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What is regon?

Litex.regon offers an intuitive interface for accessing the Polish REGON database through a simple Python wrapper. To make use of its SOAP API, users must acquire a user key from REGON's administrators. The REGONAPI requires a single argument: the service URL provided by the administrators. After logging in, users can run queries against the database, which can include a 9 or 14-digit REGON number, a 10-digit KRS number, or a 10-digit NIP. Additionally, users have the option to query collections of REGONs, KRSs, or NIPs, ensuring that all entries meet the specified length criteria. The API processes only one parameter at a time, prioritizing the first argument submitted from the available options. Users can also request a more detailed report by including the detailed=True parameter, prompting the method to provide a comprehensive report by default. If users know the REGON of a business and the name of the detailed report, they can directly access the complete report, thus improving the ease of obtaining information from the database. This functionality makes litex.regon a crucial resource for individuals seeking in-depth knowledge about Polish business entities, significantly enhancing the efficiency of their research efforts.

What is pganalyze?

To maintain dependable database performance and availability, it is essential to employ intelligent tuning advisors in conjunction with continuous database profiling. By thoroughly reviewing detailed statistics for each query, you can uncover meaningful insights into their historical performance, which enables you to effectively pinpoint and rectify slow queries. The system is capable of automatically collecting execution plans and offering comprehensive analyses derived from the data harvested from your database's query plans. This allows for a clearer understanding of the elements that contribute to a query's delay, along with recommendations for enhancing its execution speed. Additionally, you can monitor the performance decline of specific queries over time by evaluating metrics such as I/O compared to CPU time, as well as the buffer cache hit ratio associated with each query. The database can also recognize missing indexes and propose both single and multi-column indexes that could significantly improve query performance across your systems. Furthermore, detailed advice on auto vacuum settings tailored to individual tables aids in managing table bloat, optimizing freezing, and boosting VACUUM efficiency alongside other performance factors. Ultimately, you can uncover customized configuration options specifically designed for your database workload, ensuring that your Postgres environments deliver consistent and reliable performance. By adopting these methodologies, you will be poised to guarantee that your database consistently operates at optimal levels of efficiency. Regularly revisiting and refining these strategies can further enhance overall database health and responsiveness.

Media

Media

Integrations Supported

Active Directory
Amazon Web Services (AWS)
Docker
Google Apps Script
Google Cloud Platform
LDAP Admin Tool
Microsoft Azure
Okta
PostgreSQL
TierZero

Integrations Supported

Active Directory
Amazon Web Services (AWS)
Docker
Google Apps Script
Google Cloud Platform
LDAP Admin Tool
Microsoft Azure
Okta
PostgreSQL
TierZero

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$149 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

regon

Company Location

Poland

Company Website

github.com/mwegrzynek/litex.regon

Company Facts

Organization Name

pganalyze

Date Founded

2012

Company Location

United States

Company Website

pganalyze.com

Categories and Features

Categories and Features

Database Monitoring

Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting

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