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Hydrolix
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DocumentationAPI ReferenceReleases

Hydrolix

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

Deploying Hydrolix

  • Deploying on Google GKE
    • Preparing your GKE Cluster
    • Installing the HKT CLI
    • Deploying to GKE
    • External Postgres - GKE
  • Deploying on Amazon EKS
    • Preparing your EKS Cluster
    • Deploying Hydrolix
    • Adding EKS Cluster Admins
    • External RDS Postgres - Multi-AZ
  • Deploying on Linode LKE
    • Preparing your LKE Cluster
    • Installing the HKT CLI
    • Deploying to LKE
  • Enabling Access & TLS
    • TLS using cert-manager
  • Configuration Options
    • Targeting k8s resources
  • Scaling your Cluster
    • Scale Profiles
    • Pod Descriptions
    • Troubleshooting
    • Custom Scale Profiles
  • Upgrading Hydrolix
  • Platform Observability
    • Prometheus Integration
    • Grafana Ops Dashboards
    • Grafana Alerts
    • Useful Kubernetes Tools
  • HKT Command Reference
  • HDXCLI Command Reference

Preparing Data

  • Projects & Tables
  • Write Transforms
    • Transform Structure
    • Basic Data Types
    • Complex Data Types
    • Timestamp Data Types
    • Limiters
    • Auto Values
    • Scripting
    • Format Options
    • Testing and Validating Transforms
    • Rejects
    • Publishing Your Transform
    • Useful Data Tools
  • Data Enrichment
  • Custom Functions
  • Custom Dictionaries
  • Full Text Search
  • Additional Table Settings

Loading Data

  • Loading Data
  • Stream Ingest
    • HTTP Stream API
    • via Kafka
    • via AWS Kinesis
    • Stream Metrics
  • Batch Ingest
    • AWS (CF) Bucket Access
    • AWS S3 Notifications
    • GCP Storage Notifications
    • Batch Metrics
  • Real-Time Enrichment
  • Summary Tables (Aggregation)
    • Summary Metrics
  • Insert / Save Data Manually

Exploring Data

  • Querying Data
    • via Clickhouse Client
    • via DBeaver
    • via JDBC Driver
    • via Python Library
  • Visualizing Data
    • Redash Integration
    • Grafana Integration
  • Setting Query Options
    • List of Query Options
    • Query Authentication
    • Query Performance Debugging
  • Query Observability
    • HTTP Response Headers
    • Query Metrics
    • Active Queries
  • Custom Views
  • Writing Efficient Queries
  • Clickhouse SQL
    • SQL Statements
    • SQL Compatibility
  • Query Tools

Managing Data

  • User Permissions
  • Catalog Metadata
  • Compacting & Optimizing Data (Merge)
    • Merge Metrics
  • Aging Data
    • Age Metrics
  • Altering Data
    • Alter Metrics

Tutorials

  • Introduction
  • Journald with Vector
  • Elastic Common Schema
  • Load your first dataset
    • Create a Project & Table with API
    • Create a Transform (Write Schema)
    • Enable Access to a Data Bucket (AWS only)
    • Run the batch ingest job API
    • Query data
  • GDELT Data
    • Basic Queries
    • Statistical aggregations
  • Working with Metrics
    • Timeseries functions
  • Working with Fastly CDN Logs
    • Fastly transaction logs
    • Visualizing Fastly Data with Grafana

Privacy

  • Hydrolix, Inc. Data Processing Addendum
  • Hydrolix Privacy Notice
  • Subject Access Request Form
  • Hydrolix Subprocessors

Legal

  • Terms of Service

Advanced Section

  • Migrating Postgres

Welcome to Hydrolix!

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Hydrolix is a cloud deployable time-series data platform designed for vast
volumes of data to ingest, query, manage and store.


Google GKE

Let's get started >

Amazon EKS

Let's get started >

Linode LKE

Let's get started >

Updated 4 months ago