Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In QDeFuZZiner software, the fundamental unit is referred to as a project, which encompasses the definitions of two source datasets for import and analysis, known as the "left dataset" and "right dataset." Each project not only includes these datasets but also a variable number of solutions that detail the methodology for conducting fuzzy match analysis. Upon creation, every project is assigned a distinct project tag, which is subsequently appended to the names of the corresponding input tables during the raw data import process. This tagging system guarantees that the imported tables maintain uniqueness through association with their respective project names. Furthermore, during the import phase and later when generating and executing solutions, QDeFuZZiner establishes various indexes on the PostgreSQL database, thereby enhancing the efficiency of fuzzy data matching procedures. The datasets themselves can be sourced from spreadsheet formats such as .xlsx, .xls, .ods, or from CSV (comma separated values) flat files, which are uploaded to the server database, leading to the creation, indexing, and processing of the associated left and right database tables. This structured approach not only simplifies data management but also streamlines the analysis process, making it easier for users to derive insights from their datasets.
Description
pganalyze is a Postgres performance optimization product for engineering teams. It captures query performance, wait events, and other critical data, finds the root cause of slow queries, bad indexes, and table bloat in minutes, and lets you investigate safely with AI tools such as Claude Code through the pganalyze MCP Server. More than 700 teams, including Notion, Auto Trader UK, and Fivetran, use pganalyze.
With pganalyze, teams:
✓ Find and fix slow queries before customers notice
✓ Ship index and plan changes with confidence
✓ Keep autovacuum running smoothly
✓ Spend on tuning, not bigger instances
✓ Make every engineer and AI agent a Postgres expert
✓ Meet security and compliance standards
The Index Advisor, Query Advisor, and VACUUM Advisor recommend indexes, query rewrites, and autovacuum settings, and pganalyze Workbooks let you test and validate a fix before you ship. The pganalyze collector filters PII on your own infrastructure before anything leaves, and sign-in supports SAML SSO.
pganalyze works with Amazon RDS and Aurora, Google Cloud SQL and AlloyDB, Azure Database for PostgreSQL, Heroku, Crunchy Bridge, Aiven, Supabase, Neon, and self-managed Postgres, including Kubernetes. Use it as a cloud service, or self-host with pganalyze Enterprise Server.
API Access
Has API
No
API Access
Has API
Yes
Integrations
PostgreSQL
Yes
Active Directory
No
Amazon Web Services (AWS)
No
Claude Code
No
Cursor
No
Datadog
No
Docker
No
Google Cloud Platform
No
Heroku
No
Honeycomb
No
Integrations
PostgreSQL
Yes
Active Directory
Yes
Amazon Web Services (AWS)
Yes
Claude Code
Yes
Cursor
Yes
Datadog
Yes
Docker
Yes
Google Cloud Platform
Yes
Heroku
Yes
Honeycomb
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$149 per month
Free Trial
Yes
Free Version
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
Deployment
Web-Based
Yes
On-Premises
Yes
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
No
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
QDeFuZZiner
Website
zmatasoft.wixsite.com/qdefuzziner/qdefuzziner-software-features
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