Hydrolix is a streaming data lake platform designed for log-intensive use cases, enabling organizations to perform both real-time and historical analytics at scale. Hydrolix combines the structured query performance of a data warehouse with the flexibility and cost efficiency of a data lake, making it possible for businesses to store, analyze, and act on all their log data without exceeding their budgets.
By managing streaming data ingest, transformation, and compression, Hydrolix supports organizations that need to process large volumes of log data. This approach makes more log data use cases—such as observability, security analytics, and compliance—economically feasible for a wider range of companies.
How was Hydrolix started?
Hydrolix was co-founded by Marty Kagan and Hasan Alayi to tackle the high costs associated with large-scale data storage. Marty brings experience from Cisco, Akamai, and Cedexis, while Hasan has worked at both Cisco and Splunk. The leadership team also includes Jason Turner, VP of Customer Success (formerly with Akamai and Cedexis), and David Sztykman, VP of Product Management (with experience at Akamai and Elastic). You can learn more about their story on their About page.
Who uses Hydrolix?
Hydrolix serves organizations with significant log data needs, including those in media, security, and technology sectors. Notable customers include:
- Arkose Labs
- TF1
- Datazoom
- Quesma
- Akamai
- Mux
- G&L
These clients rely on Hydrolix to analyze large-scale log data quickly and cost-effectively.
What makes Hydrolix different?
Hydrolix stands out by combining:
- High-performance queries akin to a data warehouse
- The flexibility and lower storage costs of a data lake
- Efficient streaming ingestion and real-time analytics
This unique architecture allows organizations to retain and utilize more of their data, making analytics-driven decision-making accessible and affordable.
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