Getting Started
- Architecture
- Quickstart Guide
- Deploy Mach5 Search on AWS Marketplace
- AKS Cluster Configuration for Deploying Mach5 Search
- Initialize Mach5 Search in AKS
- EKS Cluster Configuration for Deploying Mach5 Search
- GKE Cluster Configuration for Deploying Mach5 Search
- Initialize Mach5 Search in GKE
- Node to Pod Mapping
- Mach5 Helmcharts
- License Token Setup Guide
- Ingesting data from Kafka into Mach5
- Ingesting data from S3 into Mach5
- Ingesting data from Iceberg into Mach5
- Operation Modes for Mach5 Ingestion
- Materialized Views in Mach5
- KQL Support
- Authentication and Authorization in Mach5
- Authenticated API Access in Mach5 Search
- Index Metadata
- Sample Data & visualizations
- Built - in Dashboard Features
- Using Databricks with Mach5 Search
- Trino Opensearch Connector with Mach5 Search
- Using Cloudflare Data Platform with Mach5 Search
- OpenSearch APIs
- Support
Deployment & Setup
Ingesting Data
Querying Data
Advanced Features
Dashboards & Visualization
Integrations
API Reference(Mach5)
Support
#Mach5 Architecture
Overview
Mach5 Search is a real-time, scalable data lake built on cost-efficient, cloud object storage (AWS S3, Google Cloud Storage, and Azure Blob Store). Out of the box, Mach5 Search provides a number of tools that are often missing from typical data lakes, delivering immense value and increasing productivity:
- Full - text and customizable indexing
- An API - compatible implementation of OpenSearch, compatible with tools like Logstash and Beats
- MQL : a simple, powerful, pipe - based query language inspired by Kusto and Splunk
- Dashboards, visualizations, and notebooks for interactive analysis and reporting
- Flux : a powerful data ingestion, transformation, and routing tool

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