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Big Data & Real-Time Analytics

Move beyond simple reporting to true data excellence. We build, scale, and integrate secure Big Data ecosystems. From Predictive Analytics to Real-Time Streaming Pipelines — designed to slash operational costs and drive exponential revenue growth.

10PB+
Petabytes of Data Processed Monthly for Global Leaders.
$130k+
Average Incremental Profit Added for Our Clients
Trusted by:
Telefonica, MiQ, Seventh Decimal and others
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Stop Drowning in Data. Start Acting on Insights.

Infrastructure Under the Load

Most enterprises have enough data to dominate their market, but their legacy infrastructure chokes under the load. When queries take hours instead of seconds, you lose money, frustrate users, and miss opportunities.

We Solve the Volume + Velocity Equation

At Quontex, we build fault-tolerant systems that ingest, process, and visualize millions of concurrent events without breaking a sweat. We move you from "keeping the lights on" to a state of Continuous Intelligence.

Our Services

What We Offer

Our comprehensive suite of Big Data Services and Business Intelligence solutions is designed to help you turn raw data into valuable insights. We utilize cutting-edge tools and technologies such as machine learning, artificial intelligence, and advanced statistical methods to deliver actionable intelligence.

With our end-to-end solutions, from data strategy and management to advanced analytics and visualization, you can empower your organization to make data-driven decisions!

Data Strategy Consulting

Set the Foundation for Analytics Success

Let Quontex help you create a robust data strategy that aligns with your business objectives. We assess your current data landscape, identify gaps, and develop a roadmap for success. Our expert guidance ensures your data strategy sets the foundation for successful analytics initiatives and long-term growth.

Data Management & Governance

Ensure Data Quality and Compliance

Effective data management and governance are crucial for successful analytics initiatives. Our team helps you establish a strong data management framework, implement best practices, and ensure compliance with data protection regulations. With our support, you can trust the quality and accuracy of your data, enabling better decision-making.

Data Engineering & ETL

Reliable Data Flowing Where It’s Needed

We design and build batch and streaming pipelines that collect, clean and transform data from any source: databases, APIs, logs and third-party platforms. Every pipeline is monitored, tested and built to recover automatically, so your teams always work with fresh, accurate data.

Real-Time Streaming & Event Processing

Act on Data in Milliseconds

We build event-driven systems on Kafka and Spark that process millions of events per second with low latency. From ad bidding to network monitoring, you get insights the moment data arrives, not hours later.

Data Lakes & Data Warehouses

One Scalable Home for All Data

We architect data lakes for raw, large-scale storage and warehouses for fast, structured reporting, often combined into one platform. Built on technologies like ClickHouse, PostgreSQL and leading cloud services, they scale with your data without spiralling costs.

Analytics & BI Dashboards

Turn Raw Numbers into Clear Decisions

We create self-service dashboards and reporting that give every team the answers it needs. Clear metrics, fast queries and one source of truth replace scattered spreadsheets and manual reports.

Predictive Analytics & ML

Forecast Trends Before They Happen

We develop machine learning models that forecast demand, detect anomalies and personalise user experiences using your own data. Models are deployed into production and monitored over time, so they keep delivering value as your business changes.

Our Success Stories

Proven at Enterprise Scale

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Client: Seventh Decimal

Out-Of-Home Audience Measurement

  • Over 10x increase in data processing speed
  • Impact: Unlocking rapid business scalability through a modernized architecture
AdTechFull Product Ownership
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Client: Telefonica UK

GDPR-Compliant Big Data for Telecom

  • Challenge: Building a robust SaaS product focused on digital media while handling millions of global users' data securely.
  • Impact: Architected and deployed a highly functional, cost-efficient, and fully GDPR-compliant location-based Big Data platform.
TelecomAugmented Team
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How We Build Resilient Data Ecosystems

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Architecture First

We don't write code until we've modeled your data flow, anticipated bottlenecks, and selected the right distributed computing framework.

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Horizontal Scalability

Our systems scale out, not just up — adding nodes to absorb growing data volume and velocity without re-architecting or downtime.

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Data Governance & Security

Quality, lineage, and access controls are built in from day one, keeping your data accurate, auditable, and GDPR-compliant.

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Fault Tolerance

We design for failure: redundant pipelines and automatic recovery, so a lost node never means lost data or a broken dashboard.

Our Tech Stack

The Tools Behind the High-Load Systems

Big Data

Hadoop
Apache Cassandra
Tableau
Splunk
Apache Spark
Kafka

AI Engineering

Flowise
ChatGPT
Copilot
LangChain
Zapier
Make
n8n
Amazon Bedrock

Software Development

Python
C♯
Java
TypeScript
Node.js
Scala
Go

Web Technologies

React
Angular
Vue.js
HTML
Svelte
Next.js
Figma

Mobile App

Apple
Android
Swift
Kotlin
Xamarin
.NET Maui

Data Warehouses

Neo4j
ClickHouse
MariaDB
PostgreSQL
MongoDB
Elastic Search
Redis
Oracle

DevOps

Terragrunt
Docker
Terraform
Sonarqube
Kubernetes
Vagrant
Cloud Foundry

Clouds

AWS
Google Cloud
Microsoft Azure
Digital Ocean
OpenStack

FAQ

What is the difference between a Data Lake and a Data Warehouse?

A data lake stores raw data in its native format for flexible, large-scale processing, while a data warehouse holds structured, curated data optimized for fast business reporting. Modern platforms we build often combine both, so engineers and analysts each get the right tool.

How do you ensure data security and GDPR compliance?

Security is designed in from the architecture stage — encryption in transit and at rest, role-based access controls, and full audit trails. We have delivered fully GDPR-compliant Big Data platforms for Tier-1 telecoms, including data-retention and consent handling.

Can you fix our existing, slow data processing?

Yes. We start with an audit of your current architecture to locate the bottlenecks, then optimize or re-architect the pipeline. For Seventh-Decimal, this approach cut processing time by 10x in just one month.

Your Data is Your Most Valuable Asset. Treat it Like One.

Don't let poor architecture hold your business hostage. Let's build a data platform that scales limitlessly and delivers insights instantly.

Big Data Engineering & Real-Time Analytics Services | Quontex