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PostgREST VS pgDash

Compare PostgREST VS pgDash and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

PostgREST logo PostgREST

Automatic REST API for Any Postgres Database

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.
  • PostgREST Landing page
    Landing page //
    2022-11-07
  • pgDash Landing page
    Landing page //
    2022-04-26

PostgREST features and specs

No features have been listed yet.

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.

PostgREST videos

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[Part 2] Building a Contacts List with PostgREST and Vue.js: The Vue.js App

pgDash videos

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

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Category Popularity

0-100% (relative to PostgREST and pgDash)

PostgREST

pgDash

Developer Tools
100 100%
Developer Tools
0% 0
Postgres Tools
0 0%
Postgres Tools
100% 100
API Tools
100 100%
API Tools
0% 0
Postgres
0 0%
Postgres
100% 100

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.

PostgREST mentions (0)

We have not tracked any mentions of PostgREST yet. Tracking of PostgREST recommendations started around Mar 2021.

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 / 3 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

What are some alternatives?

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

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

pganalyze - PostgreSQL performance monitoring installed within minutes

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

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

OData - OData, short for Open Data Protocol, is an open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way.

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

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