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Average Ratings 0 Ratings

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ease
features
design
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

Datafi offers a comprehensive data platform tailored for business teams, effectively merging fragmented data systems while ensuring robust data security. It also facilitates self-service data workflows, allowing business users to effortlessly locate, utilize, and share essential information. Organizations choose Datafi to enhance their data capabilities, empowering a broader range of individuals to make quick and informed decisions based on data. With Datafi, accessing any data becomes straightforward and valuable for all users. It provides clarity on data access and utilization, which is crucial for organizations aiming to harness their data for impactful business results. Data-forward companies recognize that simplifying and securing data access is foundational for unlocking new business potentials. By fostering innovative applications of business data, companies can generate transformative outcomes, and those that prioritize enhancing data literacy are more likely to uncover insights that lead to improved services for their clients. In embracing a culture that values data, organizations set the stage for continual growth and advancement.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift Yes 
Amazon Web Services (AWS) Yes 
AWS Glue Yes 
AWS Lake Formation Yes 
Amazon Aurora No 
Amazon S3 No 
Amazon SageMaker Unified Studio Yes 
Apache Synapse No 
Databricks No 
Google Cloud Platform No 
Jupyter Notebook No 
MariaDB No 
Microsoft Azure No 
Microsoft Dynamics 365 No 
MongoDB No 
NetSuite No 
Oracle Cloud Infrastructure No 
PostgreSQL No 
Salesforce No 
Snowflake No 

Integrations

Amazon Redshift Yes 
Amazon Web Services (AWS) Yes 
AWS Glue No 
AWS Lake Formation No 
Amazon Aurora Yes 
Amazon S3 Yes 
Amazon SageMaker Unified Studio No 
Apache Synapse Yes 
Databricks Yes 
Google Cloud Platform Yes 
Jupyter Notebook Yes 
MariaDB Yes 
Microsoft Azure Yes 
Microsoft Dynamics 365 Yes 
MongoDB Yes 
NetSuite Yes 
Oracle Cloud Infrastructure Yes 
PostgreSQL Yes 
Salesforce Yes 
Snowflake Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.005 per query
Free Trial No 
Free Version Yes 

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 Yes 
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 No 
Live Rep (24/7) Yes 
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 No 
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

Datafi

Country

United States

Website

datafi.us

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 Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

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