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support

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Write a Review

Description

Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Glue Yes 
AffiliateWP No 
Alation No 
Amazon Athena Yes 
Amazon Redshift Yes 
Amazon SageMaker Unified Studio Yes 
Amazon Web Services (AWS) Yes 
ER/Studio Enterprise Edition No 
IDERA Precise for Databases No 
Informatica Cloud Application Integration No 
JD Edwards EnterpriseOne No 
Microsoft 365 No 
Microsoft Dynamics 365 No 
Microsoft Dynamics 365 Business Central No 
Microsoft Dynamics 365 Finance No 
Oracle PeopleSoft No 
Rocket Data Intelligence No 
SAP Store No 
Salesforce No 
Solidatus No 

Integrations

AWS Glue No 
AffiliateWP Yes 
Alation Yes 
Amazon Athena No 
Amazon Redshift No 
Amazon SageMaker Unified Studio No 
Amazon Web Services (AWS) No 
ER/Studio Enterprise Edition Yes 
IDERA Precise for Databases Yes 
Informatica Cloud Application Integration Yes 
JD Edwards EnterpriseOne Yes 
Microsoft 365 Yes 
Microsoft Dynamics 365 Yes 
Microsoft Dynamics 365 Business Central Yes 
Microsoft Dynamics 365 Finance Yes 
Oracle PeopleSoft Yes 
Rocket Data Intelligence Yes 
SAP Store Yes 
Salesforce Yes 
Solidatus Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
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) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1998

Country

United States

Website

aws.amazon.com/datazone/

Vendor Details

Company Name

Silwood

Founded

1992

Country

United Kingdom

Website

www.silwoodtechnology.com/safyr/

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Data Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Alternatives

Alternatives

Catalog Reviews

Catalog

Coalesce