Software Alternatives, Accelerators & Startups

Postgresus VS Datadog

Compare Postgresus VS Datadog and see what are their differences

Postgresus logo Postgresus

PostgreSQL monitoring and backups (open source, free and self hosted)

Datadog logo Datadog

See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
  • 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

  • Datadog Landing page
    Landing page //
    2023-10-05

Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.

Postgresus

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

Datadog

$ Details
freemium $15.0 / Monthly (per host)
Platforms
Browser REST API
Release Date
-
Startup details
Country
United States

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)

Datadog features and specs

  • Comprehensive Monitoring
    Datadog offers a wide range of monitoring capabilities including infrastructure, application performance, log management, and user experience monitoring. This provides a unified view across the entire tech stack.
  • Integration Ecosystem
    With over 400 integrations available, Datadog can easily connect with virtually any service, application, and technology stack, making it highly versatile.
  • Scalability
    Datadog is designed to scale from small startups to large enterprises, providing functionalities that cater to varied sizes and complexities of operations.
  • Real-Time Data
    The platform provides real-time data and analytics, which is crucial for diagnosing and troubleshooting issues as they arise.
  • Alerting and Notifications
    Advanced alerting and notification features allow users to set up custom alerts based on metrics, enabling proactive problem resolution.
  • User-Friendly Interface
    The user interface is intuitive and easy to navigate, even for those who are not particularly technical, making it accessible to a broader range of users.
  • Security Features
    Datadog includes various security features such as compliance tracking, threat detection, and anomaly detection, enhancing overall security posture.

Possible disadvantages of Datadog

  • Cost
    Datadog can become quite expensive, especially as the volume of monitored data and the number of integrations increases. This can be a limiting factor for smaller businesses.
  • Complexity
    With its extensive feature set, Datadog can be overwhelming for new users, requiring a steep learning curve to master all functionalities.
  • Data Retention
    The default data retention period is often shorter than what some organizations require, leading to additional costs for longer retention.
  • Performance Overhead
    The extensive data collection and monitoring capabilities can add performance overhead to the monitored systems, potentially impacting their performance.
  • Customization Limitations
    While Datadog provides extensive dashboards and visualizations, some users find the customization options to be limited compared to other monitoring solutions.
  • Support
    Some users have reported that the customer support can be slow or insufficient at times, which could be a downside when facing critical issues.

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

Analysis of Datadog

Overall verdict

  • Datadog is generally considered a good choice for organizations needing a comprehensive monitoring solution that provides deep insights across various aspects of their technology stack. Its scalability and integration capabilities make it appealing for businesses of all sizes, especially those leveraging cloud services.

Why this product is good

  • Datadog is a powerful monitoring and analytics platform that provides comprehensive visibility into cloud-scale applications. It's known for its robust set of features, including infrastructure monitoring, application performance management, log management, and security monitoring. Datadog's ability to integrate with a vast array of services and technologies makes it a versatile tool for organizations looking to monitor complex systems. Furthermore, its real-time dashboards and alerting capabilities help teams quickly identify and address performance issues, improving reliability and efficiency.

Recommended for

  • Organizations using multiple cloud services and wanting unified monitoring.
  • IT teams looking for a detailed application performance management solution.
  • Businesses that require scalable monitoring for dynamic environments.
  • Companies seeking robust alerting and automation capabilities for infrastructure and application management.

Postgresus videos

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Datadog videos

Datadog Review & Walkthrough

More videos:

  • Review - DataDog: What it is and where its going
  • Review - Datadog: 2-Minute Tour

Category Popularity

0-100% (relative to Postgresus and Datadog)
Postgres Tools
100 100%
0% 0
Monitoring Tools
1 1%
99% 99
Databases
100 100%
0% 0
Log Management
0 0%
100% 100

Questions & Answers

As answered by people managing Postgresus and Datadog.

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

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Postgresus and Datadog

Postgresus Reviews

We have no reviews of Postgresus yet.
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Datadog Reviews

The Best Cloud Cost Management Tool: An Expert Guide (2026)
If observability is covered by Datadog: Datadog answers *why* costs are high (e.g., a memory leak), but a FinOps tool answers *what* to do about it (e.g., resize the instance). If your primary need is correlating performance to cost, Datadog is excellent. If you need to automate the remediation of idle, oversized, or poorly scheduled resources, the gap is significant and a...
Source: nuvelia.fr
Smart Cloud Cost Optimization FinOps 2026: AWS, Datadog, Thalaxo Cloud Compared
If observability is already covered by Datadog: Datadogโ€™s Cloud Cost Management is powerful for correlating performance with cost. Itโ€™s enough if your primary need is deep analytical insight into why costs are what they are, and you have the internal resources to translate those insights into manual actions or custom automation. However, if you need automated actions like...
Source: thalaxo.com
CloudHealth vs Vantage vs Thalaxo Cloud: Multi-Cloud FinOps Compared (2026)
If observability is already covered by Datadog or another APM: Datadog excels at performance monitoring and can attribute application costs based on resource consumption metrics. However, it primarily focuses on observing and attributing performance-related costs. A dedicated FinOps tool like Thalaxo Cloud complements this by providing deeper infrastructure cost optimization...
Source: thalaxo.com
Top Datadog Competitors and Alternatives in 2025
Datadog is a fantastic platform that provides Monitoring and analytics services to businesses and organizations. However, some users have reported encountering pain points while using the platform. For instance, the cost of Datadog can be a concern for some businesses. Datadog can be relatively expensive, especially for large-scale deployments or organizations with a high...
Source: www.atatus.com
The 10 Best Nagios Alternatives in 2024 (Paid and Open-source)
10 Best Datadog Alternatives to Consider in 2023 Datadog is one of the most potent and versatile players on the market, but they have their fair share of downsides. The monitoring and observability space is quite competitive, so we will discuss 10 of the best Datadog alternatives and compare their pros and cons to determine which is better suited for your needs.
Source: betterstack.com

Social recommendations and mentions

Based on our record, Postgresus should be more popular than Datadog. It has been mentiond 14 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.

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

Datadog mentions (5)

  • Send the logs of your Shuttle-powered backend to Datadog
    Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / almost 3 years ago
  • I wanted a self hosted alternative to Atlassian status page so I build my own application !
    Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 3 years ago
  • Datadog on Kubernetes: Avoiding Common Pitfalls
    Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 5 years ago
  • Post-DockerCon spam
    .. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: about 5 years ago
  • Never write a UserService again
    We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / over 5 years ago

What are some alternatives?

When comparing Postgresus and Datadog, you can also consider the following products

Open PostgreSQL Monitoring - Oversee and Manage Your PostgreSQL Servers

Zabbix - Track, record, alert and visualize performance and availability of IT resources

pganalyze - PostgreSQL performance monitoring installed within minutes

NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.

Postgres Monitor - A better way to monitor and debug your Postgres database. Real-time health dashboards, query insights, dynamic recommendations and more.

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!