Click House

Overview

ClickHouse is a high-performance, open-source columnar database built for fast, scalable analytics. Designed to process billions of rows in milliseconds, it enables real-time reporting, event analysis, and large-scale OLAP workloads without the cost or complexity of traditional data warehouses.

Its column-oriented storage, vectorised execution, and efficient compression make it uniquely capable of powering data products that require rapid query performance and high concurrency. Whether deployed as part of a standalone analytics stack or integrated into a hybrid warehouse design, ClickHouse delivers performance at scale while remaining cost-efficient and flexible.

What we do

At High Digital, we implement ClickHouse as a core component of modern, high-speed analytics architectures. Our work covers:

Designing and deploying ClickHouse clusters for enterprise analytics
Building ETL and streaming pipelines into ClickHouse
Integrating ClickHouse with existing data warehouses, lakehouses and BI tools
Modelling data for real-time dashboards, observability tools and event-driven analytics
Implementing ClickHouse as a serving layer for SaaS and data-intensive applications
Ensuring secure and compliant deployments aligned with ISO 27001 and Cyber Essentials Plus

We deliver full data-product engineering — from ingestion to performance optimisation to front-end analytics — using ClickHouse where ultra-fast query performance matters.

Why We Use ClickHouse

Unmatched Query Speed

Even with billions of rows, ClickHouse consistently delivers millisecond-level responses, enabling true real-time analytics.

Built for High-Volume Data

It excels in workloads with large event streams, frequent writes, and heavy aggregation — areas where traditional warehouses slow down.

Low Cost at Scale

Columnar compression, vectorised execution and efficient resource utilisation significantly reduce infrastructure costs.

Scalable and Distributed

Horizontal scaling supports enterprise growth, varying traffic patterns and high concurrency.

Flexible Integration

ClickHouse works well alongside other components such as Fabric, Databricks, Kafka, Spark, Python and modern BI tools.

Open, Transparent and Extensible

Because it is open-source, ClickHouse avoids vendor lock-in and can be deeply customised or paired with any modern data platform.

Use Cases at High Digital

Real-Time Analytics Dashboards

Live dashboards for production, logistics, marketing, operations and customer behaviours, powered by sub-second queries even at massive scale.

Event & Time-Series Data Processing

High-frequency telemetry, IoT sensor streams, logs, and event pipelines processed with both fast inserts and high-speed aggregation.

SaaS Platform Analytics

Multi-tenant reporting, usage analytics, customer behaviour insights and product analytics served through a fast, scalable API layer.

Operational Decision Systems

ClickHouse acts as the serving engine for applications that require instant responses — allocation engines, scoring systems, real-time forecasting, alerting layers and monitoring tools.

Hybrid Warehouse Architectures

Used alongside Microsoft Fabric or Databricks to provide best-in-class analytical speed while the broader warehouse handles orchestration, modelling or governance.

Why We Use Tailwind CSS

Tailwind CSS gives us full control over the design system while speeding up development. Its modular approach ensures that designs are both consistent and easy to maintain.

Technologies we use

Frontend

React.js

Next.js

Tailwind CSS

Angular.js

Backend

Python

Fast API

.Net

Node.js

Databases

MS SQL

PostgreSQL

MongoDB

Databricks

Cloud & DevOps

Microsoft Azure

AWS

Google Cloud

GitHub Actions

Key ClickHouse Technologies

MergeTree Engine Family

Replicated MergeTree

Projections

ClickHouse Keeper

Kafka Engine

S3 / Blob Storage Integration

Vector Search & Embedding Indexing

Why We Use Tailwind CSS

Proven track record delivering high-impact digital products

Deep technical expertise across modern stacks

Focus on data, scalability, and user experience

Collaborative and client-first mindset

Looking to build a modern data platform or enhance your analytics capabilities?

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