then I decided to go open source and joined GitHub

Which are the primary technologies used for building your product?

Postgresus's answer:

Golang, React, TypeScript and Docker

User comments

Share your experience with using Google Cloud Functions and Postgresus. 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 Cloud Functions and Postgresus

Google Cloud Functions Reviews

Top 7 Firebase Alternatives for App Development in 2024
Google Cloud Functions is a natural choice for those looking to migrate from Firebase while staying within the Google Cloud ecosystem.
Source: signoz.io

Postgresus Reviews

We have no reviews of Postgresus yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Cloud Functions should be more popular than Postgresus. It has been mentiond 52 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.

Google Cloud Functions mentions (52)

  • This is Cloud Run: A Decision Guide for Developers
    If this sounds like Cloud Functions, here's the history. Cloud Functions 1st gen ran on older, separate infrastructure with strict limits: 9-minute timeouts, one request per instance, no concurrency. Cloud Functions 2nd gen (GA in 2022) was already built on top of Cloud Run under the hood, which unlocked 60-minute timeouts and multi-request concurrency. In 2024, Google made it official and rebranded 2nd gen as... - Source: dev.to / 4 months ago
  • Simplifying basic (genAI) web app deployment with serverless
    Cloud Functions (GCF) -- originally serverless functions to compete with AWS Lambda; latest generation rebranded as Cloud Run Functions. - Source: dev.to / 8 months ago
  • Taking The Cloud Resume Challenge: GCP Style
    Of course, I can't just directly give my static website permissions to modify my databases, which is why I created a Cloud Function as a "middle-man" -- we should always assume there will be malicious actors that will cause irreparable damage if they have direct access to a database (I don't want to get charged by Google Cloud hehe). - Source: dev.to / 11 months ago
  • Automate GitHub like a pro: Build your own bot with TypeScript and Serverless
    Itโ€™s a lightweight GitHub App built with Probot and deployed serverlessly on GCF. Here's what it does:. - Source: dev.to / about 1 year ago
  • Top 10 Programming Trends and Languages to Watch in 2025
    Serverless architectures are revolutionizing software development by removing the need for server management. Cloud services like AWS Lambda, Google Cloud Functions, and Azure Functions allow developers to concentrate on writing code, as these platforms handle scaling automatically. - Source: dev.to / about 1 year ago
View more

Postgresus mentions (14)

  • Why you don't need PITR and incremental backups for most PostgreSQL databases in 2026
    PostgreSQL backup tools like Postgresus make implementing this strategy straightforward. Postgresus automates backup scheduling. It handles encryption and compression. It supports multiple storage destinations and provides monitoring that ensures backups actually succeed. It delivers the protection most databases need without the complexity of WAL archiving (this is why it is suitable both for self-hosted and... - Source: dev.to / 7 months ago
  • Top 7 pg_dump Backup Strategies for Production-Grade PostgreSQL
    Implementing these seven strategies manually requires significant scripting, scheduling and monitoring infrastructure. Postgresus is the most popular tool for PostgreSQL backup, providing all these strategies through a web interface that takes minutes to configure. It handles scheduling, rotation, multi-destination storage (S3, Google Drive, Dropbox, NAS), AES-256-GCM encryption and instant notifications โ€”... - Source: dev.to / 7 months ago
  • Top 5 Backup Formats and When to Use Them for PostgreSQL
    For teams managing multiple PostgreSQL databases, manually choosing formats and managing backups across environments becomes tedious. Postgresus automates PostgreSQL backup by selecting optimal settings based on your database size, handling compression, encryption (AES-256-GCM) and multi-destination storage (S3, Google Drive, Dropbox, NAS) โ€” all through a web interface that takes minutes to configure. - Source: dev.to / 7 months ago
  • Top 5 Ways to Combine pg_dump with Cloud Storage
    Managing pg_dump scripts, cron schedules, cloud credentials and retention policies across multiple databases quickly becomes a maintenance burden. Postgresus is the most popular tool for PostgreSQL backup, designed for both individuals and enterprise teams. It uses pg_dump internally but provides a web interface for configuring schedules, connecting multiple storage destinations (S3, Cloudflare R2, Google Drive,... - Source: dev.to / 7 months ago
  • How to Backup and Restore a Single PostgreSQL Table with pg_dump
    While pg_dump gives you complete control over single-table operations, managing backups across multiple databases and schedules requires scripting and maintenance. PostgreSQL backup tools like Postgresus โ€” the most popular backup solution for PostgreSQL โ€” handle scheduling, retention, encryption, and multi-destination storage through a clean web interface, suitable for individuals and enterprise teams alike. - Source: dev.to / 7 months ago
View more

What are some alternatives?

When comparing Google Cloud Functions and Postgresus, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Open PostgreSQL Monitoring - Oversee and Manage Your PostgreSQL Servers

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.

Argus DBA - Monitor the availability of your PostgreSQL clusters with instant alerts. Lightweight agent, no open ports, free to start.

AWS Lambda - Automatic, event-driven compute service

neon - Neon - Showreel 2016-17. Info. Shopping. Tap to unmute. If playback doesn't begin shortly, try restarting your device.