Big data services

When data outgrows traditional tools, we build platforms that process large volumes and real-time streams efficiently and at a controlled cost, from system logs to sensor and transaction data.

When you need big data services.

If any of these sound familiar, this service is for you.

  1. 01

    Daily data volume exceeds what your current database can handle.

  2. 02

    You need real-time decisions on continuously streaming events.

  3. 03

    Storage and processing costs are climbing fast.

What we deliver.

Processing large volumes of real-time and historical data at a controlled cost.

  1. 01

    Data lake

    Low-cost storage for every kind of data.

  2. 02

    Stream processing

    Analyzing events as they arrive and acting on them.

  3. 03

    Batch processing

    Large scheduled jobs on resources that scale up and down.

  4. 04

    Cost optimization

    Storage tiers, compression and partitioning.

  5. 05

    Governance and security

    Encryption, classification and field-level access.

  6. 06

    Monitoring and reliability

    Alerts when data is late or jobs fail.

What every engagement includes.

  1. Unified, clean data

  2. Dashboards for management

  3. Results measured in time or money

  4. Clear permissions on who sees what

How we work.

Five steps, and at each one you know what you will receive, and when.

  1. 01

    Understand

    A call where we hear about your business, your customers and what you want to change, then agree what gets built first.

    You getA written proposal with scope, price and timeline

  2. 02

    Design

    You see the screens, try them and change them before we write a single line of code.

    You getA design you try and approve

  3. 03

    Build

    We build in short stages and you try each one yourself, so you never wait until the end to see results.

    You getA preview with every stage

  4. 04

    Test & secure

    We test speed and features, try to break in ourselves, and fix what we find before your customers see it.

    You getA report of what we tested and fixed

  5. 05

    Launch & stay

    We launch with you and train your team, then stay on for monitoring, updates and fixes.

    You getSupport and follow-up after launch

What does big data services cost?

We won’t throw out a random number before we understand what you need. These are the factors that set the price; after a short call we send a written proposal with price, phases and timeline, with no obligation.

Request a quote
  1. 01

    Number of pages and screens

    Every screen, user type and report adds work, so we start with what matters most and leave the rest for a later phase.

  2. 02

    Connections to other systems

    Payment gateways, shipping carriers, accounting systems and government platforms, each with its own requirements.

  3. 03

    Level of design

    An experience fully designed for your brand, or practical screens on an existing design system at a lower cost.

  4. 04

    How sensitive the data is

    Patient and payment data need more controls than a company site, as do in-country hosting rules.

  5. 05

    Number of users

    A system for a hundred users differs from one for a hundred thousand, in how it’s built and what it costs to run each month.

  6. 06

    Support after launch

    The response time you need, and the size of monthly updates.

Questions about this service.

When do we really need big data tools?

When regular tools fail on volume or speed. Often a good warehouse is enough, and we say so plainly.

How is cost controlled?

With resources that scale with load, storage tiers and monthly cost reports.

Do you support real-time device data?

Yes, from sensors, IoT devices and system logs.

Don’t see your question?

Write to us and a person from the team replies directly.

Contact us

Let’s talk about big data services.

Send your idea or a link to what you have today, and a person from the team replies within one business day with the next step.

From Egypt to Saudi Arabia, the Gulf and the world.