Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Monitor and diagnose database wait states and transaction details. SQL Server's performance and the business-critical applications it supports can be severely affected by problematic SQL queries. The SQL Workload Analysis addon allows you to continuously monitor and analyze server load. It also provides a simple user interface that focuses only on application performance and wait states. You can also troubleshoot SQL code changes to database applications. Continuous SQL sampling intervals allow you to perform real-time analysis. Instantly see where databases are spending their time. Quickly identify slow SQL statements and drill down to get actionable advice. Investigate historical query plan trends. Automated recommendations can be used to improve query performance.
Description
Waiting is a compact library designed to facilitate the process of waiting for specific conditions to be met. It fundamentally pauses execution until a designated function returns True, offering various operational modes. Additionally, Waiting is designed to work seamlessly with flux for simulating timelines. The simplest way to utilize it is by providing a function to monitor. It’s straightforward to wait indefinitely; if your predicate yields a value, that value will be returned as the output of wait(). You can also set a timeout, and if this period lapses without the predicate being satisfied, an exception will occur. The library polls the predicate at a default interval of one second, which can be adjusted using the sleep_seconds parameter. When dealing with multiple predicates, Waiting offers two efficient methods for aggregation: any and all. These methods are similar to Python's built-in any() and all(), but they ensure that a predicate is not invoked more than necessary, which is particularly beneficial when working with predicates that are resource-intensive and time-consuming. By streamlining these functions, Waiting enhances both the efficiency and user experience of handling asynchronous operations.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon EC2
Yes
Azure Virtual Machines
Yes
Flux
No
Python
No
SQL Server
Yes
Integrations
Amazon EC2
No
Azure Virtual Machines
No
Flux
Yes
Python
Yes
SQL Server
No
Pricing Details
$400 per instance
USD 400 per instance with first year maintenance included; add-on to SQL Diagnostic Manager for SQL Server, together with SQL Query Tuner
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IDERA, an Idera, Inc. company
Founded
2004
Country
United States of America
Website
www.idera.com/productssolutions/sqlserver/sql-workload-analysis
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/waiting/
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
Yes
NOSQL
No
Performance Analysis
Yes
Queries
Yes
Relational Interface
No
Virtualization
No
Database Monitoring
Anomaly Detection
Yes
Autodiscovery
No
Capacity Planning
Yes
Dashboard
Yes
Dependency Tracking
No
Historical Trend Analysis
Yes
Multitenancy
No
Notifications / Alerts
Yes
Performance Monitoring
Yes
Permissions / Access Controls
No
Predictive Analytics
No
Prioritization
No
Query Analysis
Yes
Resource Optimization
Yes
Troubleshooting
Yes
SQL Server
CPU Monitoring
Yes
Credential Management
No
Database Servers
No
Deployment Testing
No
Docker Compatible Containers
No
Event Logs
No
History Tracking
Yes
Patch Management
No
Scheduling
No
Supports Database Clones
No
User Activity Monitoring
Yes
Virtual Machine Monitoring
No