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Average Ratings 0 Ratings
Description
AWS Service Catalog enables organizations to create and oversee a catalog of IT services that have received approval for utilization on AWS. This range of IT services encompasses various elements such as virtual machine images, servers, software, databases, and even intricate multi-tier application setups. By using AWS Service Catalog, you can effectively manage the IT services and applications that have been deployed, along with their associated resources and metadata. This capability plays a crucial role in ensuring consistent governance and fulfilling compliance requirements, all while empowering users to swiftly deploy only the sanctioned IT services they require. Furthermore, with the introduction of AWS Service Catalog AppRegistry, organizations gain insights into the application context of their AWS resources. You can establish and oversee your applications along with their metadata, facilitating the monitoring of costs, performance, security, compliance, and operational status at the application level. Additionally, AWS Service Catalog AppRegistry serves as a centralized hub for the aggregation and management of your application resources within the AWS ecosystem. This comprehensive approach not only streamlines resource management but also enhances organizational efficiency and governance.
Description
Safyr® significantly minimizes the time, expenses, and resources associated with discovering ERP metadata, achieving an impressive reduction of up to 90%. Before effectively utilizing metadata from prominent ERP and CRM solutions like SAP, Salesforce, Oracle, and Microsoft, users face three key obstacles that must be surmounted. Failing to address these challenges swiftly can lead to delays, increased costs, failures in delivery, and in severe situations, the cancellation of projects altogether. Once the necessary metadata is pinpointed for your initiative, it becomes crucial to leverage it for setting up additional environments, which may include data cataloging, governance platforms, enterprise metadata management, data warehouses, ETL processes, or data modeling tools. The primary goal of developing Safyr® was to empower users to significantly accelerate the value they derive from their projects, which incorporate data from major ERP and CRM systems, by providing efficient and cost-effective solutions to these challenges. By streamlining the metadata discovery process, Safyr® ensures that organizations can focus more on their core objectives rather than getting bogged down by technical issues.
API Access
Has API
API Access
Has API
Integrations
AWS Budgets
AffiliateWP
Collibra
Data360 DQ+
ER/Studio Enterprise Edition
IBM Cloud
IDERA Precise for Databases
Informatica Cloud Application Integration
Microsoft 365
Microsoft Dynamics 365
Integrations
AWS Budgets
AffiliateWP
Collibra
Data360 DQ+
ER/Studio Enterprise Edition
IBM Cloud
IDERA Precise for Databases
Informatica Cloud Application Integration
Microsoft 365
Microsoft Dynamics 365
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/servicecatalog/
Vendor Details
Company Name
Silwood
Founded
1992
Country
United Kingdom
Website
www.silwoodtechnology.com/safyr/
Product Features
IT Management
Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics