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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
Conventional AI platforms often save your conversations and utilize your data to enhance their models, which can pose a significant risk for professionals, freelancers, and businesses alike. In contrast, Elosia offers a comprehensive AI workspace that not only provides access to top-tier models but also includes an offline mode, all while ensuring complete privacy for its users.
Highlighted Features:
🔒 Commitment to Privacy:
- Data is stored entirely on your device
- Your information is never transmitted through our servers
- Early access to Zero Data Retention (ZDR) models
- Offline functionality available directly in your browser
💼 Enhanced Productivity:
- Access to the finest AI models consolidated in one platform
- One subscription instead of juggling multiple
- Local embeddings protect your confidential documents
- A cohesive and user-friendly interface
🎯 Full Control:
- You determine which models to utilize
- Clear data retention practices
- No unexpected surprises or hidden data collection
Ideal for:
- Solo professionals seeking privacy
- Teams handling sensitive information
- Organizations focused on regulatory compliance, such as GDPR and others.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Hadoop
IBM watsonx.data integration
MySQL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
20€/month/user
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
Elosia AI
Founded
2025
Country
France
Website
elosia.ai