Scalable Ocean Big Data Processing: Faster, Cheaper, Smarter

Automate and accelerate your ocean big data workflows beyond desktop limits with a powerful, cloud-native engine.

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The Challenge of Modern Ocean Big Data Processing

Organisations collecting ocean big data face growing data velocity and are limited by
outdated desktop-based methods.

Huge Data Volumes

Sensors with higher resolution generate ever larger data sets, leading to bottlenecks.

Limited Resources

Desktop software is not designed for big data and limited by hardware resources. 

No Automation

From file validation to merging, everything requires repetitive manual steps.

Poor Quality Assurance

No built-in tools for automatic validation, flagging, or cleaning reduce trust in results.

Slow Workflows

Manual and repetitive workflows take days or weeks to process datasets.

Expert-Only Tools

Only highly specialized personnel can operate complex legacy software.

Our Solution:

north.io's Ocean Big Data Processing Engine

Our engine utilises scalable architectures to apply parallel high-performance cloud computing to complex raw underwater sensor data: insights created in seconds.

Parallel

Processing

Process dozens of raw underwater datasets across multiple workflows simultaneously. No need to wait for one batch to finish before starting the next.

 

Multi-File
Input

Drag, drop, and queue complete folders of files. The engine handles multi-step processing with logic tailored to each activity.

Data Specific
Processing 

Our engine understands your data—from MBES, SSS to LIDAR—and intelligently provides relevant algorithms for each file. No manual matching required.

Broad

Algorithm Coverage

Get started fast with top activities per sensor type:

MBES: Beam footprint, coverage, bathymetric features
SSS: Signal-to-noise ratio, signal footprint, coverage
LIDAR: Point density, coverage, topographic features

Stable 
Automation

You don’t need to be a scripting expert. Our UI guides you through creating complex pipelines without crashing your system.

 

How It Works:

From Raw Sensor Data to Results in Seconds

Watch how easily you can set up an entire ocean big data processing workflow.
Upload your files, select the activity, and let the engine do the rest.

Benefit From Our Processing Engine

Transform your ocean big data workflows with faster and scalable cloud-computing.

On-Demand Scaling

Leverage cloud resources when you need them. No need for intensive hardware investments.

Shorter Time to Insight

Process dozens of files in parallel. Turn raw data into actionable outputs in hours, not days.

Precise Outcome

Advanced processing methods yield razor-sharp outputs,  even on Side Scan Sonar. Perfect for detecting small objects like torpedoes or anchors.

No Vendor Lock-In

Export data in standard, open formats (GeoTIFF, Geojson, Geoparquet, Las/Laz etc. or share them as WMS) and stay in control of your own information.

Underwater Clarity

Combine the power of geospatial analysis with geophysical processing to understand what lies beneath the ocean's surface.

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Talk to our Experts and Discover the Ocean Data Processing Engine

Contact us

The Ocean Big Data Specialist

Our Ocean Big Data Processing Engine was designed for scalable, distributed underwater data processing. Unlike traditional desktop, we enable data processing at the oint cloud level using raw data: preserving accuracy and creating more insights. 

Distributed Cloud Architecture with Apache Spark

At its core, the Ocean Big Data Processing Engine is powered by Apache Spark, the industry-standard framework for distributed, parallel computation. This enables fast processing of massive data volumes across multiple nodes simultaneously, turning hours of work into minutes.

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Kubernetes-Based Orchestration

The Ocean Big Data Processing Engine runs in containers orchestrated by Kubernetes, ensuring high reliability, workload balancing, and dynamic scalabilit. Whether you need to process a single file or an entire survey campaign.

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Intelligent Workflow Logic

The engine's build-in geointelligence automatically detects your input data type (e.g., MBES, SSS, SBP) and provides matching algorithms. Workflows are built based on file format, metadata, and analysis goals, so you stay focused on outcomes, not configurations.

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Raw Data Processing

Instead of converting raw sensor data into rasters, the Ocean Big Data Processing Engine performs computations directly on raw and unified point cloud data (Apache Spark & Parquet). This approach avoids loss of critical detail during early rasterization.

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High-Performance Data Storage & Format Optimization

Using Apache Parquet, a columnar data format, the Ocean Big Data Processing Engine reads and writes large datasets efficiently, allowing selective access to necessary data without loading entire files. This results in 10x-100x faster read/write speeds than flat formats like CSV.

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Horizontal Scalability & Fault Tolerance

Rather than relying on expensive IT-infrastructure and servers, the Ocean Big Data Processing Engine optimally distributes tasks across cloud compute nodes. This design dramatically improves reliability, reduces hardware costs, and allows workloads to scale with your project needs.

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Together, these technologies form the backbone of a highly automated, cloud-native ocean data engine—purpose-built for today’s marine professionals. Whether you’re processing multibeam surveys, sidescan sonar, or seismic profiles, the Ocean Data Processing Engine gives you speed, accuracy, and flexibility—without compromise.

Ready to Transform The Way you Process Ocean Big Data?

 

Stop wasting time with crashing software and manual processing.
Let's discover how to accelerate ocean data processing and generating insights in seconds.

Experience the future of ocean data processing.

Let's talk

 

Frequently Asked Questions