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Market data processing

Building a reliable and scalable solution for real-time stock data processing


Our client is a big player in the stock exchange market. They approached us to help them build an ecosystem for market data processing.


Their main business was to build a reliable and scalable solution for real-time stock data processing.

The data had to be extracted, aggregated, notification rules applied and emails sent to the stakeholders. Another requirement was that the storage ecosystem/ data processors had to be located in Azure Cloud. As our customer expected fast data growth, data storage/processing engines had to be chosen appropriately.


Taking into account our customer’s requirement to avoid whenever possible custom code development, we have built a streaming application based on Talend for Big Data in the scope of our work.

Per customer request, we’ve placed run-engines and orchestrators on VMs in Azure cloud. For fast market data distribution, we utilized Azure Service Bus. And we have also used Apache Hadoop and Impala for data storage and analysis.


Financial Services


Big Data

Technology stack

Why choose Divectors

A team of professionals with over 11 years of experience that will serve the growing need of your business

We apply standard Project Management processes and procedures that are customized according to client needs and business requirements.

We use the best Design Thinking practices to get to the bottom of the problem

An agile team of software developers, experience designers, project managers and business analysts that apply the best Agile / Scrum practices

Case Studies

We’ve put our experience into helping our customers achieve their business goals. Take a look at some of the projects Divectors successfully worked on:

Centralized data repositories

Building centralized data repositories to drive valuable insights from data


Data exchange


Tackling manual processing for the financial services provider


Data warehouse platform

Creating a centralized place for all the integrated data sources for a pharmaceutical company