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Average Ratings 0 Ratings
Description
AWS Data Exchange is a service designed to streamline the process of discovering, subscribing to, and utilizing third-party data within the cloud environment. It features an extensive catalog comprising over 3,500 data sets sourced from more than 300 different data providers, which include a variety of formats such as data files, tables, and APIs. This platform allows users to efficiently manage data procurement and governance by centralizing all third-party data subscriptions in one location while also providing the option to transfer existing subscriptions without incurring additional fees. Furthermore, AWS Data Exchange guarantees secure and compliant data usage by integrating with AWS Identity and Access Management (IAM) and offering data encryption both at rest and during transmission. Users can easily incorporate the subscribed data into their AWS ecosystem, enhancing their capabilities for analytics and machine learning projects. The service accommodates multiple data delivery methods, including direct access to data stored in Amazon S3 buckets managed by data providers, enabling subscribers to leverage these files with AWS solutions such as Amazon Athena and Amazon EMR. This comprehensive approach ensures that organizations can harness the power of third-party data while maintaining control and security throughout the process.
Description
Effortlessly create, edit, and manage your data models without the hassle of needing another tool by using Weld. This platform is equipped with an array of features designed to streamline your data modeling process, including intelligent autocomplete, code folding, error highlighting, audit logs, version control, and collaboration capabilities. Moreover, it utilizes the same text editor as VS Code, ensuring a fast, efficient, and visually appealing experience. Your queries are neatly organized in a library that is not only easily searchable but also accessible at any time. The audit logs provide transparency by showing when a query was last modified and by whom. Weld Model allows you to materialize your models in various formats such as tables, incremental tables, views, or tailored materializations that suit your specific design. Furthermore, you can conduct all your data operations within a single, user-friendly platform, supported by a dedicated team of data analysts ready to assist you. This integrated approach simplifies the complexities of data management, making it more efficient and less time-consuming.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon S3
Yes
AWS Identity and Access Management (IAM)
Yes
Alpha Vantage
Yes
Amazon Redshift
No
Amazon Web Services (AWS)
Yes
Google Ads
No
Google Analytics
No
Google Sheets
No
Intercom
No
Meta Ads
No
Integrations
Amazon S3
Yes
AWS Identity and Access Management (IAM)
No
Alpha Vantage
No
Amazon Redshift
Yes
Amazon Web Services (AWS)
No
Google Ads
Yes
Google Analytics
Yes
Google Sheets
Yes
Intercom
Yes
Meta Ads
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
€750 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
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)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/data-exchange/
Vendor Details
Company Name
Weld
Founded
2021
Country
Denmark
Website
weld.app/
Product Features
Product Features
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
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
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No