Data Lakehouse with Relational Junction

Simplify your data architecture to join analytics and data science.


Data Lakehouse Foundation

Relational Junction is the foundation for a cost-effective, highly scalable lakehouse by providing the reliability and performance.

Consolidate Data Silos

Replaces data silos with a single home for structured, semi-structured, and unstructured data.

Increase Performance

Solve the challenges of traditional data lakes — get better data reliability, support for advanced analytics, and lower total cost of ownership.

Relational Junction Lakehouse Platform

Delivering data management and performance typically found in data warehouses with the low-cost, flexible object stores offered by data lakes.

Enhance Efficiency

Keep large volumes of diverse data in one place for advanced analytics and reporting

Improve Quality

Eliminate redundancies that are possible if an organization uses a data lake and several data warehouses

Increase Performance

Save time and resources to focus on insights – just click and load

Relational Junction’s Modern Data Lakehouse

Why Use Our Signature Solution?

Benefits of a Data Lakehouse

  1. Scalability: Handle large volumes and a variety of structured and unstructured data efficiently.
  2. Flexibility & Agility: Easily adapt to evolving data sources and business requirements.
  3. Cost-effectiveness: Optimize storage and processing costs with a tiered storage model.
  4. Speed & Performance: Accelerate data processing with modern data storage and computing engines.
  5. Real-time Insights: Facilitate real-time analytics and machine learning applications.

Just like a data lake, a data lakehouse is built to house both structured and unstructured data. Businesses can work with unstructured data in one data repository rather than requiring both warehouse and lake infrastructure. Lakehouses are enabled by a new system design: implementing similar data structures and data management features to those in a data warehouse directly on top of low-cost cloud storage in open formats.

Data lakehouses enable structure and schema, like those used in a data warehouse, to be applied to the unstructured data of the type that would typically be stored in a data lake. This means that data users can access the information more quickly and start putting it to work. These data users might be data scientists or, increasingly, workers in any number of other roles that are seeing the benefits of augmenting themselves with analytics capabilities.

Enhancing Business Intelligence with a Data Lakehouse

  1. Integrated data: Consolidates data from diverse sources, enabling a comprehensive view of the business.
  2. Enhanced data quality: Supports ETL and data cleansing processes to provide accurate, reliable information.
  3. Faster insights: Accelerates time-to-insight with modern data storage and processing capabilities.
  4. Scalable analytics: Handles large volumes of data for more granular analysis and better decision-making.
  5. Collaboration: Streamlines data access for cross-functional teams, fostering data-driven collaboration.
  6. Advanced analytics: Incorporates machine learning and AI capabilities to uncover deeper insights and future trends.

The data lakehouse approach is one that’s likely to become increasingly popular as more organizations begin to understand the value of using unstructured data together with AI and machine learning. In the analytics journey, it’s a step up in maturity from combined data lake and data warehouse model. Until recently this has been seen as the only option for organizations that want to continue with legacy BI and analytics workflows, while also migrating towards smart, automated data initiatives.

Integrate with Leading Cloud Data Warehouses

Seamlessly integrate with major cloud data warehouse providers such as Oracle ADW, Snowflake, Amazon Redshift, and Google BigQuery.

White Oracle Autonomous Database Logo
Snowflake logo in white
Microsoft logo in white

Our Clients

Trusted by the best in the business. You’re in good company!

Bank of America

Data Lakehouse Resources

Do you have questions about building a data lakehouse? Learn why to use a data lakehouse, the benefits of analyzing data from multiple sources, & more!

Scalable Data Integration for Oracle Data Lakehouse
The Data Lakehouse and the Ecosystem That Drives It

Trying to determine if a data lakehouse is an option for your business? If so, this resource will help you with that decision.

Pack Your Data - we're going to the lakehouse
Sesame Software Provides Adaptive Data Management Strategies for the Modern Data Lakehouse

RJ combines the best elements of data lakes and data warehouses — delivering performance with the low-cost, flexible object stores offered by data lakes.

Data lakehouse
Benefits of a Data Lakehouse and Why You Need One

If you are considering using a data lakehouse, check out this article to learn more about the Data Lakehouse Platform.

Consolidate Data Silos Today!

Centralize your data into the data lakehouse of your choice

Spend more time on insights and less time on managing your data pipeline

Scale your ecosystem and connect to multiple data sources and destinations

Start Your Free Trial!