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

Powering the next generation of data-intensive applications

Hydrolix is a streaming data lake built to power log data-intensive applications. It is ideal for use cases with more data in the hot storage tier to improve outcomes.

Our unique cloud-native design combining decoupled storage, stream processing, and indexed search means SSD performance at block storage prices.

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.

Hydrolix Observability Client Testimonial Video
Image illustrating Hydrolix's role in improving auction outcomes and customer reporting in digital advertising through efficient bid de-duplication.
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DIGITAL ADVERTISING

Supply Path Optimization

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

Hydrolix AdTech DSP One-Sheet
Hydrolix AdTech SSP Exchange One-Sheet
Hydrolix AdTech Client Testimonial Video
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.

Hydrolix Cybersecurity for Product Teams One-Sheet
Hydrolix Cybersecurity SOC SRE One-Sheet
Depiction of Hydrolix's advantages over traditional ELK stacks, emphasizing 75% storage cost reduction, data scalability, and operational simplicity
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observability

ELK Stack Replacement

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

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.

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

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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    Infographic: 4 Observability Anti-Practices

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    Our new infographic highlights four common observability anti-patterns.

    Franz Knupfer

    I

    May 14, 2024

    2 minute read
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    Dissecting a Hydrolix Query

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    Walk through a Hydrolix query and learn how Hydrolix achieves low latency performance using massive parallelism and sparse indexing.

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    6 minute read
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    Deep Dive: Latest N Rows with Row-Level Partition Pruning

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    Learn how we optimized the Hydrolix query engine for latest N rows queries through concurrent processing and strategic data handling at scale.

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    I

    May 1, 2024

    6 minute read
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