Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Postbird serves as a versatile PostgreSQL GUI client that is compatible across various platforms and is developed using JavaScript with the Electron framework. It offers support for essential features such as views, materialized views, foreign tables, constraints, and schemas, and has the capability to connect seamlessly to Heroku's Postgres. Users can efficiently manage extensions, procedures, and user accounts, as well as filter tables, modify values, and handle the importing and exporting of tables or entire databases. The application enhances the query editing experience with the ability to save recent queries, utilize syntax highlighting, access keyboard shortcuts, conduct searches, use snippets, maintain query history, and view large result sets effectively. Additionally, it provides options for formatted explanations of queries and allows users to save their results in CSV format, making it a comprehensive tool for database management tasks. Ultimately, Postbird empowers users with a rich set of functionalities designed to streamline their PostgreSQL interactions.
Description
Ensure reliable database performance and uptime by utilizing smart tuning advisors alongside ongoing database profiling. Examine comprehensive statistics for individual queries and gain valuable insights into their performance history, allowing you to identify and address slow queries effectively. Automatically gather execution plans and receive in-depth analyses based on the data collected from your database's query plans. Gain a clear understanding of the factors contributing to a query's sluggishness and obtain suggestions for optimizing its execution speed. Track performance degradation for specific queries over time, analyzing metrics such as I/O versus CPU time and the buffer cache hit ratio for each query. The system can also automatically identify absent indexes and suggest both single and multi-column indexes that can enhance query performance throughout your databases. Detailed recommendations for auto vacuum settings on a per-table basis help manage table bloat, optimize freezing, and improve VACUUM efficiency among other performance aspects. Ultimately, discover tailored configuration options designed specifically for your database workload that facilitate consistent and reliable performance in Postgres environments. By implementing these strategies, you can ensure that your database operates at its peak efficiency.
API Access
Has API
No
API Access
Has API
No
Integrations
PostgreSQL
Yes
AccessOwl
No
Active Directory
No
Amazon Web Services (AWS)
No
Docker
No
Electron
Yes
Google Apps Script
No
Google Cloud Platform
No
Heroku
Yes
JavaScript
Yes
Integrations
PostgreSQL
Yes
AccessOwl
Yes
Active Directory
Yes
Amazon Web Services (AWS)
Yes
Docker
Yes
Electron
No
Google Apps Script
Yes
Google Cloud Platform
Yes
Heroku
No
JavaScript
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$149 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Paxa
Website
github.com/Paxa/postbird
Vendor Details
Company Name
pganalyze
Founded
2012
Country
United States
Website
pganalyze.com
Product Features
Product Features
Database Monitoring
Anomaly Detection
No
Autodiscovery
No
Capacity Planning
No
Dashboard
No
Dependency Tracking
No
Historical Trend Analysis
No
Multitenancy
No
Notifications / Alerts
No
Performance Monitoring
No
Permissions / Access Controls
No
Predictive Analytics
No
Prioritization
No
Query Analysis
No
Resource Optimization
No
Troubleshooting
No