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More data. Lower costs.
Better products.

Imagine what you can build when traditional budget and data retention constraints are eliminated.

Inspirational image emphasizing the advantages of Hydrolix in managing large-scale data with lower costs and the potential for creating better products
Use Cases

When data makes the difference

Visual representation of Hydrolix's solution for real-time observability across multiple CDN vendors, highlighting its ability to diagnose and troubleshoot issues efficiently.
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observability

Multi-CDN Observability

Combine and normalize logs from multiple CDN vendors, creating real-time views to diagnose and troubleshoot issues in real time.

DIGITAL ADVERTISING

Supply Side Optimization

Improve auction outcomes, including de-duplicating bids across dozens of partner networks. Improve benchmarks, and offer better customer reporting.

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Image illustrating Hydrolix's role in improving auction outcomes and customer reporting in digital advertising through efficient bid de-duplication.
Graphic showing Hydrolix's capability in Security Information and Event Management (SIEM), focusing on real-time threat detection and high-volume data processing from various sources.
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SECURITY

SIEM

Identifying threat signals in real time to avoid business disruptions requires the ability to process and retain high volumes of streaming data, often from disparate sources.

observability

ELK Stack Replacement

Reduce storage costs 75%, eliminate timeouts, keep all data hot, scale compute and storage independently, and simplify your operations.

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Depiction of Hydrolix's advantages over traditional ELK stacks, emphasizing 75% storage cost reduction, data scalability, and operational simplicity
Image highlighting Hydrolix's impact on Machine Learning Operations (MLOps), showcasing its ability to enhance model observability and data quality tracking.
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ML/AI

MLOps

More data means more accurate model observability. Track model and feature drift detection, input and output data quality, model explainability and performance.

Retail

Retail

Make better real-time recommendations, personalize the shopping experience based on more behavior data, and scale up for flash sale events without having to overprovision.

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Illustration of Hydrolix's application in retail, focusing on real-time recommendations, personalized shopping experiences, and scalability for flash sales.
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WHAT OUR CLIENTS ARE SAYING

At MediaMath, we chose Hydrolix because with Hydrolix we could store more data for a lot less, which in turn allowed us to not just greatly improve auction performance and ML model quality but build new products for our customers.

– Andy Ellenthal
EVP Sales & Service
MediaMath

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