Case Study
Scaling Data Monetization for a SAAS Billing Platform
How a SaaS billing platform modernized client data delivery with AWS
Solution
Data Engineering & Analytics, Data Governance & Privacy, Cloud Development, Microservices, DevOps
Industry
IT/SaaS
Core Technology
AWS, Python, Terraform, Oracle
Overview
A leading provider of cloud-based billing services for global enterprises found itself at a strategic crossroads. While their platform efficiently managed complex revenue operations, it also generated a massive volume of transactional data that their clients were eager to access for internal analytics and auditing. To meet this demand, the company launched an initiative designed to provide clients with dependable and secure access to their own data. Recognizing the architectural complexity of productizing a multi-tenant data platform, the company partnered with Xavor Corporation to evolve and scale the system into a robust, enterprise-grade offering.
Business Challenge
The initiative’s promise was straightforward, but the underlying technical reality was anything but. As the program expanded, the team encountered several “gravity-well” challenges:
- Strict Multi-Tenant Compliance: As a provider for large enterprises, data isolation was a non-negotiable requirement. The architecture had to minimize risk of data commingling across clients while operating in a cloud-based environment..
- High Data Volume and Velocity:Tables routinely handled millions of rows, requiring a platform that could maintain performance without escalating costs.
- SLA and Reliability Pressure: Clients expected data to land within strictly defined time windows. Any failure in the pipeline directly translated into commercial risk and eroded trust.
- Complex Transformation Logic: The environment required seamless data translation across disparate formats—moving from Oracle sources to Parquet, Spark, and AWS Glue—all while maintaining data integrity.
- Operational Sprawl: As the service grew to 17 clients, each with two to three distinct environments (development, staging, and production), the manual management of segregated pipelines became untenable. This created a critical need for better observability and standardized release management.
the solution
Xavor supported the engineering of a multi-tenant data delivery platform with a focus on consistency and repeatability. Our approach emphasized moving from manual pipeline management toward a more modular, infrastructure-as-code (IaC) approach.
1. Architectural Framework:
We utilized AWS Database Migration Service (DMS) to facilitate reliable movement from source Oracle systems.
To handle complex transformations, we implemented AWS Glue and Python-based ETL jobs, enabling translation for Spark and Parquet ecosystems.
For internal messaging and notifications, we integrated AWS SNS and SQS.
2. Standardization and Scaling:
To address the operational sprawl of up to ~50 environments, Xavor leveraged Terraform to standardize and automate provisioning so client environments could be created consistently from shared templates.
We also contributed to the development of an internal CLI tool for configuration management. This tool allowed the team to manage per-client and per-environment pipelines through automated code rather than manual intervention.
Finally, we explored and designed future-ready pathways for real-time delivery using Oracle GoldenGate and Change Data Capture (CDC) patterns.
outcomes & benefits
The partnership transformed the the early-stage project into a scaled, high-value product line:
Massive Scalability:
Scaled the platform to support 17 enterprise clients and their associated environments.
SLA Reliability:
Strengthened the reliability of data delivery by standardizing provisioning and expanding monitoring/alerting (with the goal of meeting defined SLA windows).
Data Segregation Controls:
Implemented controls and patterns designed to prevent client data commingling and support enterprise compliance and security expectations.
Operational Maturity:
Reduced deployment friction and configuration mapping via the internal CLI tool, allowing the team to focus on observability and feature expansion rather than firefighting.
Unlike off-the-shelf tools, Assist+ was custom built by Xaor using Agile PLM’s SDK and web technologies, demonstrating deep platform mastery, adaptive development capabilities, and the abiloty to delivery tailored solutions that drive user adoption and operational excellence.
Tools & tech stack
conclusion
Converting raw operational data into a monetized product is rarely just a matter of extraction; it is a challenge of engineering at scale. For this SaaS provider, the differentiator was the ability to deliver the right data to the right client, on time and in the right format, with an isolation model designed to meet enterprise scrutiny. By embedding compliance into the architecture and utilizing a configuration-driven deployment model, Xavor helped turn a scaling bottleneck into a strategic revenue driver.
Is your organization looking to monetize internal data or modernize complex, multi-tenant pipelines? Xavor Corporation specializes in engineering the cloud-native architectures required to turn data into a strategic asset.
Reach out for a personalized consultation today or visit www.xavor.com to learn more about our solutions.
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