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Sesame Software Offers Adaptive Data Management Practices for Todays Data Lakehouse
Relational Junction, Sesame Software's Data Management Platform, serves as the foundation for a low-cost, highly scalable Data Lakehouse
Fremont, CA: Sesame Software is the market leader in Enterprise Data Management, delivering data quickly for improved reporting and analytics. Sesame Software's patented Relational Junction data platform provides a superior system for data warehousing, integration, back-ups, and compliance to meet the needs of the business. Connect to SaaS, on-premises, and cloud applications quickly for faster insights.
Sesame Software, the revolutionary leader in Enterprise Data Management and founder of Relational Junction, released the Lakehouse Platform, which provides simplified data architecture by eliminating the data silos that traditionally separate analytics and data science.
Relational Junction: The Lakehouse Foundation
Relational Junction provides the data lake with dependability, security, and scalability, making it the best data ingest platform for handling massive amounts of data from a wide range of SaaS applications and databases. New data sources could get added with configuration-only deployment using plug-in architecture. The platform's scalable architecture emerges in response to organization-wide data needs, giving users easy access to their data and the freedom to use it as they see fit.
The Relational Junction Lakehouse Platform utilizes a combination of data lakes and data warehouses, delivering data management and performance typically found in data warehouses while leveraging the low-cost, flexible object stores provided by data lakes.
"A streamlined method to access data is difficult to achieve with a separate cloud data warehouse and data lake." - says Rick Banister, founder and CEO of Sesame Software. "A data lakehouse offers the best of both worlds – by replacing data silos with a single home for structured, semi-structured, and unstructured data, Relational Junction provides a solid and scalable Lakehouse foundation."
Relational Junction Key Benefits:
• Provides the necessary governance practices to support all aspects of data workloads
• Hyper-threaded technology provides enormous scale and speed
• Operates on a streamlined architecture, eliminating the problem, redundant systems
• Enables advanced analytics while lowering ownership costs