Software Alternatives, Accelerators & Startups

pgDash VS CGPulse

Compare pgDash VS CGPulse and see what are their differences

pgDash logo pgDash

pgDash is a comprehensive monitoring solution designed specifically for PostgreSQL deployments. pgDash shows you information and metrics about every aspect of your PostgreSQL database server, collected using the open-source tool pgmetrics.

CGPulse logo CGPulse

Scan Azure and AWS resources against 621 policy rules. Auto-remediate findings, track compliance frameworks, integrate via API.
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  • pgDash Landing page
    Landing page //
    2022-04-26
  • CGPulse
    Image date //
    2026-04-24
  • CGPulse
    Image date //
    2026-04-24
  • CGPulse
    Image date //
    2026-04-24
  • CGPulse
    Image date //
    2026-04-24

CGPulse is a multi-cloud governance platform for DevOps, security, and compliance teams managing Azure and AWS environments. It was built for the gap between enterprise CSPM platforms priced in five figures per year and free open-source scanners that leave you without workflow, ownership, or remediation tooling.

The platform continuously scans cloud resources against 621 policy rules - 305 Azure, 175 AWS, 16 cross-cloud, and 95+ organizational controls - mapped to 19 compliance frameworks: SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, NIST 800-53, CIS v8, CIS AWS v3, FedRAMP, NIST CSF, and ten more. Findings are surfaced with evidence trails, severity, and actionable remediation copy.

Key capabilities:

  • One-click auto-remediation for supported Azure and AWS misconfigurations
  • Infrastructure-as-code export: Terraform and Bicep templates generated from findings
  • Scheduled scans: daily, weekly, monthly, or hourly on Business tier
  • REST API with 26 endpoints for CI/CD pipeline integration
  • Model Context Protocol (MCP) server for AI assistants - Claude Code, Copilot, and any MCP client can run scans, read results, and trigger fixes
  • Role-based access control: Owner, Admin, Contributor, Viewer
  • PDF compliance reports for audit evidence
  • External database sync to push scan snapshots into customer-owned Cosmos DB
  • Custom rule authoring via YAML editor

Pricing starts free for a single Azure plus single AWS account; paid Team is โ‚ฌ99/month and Business is โ‚ฌ299/month with self-serve Stripe checkout. Onboarding takes about 60 seconds - connect cloud accounts via OIDC and first scan runs immediately.

pgDash

Website
pgdash.io
$ Details
-
Platforms
-
Release Date
-

CGPulse

$ Details
freemium โ‚ฌ99.0 / Monthly
Platforms
Azure AWS
Release Date
2026 April
Startup details
Country
Estonia
Employees
1 - 9

pgDash features and specs

  • Real-time Monitoring
    pgDash provides real-time monitoring of PostgreSQL databases, allowing users to track performance metrics and identify issues as they occur.
  • Comprehensive Metrics
    The platform offers a wide range of metrics covering various aspects of PostgreSQL performance, such as query performance, indexing, and cache utilization.
  • User-friendly Interface
    pgDash offers an intuitive and easy-to-navigate interface that helps users of all experience levels to monitor and manage their PostgreSQL databases efficiently.
  • Alerting System
    The tool includes an alerting system that notifies users of potential issues or threshold breaches, enabling proactive database management.
  • Customizable Dashboards
    Users can create and customize dashboards to fit their specific monitoring needs, allowing for a personalized approach to database management.

Possible disadvantages of pgDash

  • Limited to PostgreSQL
    pgDash focuses exclusively on PostgreSQL, which might be a limitation for organizations using multiple types of databases.
  • Cost
    While pgDash provides robust features, there is a cost associated with its use, which might be a consideration for small organizations or individual developers.
  • Learning Curve
    Though the interface is user-friendly, there might be a learning curve for users who are completely new to database monitoring tools.
  • Dependence on External Tool
    Relying on a third-party tool means that users must depend on pgDash's reliability and ongoing support for continuous database monitoring.
  • Integration
    Integrating pgDash with other systems or tools within an organization's IT ecosystem might require additional effort or customization.

CGPulse features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to pgDash and CGPulse)
Postgres Tools
100 100%
0% 0
Cyber Security
0 0%
100% 100
Postgres
100 100%
0% 0
Cloud Services
0 0%
100% 100

Questions & Answers

As answered by people managing pgDash and CGPulse.

What makes your product unique?

CGPulse's answer:

Three things. First, an MCP server. Claude or any MCP client can run compliance scans, read findings, and trigger auto-remediation through natural language. No other CSPM ships this. Second, public self-serve pricing (โ‚ฌ99/โ‚ฌ299/month, Stripe checkout, no demo required) in a category where the norm is six-figure enterprise contracts. Third, every finding ships with Terraform and Bicep templates so teams apply fixes through their own change management, not a vendor UI.

Why should a person choose your product over its competitors?

CGPulse's answer:

Price and speed to value. Wiz, Prisma Cloud, Orca typically start at $50k/year with six-week rollouts and sales gatekeepers. CGPulse is โ‚ฌ99 to โ‚ฌ299 per month with public pricing and a 60-second self-serve onboarding. You get 621 policy rules across 19 compliance frameworks (SOC 2, ISO 27001, HIPAA, PCI DSS, CIS v8), the same category coverage, without enterprise overhead. For teams preparing their first audit, that's the difference between starting this quarter or next year.

How would you describe the primary audience of your product?

CGPulse's answer:

Small and mid-size DevOps and platform teams, typically 10 to 200 people, running production workloads on Azure and AWS. Often they're preparing for their first SOC 2 or ISO 27001 audit, or their first customer security review. Many have tried open-source scanners (Prowler, ScoutSuite) and found the detection useful but the workflow missing. Others have been quoted by enterprise CSPM and found it outside their budget. CGPulse is built for the gap between those two.

Which are the primary technologies used for building your product?

CGPulse's answer:

.NET 10 with Blazor Server for the portal. Azure Cosmos DB for tenant and scan data, Azure App Service plus Azure Functions for the backend, Azure Service Bus for scan orchestration. Cloud scanning uses the Azure ARM SDK and AWS SDK directly. No agents, no proxies. Stripe for subscription billing. MCP server built on the ModelContextProtocol.AspNetCore library. Hosted entirely in Azure North Europe with per-tenant Cosmos partition keys.

What's the story behind your product?

CGPulse's answer:

It started a year ago with a simple wish: one clear view of what was actually running across my Azure and AWS accounts. Not console-hopping, a real map. Once the map was working, the obvious next layer was security. Not "here's a VM" but "here's a VM and here's what's wrong with it".

What I kept wishing for was honest answers with honest fixes. Not a red light on a dashboard, but guidance you can act on. Real automation where it's safe, and clear "do this, then this" steps where it isn't.

So a small scanner became a rule engine. Rules became compliance frameworks. Findings grew actual Terraform, Bicep, and CLI you can run. Then AWS support landed on top.

CGPulse today is a multi-cloud governance platform built around three promises: Connect, Govern, Protect. Connect your Azure and AWS accounts and see every resource in one view. Govern with 621 policy rules across 19 compliance frameworks. Protect with auto-remediation where it's safe and IaC export where the change needs human review.

User comments

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Social recommendations and mentions

Based on our record, pgDash seems to be more popular. It has been mentiond 3 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.

pgDash mentions (3)

  • PostgresBench: A Reproducible Benchmark for Postgres Services
    This is a great initiative. Benchmarking managed services is notoriously tricky due to varying configurations and 'black-box' optimizations. For anyone looking to run these benchmarks on their own or wanting to dive deeper into the why behind the numbers, pgmetrics (https://pgmetrics.io) is a fantastic open-source tool. It collects a massive amount of internal PG stats into a structured JSON format, making... - Source: Hacker News / 3 months ago
  • High memory usage in Postgres is good
    Great write-upโ€”the distinction between healthy OS caching and actual memory pressure is often misunderstood. To get a granular view of where your memory is actually going (shared buffers, cache hits, etc.) without the overhead of heavy agents, pgmetrics (https://pgmetrics.io) is very effective. If you need to track these metrics over time to catch when 'good' caching turns into 'bad' pressure, pgDash... - Source: Hacker News / 4 months ago
  • Top ๐Ÿ˜๐Ÿ‘€ Postgres Monitoring Tools ๐Ÿงฐ and Best Practices in 2024 ๐Ÿ”
    PgDash has a similar feature set and pricing point to pganalyze. Pgdash looks less polished. On the other hand, pgDash offers self-hosted option for all plans, whereas pganalyze only offers self-hosted option for the Enterprise plan. - Source: dev.to / over 1 year ago

CGPulse mentions (0)

We have not tracked any mentions of CGPulse yet. Tracking of CGPulse recommendations started around Apr 2026.

What are some alternatives?

When comparing pgDash and CGPulse, you can also consider the following products

pganalyze - PostgreSQL performance monitoring installed within minutes

Wiz - The leading cloud infrastructure security platform that enables organizations to rapidly identify and remove the most pressing risks in the cloud.

PgHero - Rails database insights made easy. Add the gem, get a dashboard with long running queries, cache hit rate, and more.

Lacework - Lacework is a highly trusted platform that provides security for Cloud Environments, DevOps, and Containers.

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

Aqua Security - Aqua Security provides a security solution for virtual containers.