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What is Fraxses?

A wide array of products exists to support businesses in achieving their objectives, but for organizations aiming to cultivate a data-driven culture while optimizing efficiency and reducing expenses, Fraxses stands out as the premier distributed data platform globally. With Fraxses, clients gain instant access to data, unlocking valuable insights through a solution that can implement either a data mesh or a data fabric architecture. Visualize a data mesh as a framework that interconnects diverse data sources, enabling them to function seamlessly as one integrated entity. Unlike other platforms that primarily focus on data integration and virtualization, Fraxses offers a decentralized architecture that distinguishes it from competitors. While Fraxses effectively supports traditional data integration techniques, the trend is shifting toward an innovative model where data is delivered directly to users, thereby negating the need for a centralized data lake or platform. This forward-thinking approach not only empowers users with greater autonomy but also enhances the ease of data access throughout the organization, fostering a more agile and responsive data environment. As businesses continue to evolve, embracing such innovative solutions becomes crucial for maintaining a competitive edge in the market.

What is AWS Glue?

AWS Glue is a fully managed, serverless solution tailored for data integration, facilitating the easy discovery, preparation, and merging of data for a variety of applications, including analytics, machine learning, and software development. The service incorporates all essential functionalities for effective data integration, allowing users to conduct data analysis and utilize insights in a matter of minutes, significantly reducing the timeline from months to mere moments. The data integration workflow comprises several stages, such as identifying and extracting data from multiple sources, followed by the processes of enhancing, cleaning, normalizing, and merging the data before it is systematically organized in databases, data warehouses, and data lakes. Various users, each with their specific tools, typically oversee these distinct responsibilities, ensuring a comprehensive approach to data management. By operating within a serverless framework, AWS Glue removes the burden of infrastructure management from its users, as it automatically provisions, configures, and scales the necessary resources for executing data integration tasks. This feature allows organizations to concentrate on gleaning insights from their data instead of grappling with operational challenges. In addition to streamlining data workflows, AWS Glue also fosters collaboration and productivity among teams, enabling businesses to respond swiftly to changing data needs. The overall efficiency gained through this service positions companies to thrive in today’s data-driven environment.

Media

Media

Integrations Supported

Microsoft Excel

Integrations Supported

AWS Marketplace
Alex Solutions
Amazon RDS
Amazon Redshift
Amazon SageMaker Studio
Causal
Feroot
OLake Go
OpenAccess SDK
Progress DataDirect
SDF
Saagie
Secoda
Select Star
Stonebranch
Tokern
Unity Catalog
Wavo
kPow

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Intenda

Date Founded

2001

Company Location

South Africa

Company Website

intenda.tech/fraxses/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/glue/

Categories and Features

Data Fabric

Not specified

Data Integration

Not specified

Data Virtualization

Not specified

Categories and Features

Data Catalog

Not specified

Data Discovery

Not specified

Data Integration

Not specified

Data Preparation

Not specified

Data Virtualization

Not specified

ETL

Data Analysis
Data Filtering
Data Quality Control
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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