Overview

Overview

Hydrolix provides comprehensive components for ingesting, querying, and visualizing your data. This section covers the various integrations, tools, and techniques available for working with your Hydrolix cluster.

Data sources

Hydrolix supports ingesting data from a wide variety of data sources including:

• AWS services (CloudFront, Elemental software, WAF)
• CDN providers (Akamai, Cloudflare, Fastly, Qwilt, Tencent EdgeOne)
• Video Streaming platforms (Mux)
• Data pipeline tools (Cribl, Fluent Bit, Vector, Zuplo)

See Data Sources for a complete list of supported integrations.

Query interfaces

Access your data using familiar tools and protocols:

• ClickHouse: Native ClickHouse client and HTTP interface
• SQL clients: JDBC driver, MySQL client, DBeaver
• Programming languages: Python library, Microsoft .NET (Octonica)
• Apache Spark: Hydrolix Connector for Apache Spark with support for Databricks, Microsoft Fabric, and AWS EMR
• HTTP Query API: Direct REST API access

Visualization tools

Visualize your data with popular business intelligence and monitoring platforms:

• Grafana: Automatic or manual installation with ClickHouse driver
• Kibana: Automatic installation for Elasticsearch-compatible queries
• Superset: Apache Superset integration
• Redash: Redash integration
• Splunk: Hydrolix Search for Splunk and DB Connect

Query optimization

Learn how to write efficient queries and troubleshoot query performance:

• Query options and precedence
• Query efficiency best practices
• Active query monitoring
• Query metrics and debugging
• HTTP response headers for troubleshooting