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Average Ratings 2 Ratings
Description
Azkaban serves as a distributed Workflow Manager developed by LinkedIn to address the complexities of Hadoop job dependencies. There were instances where jobs required a specific order of execution, ranging from ETL processes to data analysis applications. Following the release of version 3.0, Azkaban offers two distinct operational modes: the standalone “solo-server” mode and the distributed multiple-executor mode. The solo-server mode utilizes an embedded H2 database, allowing both the web server and executor server to operate within the same process, making it ideal for initial experimentation or small-scale applications. In contrast, the multiple-executor mode is designed for serious production environments, requiring a MySQL database configured with a master-slave arrangement. Ideally, the web server and executor servers are hosted on separate machines to ensure that system upgrades and maintenance do not disrupt user experience. This configuration not only enhances Azkaban’s robustness but also significantly improves its scalability, making it suitable for larger, more complex workflows. By offering these two modes, Azkaban caters to a wide range of user needs, from casual experimentation to enterprise-level deployments.
Description
SQL Planner: Complete Windows & SQL Server Management & Monitoring Solution (FREE)
✓ Windows Server: Real-time monitoring for CPU, Memory, IIS, Storage, Services, Network, and Event Logs.
✓ SQL Server: Advanced monitoring, automated Audits, and reliable Backups.
✓ Insights: 100+ deep analytical reports to resolve issues and save millions in DBA costs.
Enterprise Database & Infrastructure Management :
01. Performance
Monitor SQL Server
Real-time tracking of performance metrics and query execution to eliminate bottlenecks.
02. Diagnostics
Analyze Database Health
Deep-dive diagnostics and health checks to ensure optimal uptime and system stability.
03. Security
Audit SQL Server
Comprehensive security auditing, user tracking, and simplified compliance reporting.
04. Automation
Backup & Scripting
Reliable automated backup solutions paired with integrated SQL scripting tools.
05. Infrastructure
Windows Server Monitor
Full visibility into IIS, Network, Storage, Services, and Event Logs in one place.
06. Handover
DBA Note Management
Streamlined communication and automated documentation for seamless team handovers.
🌐
Central Management From Any Device
Access your complete control dashboard via any web browser 24/7.
TARGET USERS
👥 Who this Application is for
Individual Service providers / SQL server Hosting Sites / System Admin/ Network Admin/ SQL Server DBA / SQL server Developers / Organizations using several Servers / SQL Server.
API Access
Has API
API Access
Has API
Integrations
Hadoop
IBM watsonx.data integration
MySQL
SQL Server
Windows Server
Integrations
Hadoop
IBM watsonx.data integration
MySQL
SQL Server
Windows Server
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Azkaban
Website
azkaban.github.io
Vendor Details
Company Name
SQL Planner
Founded
2020
Country
India
Website
www.mssqlplanner.com
Product Features
Product Features
Database Backup
Automatic Backup
Backup Locations
Backup Scope Settings
Differential Backup
Filegroup Backup
Full Backup
Incremental Backup
Manual Backup
Multiple Backups
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