Sigmoid Partners With OpenX on Data Analytics Transformation
Sigmoid enhances Google’s BigQuery performance using its proprietary NitroDB Query Acceleration Framework to upgrade and accelerate OpenX’s reporting experience
Sigmoid, a leading end-to-end data solutions company, announced the results of its latest project with OpenX – the world’s largest independent advertising technology provider. OpenX has partnered with Sigmoid to standardize both internal and external reporting for OpenX’s partners and employees. Sigmoid’s powerful real-time data analytics solution Sigview has been helping over 40,000 globally connected OpenX users conduct real-time analysis on their advertising data.
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“Sigmoid, with its extensive experience in the ad-tech industry and programmatic data, has been our long-term data engineering and reporting solution partner. They contributed greatly to our migration to Google Cloud Platform (GCP) and have been key partners to OpenX,” said Paul Ryan, CTO, OpenX.
In the second quarter of 2020, OpenX decided to consolidate and migrate multiple technology platforms and data pipelines to Google’s centralized BigQuery data lake. This significantly enhanced their customer experience while decreasing operational expense. Pivoting to a new technological change, OpenX trusted Sigmoid to start initial assessment and a performance benchmarking exercise.
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“We have delivered successful solutions to businesses globally on a broad spectrum of cloud and open-source technologies. Developing systems on Google Cloud Platform (GCP) and adaptable open-source platforms is one of our core strengths,” said Mayur Rustagi, co-founder and Chief Technical Officer, Sigmoid.
Sigmoid collaborated with OpenX to implement its reporting solution Sigview to run on top of Google’s BigQuery, leveraging Sigmoid’s proprietary platform NitroDB. The solution can handle over 20,000 users on a daily basis with 100 concurrent users, data size of 4-5 PB per year and query response time of 2-4 Sec. It also achieved outstanding results with customized NitroDB and BigQuery setup being better than Spark + DataProc cluster in both ROI (40% Better ROI) and Performance (7x Faster).
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