How Nucleus Security Drove 4X Throughput with Distributed SQL
![Jeff Gouge - Chief Information Security Officer, Nucleus Security](https://images.contentstack.io/v3/assets/bltac01ee6daa3a1e14/blt78b90c9b832aff6d/64bfe5870760066b66441f24/jeff-gouge_primary.png)
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![Albert Lau - Lead Engineer, Nucleus Security](https://images.contentstack.io/v3/assets/bltac01ee6daa3a1e14/blt3f391870a2bb3c0a/64bfe5871add4dec4dfbc2b0/albert-lau_primary.png)
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Nucleus Security, a leading application security / vulnerability management platform, needed a database architecture that could handle fast ingest data from a variety of sources (assets, vulnerabilities data, threat intelligence feeds) and in a variety of formats (JSON, full text, etc). And the team needed to be able to handle complex queries for a security-conscious customer base that demands real-time insights.
After struggling with and eventually discarding MariaDB, Nucleus Security was able to improve performance 20X and cut AWS costs by 3X using SingleStoreDB, reducing their platform’s vulnerability scan from hours to minutes.
But then Nucleus ran up against a new limit based on hardware – join us for an interactive session to learn how they successfully reached a new level of peak performance using the power of a scale-out, distributed architecture through SingleStoreDB “clustering” which achieved 4X greater throughput.
Nucleus’ data journey to powering real-time vulnerability management platform
The cloud-native operational database built for speed and scale
Accelerate business with instant insights delivered by the world’s fastest database for operational analytics
Create your future on a platform made for the demands of the data revolution, including machine learning and AI
Transform on your terms - with the familiarity and efficiency of SQL, and an architecture that bursts through limits