Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
dbForge Index Manager for SQL Server is a user-friendly tool designed to help database specialists detect and resolve index fragmentation issues. It gathers index fragmentation statistics, displays detailed information in a visual interface, identifies indexes in need of maintenance, and provides recommendations for addressing these issues.
Key Features:
- Detailed information about all database indexes
- Customizable thresholds for rebuilding and reorganizing indexes
- Automatic resolving index fragmentation issues
- Generation of scripts for index rebuilding and reorganization with options to save and reuse them
- Exporting index analysis results as detailed reports
- Scanning multiple databases for fragmented indexes
- Efficient index analysis with sorting and searching through
- Task automation for regular index analysis and defragmentation via the command-line interface
dbForge Index Manager integrates seamlessly into Microsoft SQL Server Management Studio (SSMS), allowing users to quickly master its functionality and incorporate it into their workflows.
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
AccessOwl
No
Active Directory
No
Amazon Web Services (AWS)
No
Docker
No
Google Apps Script
No
Google Cloud Platform
No
LDAP Admin Tool
No
Microsoft Azure
No
Okta
No
PostgreSQL
No
Integrations
AccessOwl
Yes
Active Directory
Yes
Amazon Web Services (AWS)
Yes
Docker
Yes
Google Apps Script
Yes
Google Cloud Platform
Yes
LDAP Admin Tool
Yes
Microsoft Azure
Yes
Okta
Yes
PostgreSQL
Yes
Pricing Details
$129.95
Free Trial
Yes
Free Version
No
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
No
Linux
No
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
Yes
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Devart
Founded
1997
Country
United States of America
Website
www.devart.com
Vendor Details
Company Name
pganalyze
Founded
2012
Country
United States
Website
pganalyze.com
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
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