Apache Spark Case Studies

For 7 years, ScienceSoft has been rendering Apache Spark services to help companies implement and support their big data solutions. Check our big data success stories to see how the Apache Spark framework facilitates streaming and batch data processing, interactive analytics and machine learning to help companies quickly derive actionable insight out of their big data.

If you haven’t found a project similar to yours, don’t hesitate to turn to us for assistance.

Migration to a new analytical system that ScienceSoft implemented helped one of the top market research companies secure an innovative big data solution based on Apache Hadoop, Apache Hive and Apache Spark frameworks. The new system was 100 times faster compared to the old one and could process 1,000 different data formats.

To support a long-term customer in a new service launch, ScienceSoft delivered a scalable IoT data management solution that allowed processing 30,000+ events per second from 1 million devices.

COVID-19 – An update to our clients
In the uncertain time of Coronavirus (COVID-19) outbreak, I want to assure you that ScienceSoft remains fully operational and dedicated to supporting the continuity of our customers’ businesses. Most of ScienceSoft’s employees work remotely, and we’re equipped to provide our services in new conditions, with no impact on the quality of service or communication.
In the uncertain time of Coronavirus (COVID-19) outbreak, I want to assure you that ScienceSoft remains fully operational and dedicated to supporting the continuity of our customers’ businesses. Most of ScienceSoft’s employees work remotely, and we’re equipped to provide our services in new conditions, with no impact on the quality of service or communication.
Stay safe and healthy,
Nikolay Kurayev,
Chief Executive Officer at ScienceSoft