Hydrolix provides a streaming data lake platform optimized for log-intensive use cases, enabling both real-time and historical analytics at scale. By combining decoupled storage, indexed search, and high-density compression, it delivers sub-second query performance on petabyte-scale data at a radically lower cost than traditional solutions. The platform is trusted by major media companies like Fox, ABC, and Paramount for mission-critical live events, and has grown to over 650 customers globally. With $155 million in total funding, Hydrolix addresses the scale barriers of global reach and real-time performance for observability and security platforms.
Core real-time data platform for ingesting, storing, transforming, and searching large-scale log and event data with full-fidelity retention.
Product capabilities including merge service, block-level indexing, autoscaling, and immutable append-only data handling.
Natural-language query interface that lets users ask questions against petabyte-scale data through Model Context Protocol.
Managed observability offering for AWS customers, positioned for high-scale log retention and analytics.
Limited-availability feature for automatically identifying unusual patterns in high-volume log data and surfacing them in dashboards.
Hydrolix updated its MCP Server documentation on June 25, 2026, describing both remote and local deployment modes for LLM clients to query Hydrolix databases through MCP.
Hydrolix refreshed its Visualization Tools documentation on June 24, 2026, listing supported analytics and dashboard integrations such as Grafana, Kibana, Superset, Redash, Splunk, and Tableau.
