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What is SAS Federation Server?

Create federated identifiers for source data to enable users to effortlessly connect to diverse data sources. Implement a web-based administrative interface to facilitate the management of user permissions, access levels, and authorizations for improved oversight. Integrate enhancements for data quality, such as generating match-codes and implementing parsing functions, to guarantee data integrity. Boost overall performance by utilizing in-memory caching and effective scheduling techniques. Safeguard sensitive data through advanced masking and encryption strategies. This methodology ensures that application queries remain current and accessible to users while reducing the load on operational systems. You can configure access rights at various levels—catalog, schema, table, column, and row—providing customized security solutions. The sophisticated features for data masking and encryption not only control visibility but also dictate the specific elements of data that users can view, significantly minimizing the likelihood of sensitive information breaches. In conclusion, these integrated functionalities work in harmony to cultivate a secure and highly efficient data management framework that caters to the needs of users while maintaining stringent security standards.

What is Dremio?

Dremio offers rapid query capabilities along with a self-service semantic layer that interacts directly with your data lake storage, eliminating the need to transfer data into exclusive data warehouses, and avoiding the use of cubes, aggregation tables, or extracts. This empowers data architects with both flexibility and control while providing data consumers with a self-service experience. By leveraging technologies such as Apache Arrow, Data Reflections, Columnar Cloud Cache (C3), and Predictive Pipelining, Dremio simplifies the process of querying data stored in your lake. An abstraction layer facilitates the application of security and business context by IT, enabling analysts and data scientists to access and explore data freely, thus allowing for the creation of new virtual datasets. Additionally, Dremio's semantic layer acts as an integrated, searchable catalog that indexes all metadata, making it easier for business users to interpret their data effectively. This semantic layer comprises virtual datasets and spaces that are both indexed and searchable, ensuring a seamless experience for users looking to derive insights from their data. Overall, Dremio not only streamlines data access but also enhances collaboration among various stakeholders within an organization.

Media

Media

Integrations Supported

Apache Hive
IBM Netezza Performance Server
SAP HANA

Integrations Supported

AccessOwl
Apache Superset
Azure Marketplace
Codd AI
DashboardFox
Emgage
HPE Ezmeral
Looker
Microsoft Power Query
Okera
Preset
Protegrity
PuppyGraph
Tableau
Yurbi
data.world
witboost

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

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

Company Facts

Organization Name

Dremio

Date Founded

2015

Company Location

United States

Company Website

www.dremio.com

Categories and Features

Data Virtualization

Not specified

Categories and Features

Big Data

Not specified

Data Engineering

Not specified

Data Lake

Not specified

Data Lineage

Not specified

Data Virtualization

Not specified

Data Warehouse

Not specified

Query Engines

Not specified

Semantic Layer

Not specified

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