Personal Finance Management System

The Altoros team developed a back-end functionality of the online financial tool that lets users track their credit card and bank account debts.Develop similar
FINANCE
BUSINESS INTELLIGENCE
CLOUD-NATIVE
JAVA
PYTHON

About the project

The system makes suggestions and creates a plan to eliminate such debts. This Java application provides rich integration capabilities with third-party accounting and banking services.

The Need

Our customer decided to create a free online financial tool that analyzes user’s financial situation by collecting information from his/her credit cards and bank accounts and offers a plan on how to get out of debt. The customer turned to Altoros to develop the back end of the system to securely connect to users’ bank and credit card accounts.

Altoros had to create the following functionality:

  • Enable integration of system’s front end, which is written in Python, with Yodlee – an online account aggregation and financial services tool
  • Allow the system to support multiple databases
  • Create the business logic for data processing Enable the system to parse the user’s account information in the Bank of America and the US Bank

The Challenge

The team did not have relevant experience in working with the Yodlee system. Integration with this tool was quite challenging, because we had to research Yodlee functionality in full over a short period of time.

The Yodlee system has some built-in connection issues: the connection fails and the user session gets interrupted every two hours. We had to figure out how to recover sessions, so that the users would not lose some important data.

The Solution

Our Java developers conducted a thorough investigation of Yodlee, studying all of its features. To solve the connection issue, we developed the Connection Manager that automatically checks if the session is valid. When the session is interrupted, the Manager recovers it and continues executing the specified command.

The Outcome

The Yodlee integration module was developed as a Web service and integrated with Python-based front end of the system. This solution helped our customer greatly cut down development time and costs.

The system is highly scalable, the front end is written in Python, while the back end is created in Java. The customer can scale the system endlessly.

The service shows stable performance, user’s sessions are not interrupted, and all the data is processed with the highest level of security.

Technology stack

Server Platform
Linux, Java 1.6, Axis Web services, Google RPC calls
Client Platform/Application Server
Tomcat 6
Programming Language
Java, Clojure, Python
Technology
Spring, Hibernate, RPC, Yodlee
Database
PostgreSQL

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Ryan Meharg

Ryan Meharg

Cloud Solutions Architect

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