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Hydrolix
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ProductPricingCase StudiesSupportFree Trial
DocumentationAPI ReferenceReleases

INTRODUCtion

  • Welcome to Hydrolix!
  • The Hydrolix Data Platform
    • Core
    • Ingest
    • Merge
    • Query
    • Autoscaling
    • Management
    • Data Lifecycle
    • Alter Jobs

Deploy

  • Deploy on Google GKE
    • Install Tools
    • Prepare a Cluster
    • Deploy Hydrolix
    • Deploy Production PostGres - GKE
  • Deploy on Amazon EKS
    • Prepare a Marketplace Cluster
    • Prepare a Cluster
    • Deploy Hydrolix
    • Add Cluster Admins
    • Deploy Production PostGres - EKS
  • Deploy on Linode LKE
    • Prepare a Cluster
    • Install Tools
    • Deploy Hydrolix
    • Deploy Production Postgres - LKE
  • Secure Your Cluster
    • Configure IP Access
    • Enable TLS
    • Enable Query Authentication
    • Stream Authentication
    • Add a Custom Certificate
    • Let's Encrypt Certificates
    • Route53 Certificates
    • Cloudflare Certificates
    • Google CloudDNS Certificates
    • Enable Basic Authorization
  • Platform Observability
    • Prometheus Integration
    • Visualize Hydrolix Data in Grafana
    • Configure Alerts in Grafana
    • Useful Kubernetes Tools
  • Scale your Cluster
    • Scale Profiles
    • Pod Descriptions
    • Troubleshooting
    • Custom Scale Profiles
  • Upgrade Hydrolix
  • Configuration Options
    • Target Kubernetes Resources
  • Reference
    • HKT Commands
    • Create Cluster Flags
    • HDXCLI Commands

CONFIGURE

  • Projects & Tables
  • Write Transforms
    • Transform Structure
    • Basic Data Types
    • Complex Data Types
    • Timestamp Data Types
    • Limiters
    • Auto Values
    • Scripting
    • Format Options
    • Test and Validate Transforms
    • Rejects
    • Publish Your Transform
    • Useful Data Tools
  • Custom Functions
  • Custom Dictionaries
  • Vacuum
  • Full Text Search
  • Data Enrichment
  • Table Settings Reference
  • Store Data across Multiple Buckets

Load

  • Load Data
    • Journald Integration
    • Akamai DataStream Integration
  • Stream Ingest
    • HTTP Stream API
    • via Kafka
    • via Kinesis
    • via Akamai SIEM
    • Stream Settings
  • Stream Metrics
  • Batch Ingest
    • AWS S3 Notifications
    • GCP Storage Notifications
  • Batch Observability
    • Batch Metrics
  • Insert / Save Data Manually

Aggregate

  • Aggregating Data
    • HTTP Streaming
    • Kinesis

Query

  • Query Tools
  • Query Data
    • via Clickhouse Client
    • via DBeaver
    • via JDBC Driver
    • via Python Library
  • Visualize Data
    • Grafana Integration
    • Redash Integration
  • Set Query Options
    • Advanced Query Options
    • Query Performance Debugging
  • Query Observability
    • HTTP Response Headers
    • Query Metrics
    • Query Tracing
    • Active Queries
  • Query Efficiency
  • Custom Views
  • Clickhouse SQL
    • SQL Statements
    • SQL Compatibility

Manage Data

  • User Permissions
  • Catalog Metadata
  • System Health
  • Compact & Optimize Data (Merge)
    • Merge Metrics
  • Data Lifecycle Management
    • Age Metrics
  • Alter Data
    • Alter Metrics
  • Create Pools
  • Summary Metrics

Troubleshooting

  • Documentation Quick Links
  • Dashboards
  • General Errors
  • System Components
  • Query
  • Streaming
  • Summary

Tutorials

  • Introduction
  • Load your first dataset
    • Create a Project and Table with API
    • Create a Transform with a Write Schema
    • Run the batch ingest job API
    • Query data
  • Get Started
    • Prerequisites
    • Step 1 - Model Storage
    • Step 2 - Ingest Data
    • Step 3 - Query Data
    • Next Steps
  • Getting Started with Dictionary
  • Elastic Common Schema
  • GDELT Data
    • Basic Queries
    • Statistical aggregations
  • Work with Metrics
    • Timeseries functions
  • Work with Fastly CDN Logs
    • Fastly transaction logs
    • Visualize Fastly Data with Grafana
  • Migrate to External PostgreSQL

Privacy

  • Data Processing Addendum
  • Privacy Notice
  • Subject Access Request Form
  • Subprocessors

Legal

  • Terms of Service
  • Terms of Service - Proof of Concept

SUPPORT

  • Hydrolix Support

Deploy on Google GKE

You'll be up and running in a jiffy!

Suggest Edits

To use Hydrolix on Google's Kubernetes Engine, complete the following steps:

  1. Install Tools.

  2. Prepare a Cluster.

  3. Deploy Hydrolix.

Updated 3 months ago


What’s Next
  • Prepare Your Cluster