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Recently Funded|Amount: USD 80.0M|Industry: Software Development
Hydrolix Raises $80M in Series C to Revolutionize Log Data Economics and Analytics
Hydrolix

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Hydrolix is thrilled to announce the successful raising of $80,000,000 in our latest funding round—a powerful endorsement of our vision to transform the economics of log data processing. Our innovative platform, a streaming data lake optimized for log-intensive use cases, is engineered to provide both real-time and historical analytics at scale, ensuring that businesses can harness the full potential of their data without the prohibitive costs typically associated with traditional data warehouses. By combining the performance and structure of a data warehouse with the flexibility and cost efficiency of a modern data lake, Hydrolix empowers organizations to ingest, transform, and compress vast streams of log data seamlessly. This breakthrough enables companies to store and analyze all of their crucial data while maintaining budgetary prudence, unlocking opportunities for enhanced operational insights and more agile decision-making. The recent capital injection is set to accelerate our technology development and market expansion efforts. With this funding, we plan to further refine our platform’s capabilities, ensuring even greater query performance and scalability to meet the growing needs of our customers. Additionally, we are committed to investing in research and development to pioneer new use cases and drive further innovations in data management. Our goal is not only to optimize data workflows but also to make more log data use cases economically viable on a global scale. As we continue on our mission to revolutionize log data analytics, this funding milestone reinforces our promise to deliver cutting-edge solutions that empower businesses to leverage every byte of their data effectively and efficiently.
Buying Signals & Intent
Our AI suggests Hydrolix may be interested in solutions related to:
- High-volume streaming log data
- Managed observability solutions
- Real-time analytics
- Kubernetes
- S3-compatible storage
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