ETL with
Relational Junction

Relational Junction’s ETL solution makes the enterprise data integration process fast and fully scalable.

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Fully Scalable ETL Solution

Relational Junction helps you combine structured and unstructured data from many sources, placing them in the destination of your choice.

Consolidate Data Silos

Unify your data in the destination of your choice including Oracle ADW, Microsoft Azure, and more.

Accelerate Time to Insights

Data is easily manipulated into table structures optimized for reporting. Unlock hidden insights with the BI tool of your choice – giving you a complete view of critical business data.

Keep Your Data Fresh

Synchronize your data incrementally to ensure it is continually and automatically updated at a frequency you control.

Relational Junction ETL

If you have data from multiple sources that you want to bring into a centralized database, Relational Junction can:


Easily extract data from its original source, whether that is another database or an application.


Transform data by cleaning it up, deduplicating it, combining it, and otherwise getting ready to load.


Seamlessly load the data into the target database of your choice in a matter of minutes.

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The Power of ETL

Relational Junction extracts data from various sources with the ability to cleanse, standardize, and normalize it, and finally loading it to your chosen destination.

Easily migrate data from legacy warehouses to the cloud

Consolidate data from a multitude of different data sources and applications

Improve productivity with repeatable processes that don’t require heavy hand-coding

All-In-One Solution That Keeps You in Sync

Relational Junction makes your data easy to consume and put to use with hassle free deployment and zero maintenance.

Unlimited ETL Data Transfers

Fixed cost regardless of volume for all your ETL needs. Allowing for scalability without the surprise of complex consumption billing models.

Simplify Data Connectivity

With pre-built connectors to popular data sources, you can bring data from multiple sources into your data warehouse for analysis in a matter of clicks.

Seamlessly Migrate Data

Synchronize data with your cloud data warehouse to ensure it is continually kept up to date with automated scheduling.

Improve Data Accuracy

ETL enables companies to reveal historical context through data and enhances data precision, while also improving audit capabilities.

Various Methods, One Product

Traditional ETL

Traditionally, an ETL tool extracts data from one or several Online Transaction Processing (OLTP) databases, also known as “transactional databases.” OLTP applications contain a high volume of transactional data that needs transformation and integration with operational data to be useful in data analysis and business intelligence.

That data is generally extracted into a staging area, storage that sits between the data source and the data target. In that staging area, the ETL tool transforms data, cleansing, joining, and otherwise optimizing it for analysis.

Modern ETL

For modern data analytics and ETL, the cloud changed everything forever. While there is still some business intelligence and ETL that occurs in on-premises data warehouses, only the cloud has the combination of speed, scalability, and practicality required for handling enormous amounts of structured and semi-structured data from literally dozens or hundreds of sources.

Powerful cloud data warehouses such as Amazon Redshift, Snowflake, and Google BigQuery don’t need external resources to perform transformations. Transformations and data modeling happens in SQL, a language that BI professionals, data scientists, and analysts all have in common.


ETL is critical to database replication, whether moving data from source databases as a one-time operation or as an ongoing process. Often this involves moving data from an on-premises data warehouse to a cloud data warehouse. Still, as more enterprises move to the cloud, it can mean moving from one cloud infrastructure or cloud service provider to another. This is why it’s important to have an ETL tool that not only works in the cloud but is flexible across multiple cloud platforms.

Integrate with Leading Cloud Data Warehouses

Seamlessly integrate with major cloud data warehouse providers such as Oracle ADW, Snowflake, Amazon Redshift, and Google BigQuery. This allows you to migrate source data easily.
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From Our Clients

Trusted by the best in the business. You’re in good company! See what clients are saying about Relational Junction.

“Once you have Relational Junction set up, it just works without having to do much more than the equivalent of regular oil changes.”

– Buzztime

“The process has been very easy to understand and we feel confident that the low maintenance of this service will save us time, money, and resources.”


Bank of America

ETL Resources

Our customers span across all industries – from education, technology, healthcare, and more. Learn more about how they implemented Relational Junction to get the most out of their data, and save time on projects.

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Esquire Case Study

Esquire turned to Sesame Software and its Relational Junction suite of replication, reporting, and ETL tools to help it get the most out of its database.

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Data Replication

Giving you the flexibility to replicate data between a variety of sources and targets! Relational Junction creates and maintains a perfect replica of your data with no maintenance.

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Buzztime Case Study

See how Buzztime used Relational Junction suite of replication, reporting, and ETL tools to improve operating efficiencies and boost engagement.

Consolidate Data Silos Today!

Centralize your data into the data warehouse 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!