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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
Varada offers a cutting-edge big data indexing solution that adeptly balances performance and cost while eliminating the need for data operations. This distinct technology acts as an intelligent acceleration layer within your data lake, which remains the central source of truth and operates within the customer's cloud infrastructure (VPC). By empowering data teams to operationalize their entire data lake, Varada facilitates data democratization while ensuring fast, interactive performance, all without requiring data relocation, modeling, or manual optimization. The key advantage lies in Varada's capability to automatically and dynamically index pertinent data, maintaining the structure and granularity of the original source. Additionally, Varada ensures that any query can keep pace with the constantly changing performance and concurrency demands of users and analytics APIs, while also maintaining predictable cost management. The platform intelligently determines which queries to accelerate and which datasets to index, while also flexibly adjusting the cluster to match demand, thereby optimizing both performance and expenses. This holistic approach to data management not only enhances operational efficiency but also allows organizations to remain agile in an ever-evolving data landscape.
API Access
Has API
API Access
Has API
Integrations
Apache Hive
AWS Glue
Amazon S3
Apache Cassandra
Azure Storage
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Impala
Kubernetes
Integrations
Apache Hive
AWS Glue
Amazon S3
Apache Cassandra
Azure Storage
Google Cloud Platform
Hadoop
IBM Netezza Performance Server
Impala
Kubernetes
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Varada
Founded
2017
Country
Israel
Website
varada.io/platform/
Product Features
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge