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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Establish federated source data identifiers to allow users to connect to various data sources seamlessly. Utilize a web-based administrative console to streamline the management of user access, privileges, and authorizations for easier oversight. Incorporate data quality enhancements such as match-code generation and parsing functions within the view to ensure high-quality data. Enhance performance through the use of in-memory data caches and efficient scheduling methods. Protect sensitive information with robust data masking and encryption techniques. This approach keeps application queries up-to-date and readily accessible to users while alleviating the burden on operational systems. You can set access permissions at multiple levels, including catalog, schema, table, column, and row, allowing for tailored security measures. The advanced capabilities for data masking and encryption provide the ability to control not just who can see your data but also the specific details they can access, thereby significantly reducing the risk of sensitive information being compromised. Ultimately, these features work together to create a secure and efficient data management environment.

Description

data.world is a cloud-native service meticulously designed for contemporary data architectures, ensuring seamless management of updates, migrations, and ongoing maintenance. This streamlined setup process is complemented by a vast and expanding ecosystem of pre-built integrations with all major cloud data warehouses. When prompt results are essential, your team should concentrate on addressing genuine business challenges rather than grappling with cumbersome data management software. data.world simplifies the process for all users, not just data experts, enabling them to obtain clear, precise, and prompt answers to various business inquiries. Our platform features a cloud-based data catalog that connects isolated and distributed data to well-known business concepts, fostering a cohesive knowledge base that everyone can access, comprehend, and utilize. Furthermore, beyond our enterprise solutions, data.world hosts the largest collaborative open data community globally, where individuals collaborate on diverse projects ranging from social bot detection to acclaimed data journalism initiatives, promoting innovation and shared learning. This unique environment encourages knowledge sharing and empowers users to leverage data in creative and impactful ways.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Azure Synapse Analytics
Denodo
Domo
Dropbox
Google Drive
Impala
Jupyter Notebook
KNIME Analytics Platform
Meta Ads
Microsoft Power BI
MySQL
Oracle Cloud Infrastructure
PoolParty
Salesforce
Sisense
Slack
Snowflake Cortex AI
Stardog

Integrations

Amazon Redshift
Azure Synapse Analytics
Denodo
Domo
Dropbox
Google Drive
Impala
Jupyter Notebook
KNIME Analytics Platform
Meta Ads
Microsoft Power BI
MySQL
Oracle Cloud Infrastructure
PoolParty
Salesforce
Sisense
Slack
Snowflake Cortex AI
Stardog

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$12 per month
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

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/federation-server.html

Vendor Details

Company Name

data.world

Country

United States

Website

data.world/resources/product-overview/

Product Features

Product Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Alternatives

Alternatives