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Discover our latest case study: Grounded Innovation at Bridgestone Aircraft Tire

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Usecase

High volume analytics
without effort

Supercharge your data infrastructure for big data

The shortcomings of traditional approaches

The influx of massive data, be it from monthly reconciliations or constant streams from IoT and web sources, can put existing data infrastructures on their knees.

Traditional ETL chains groan under this pressure, and this not only endangers the integrity of the entire chain but also indirectly impacts lower-volume use cases. Furthermore, it can halt the deployment of potentially valuable high-volume business use cases.

Pressure on operational systems

Slowing-down of daily batches

Untapped high-volume data

Big Data analytics with Digazu​

The influx of massive data, be it from monthly reconciliations or constant streams from IoT and web sources, can put existing data infrastructures on their knees.

Traditional ETL chains groan under this pressure, and this not only endangers the integrity of the entire chain but also indirectly impacts lower-volume use cases. Furthermore, it can halt the deployment of potentially valuable high-volume business use cases.

1

Efficient Infrastructure

No data left behind, regardless of size.

2

Keep most of your environment untouched

Declutter your data infrastructure.

3

Business Opportunities

Tap into high-volume business use cases easily.

How Digazu delivers its promise

Digazu’s Dual-Advantage: Harnessing the dual power of incremental and parallel processing, Digazu ensures that your vast data volumes are managed effectively.

Incremental Processing
for Constant Flow

With Digazu’s streaming technology, data is handled as it arrives — event by event. Instead of confronting a mountain of accumulated data, you’re addressing a constant stream, making processing manageable and efficient.

Parallel Processing
for Unbridled Scalability

Digazu is built on parallelizable technology. When you need more processing power, just add it. There’s no upper limit or constraints; it scales to your needs seamlessly.

Integrate Digazu & Liberate Your Infrastructure

Keep What Works

Integrate Digazu into your existing setup without the need for a complete overhaul. Embrace high-volume use-cases while ensuring your traditional processes remain undisturbed.

No reskilling needed

with Digazu’s low-code approach, transform your high-volume data visually or with SQL.

Unified Data Governance

With Digazu, integrating new technology doesn’t fragment your oversight. Our platform seamlessly aligns with your existing systems, ensuring governance remains consistent and streamlined across all tech layers.

Flexible Deployment for Every Need

Cloud or on-premises, Digazu adapts. Stay agile, responsive, and always prepared for any data volume with our versatile deployment options.

In the realm of high-volume data, Digazu stands out with its unique blend of incremental and parallel processing. Volume is only an opportunity for more business insight, not an infrastructure burden.

REAL-TIME FAILURE DETECTION
IN A MULTIMILLION DOLLAR SAVING PLAN.​
View Case Study
SETTING UP A BUSINESS-DRIVEN DATA
PROGRAM AT A LARGE CAR MANUFACTURER.
View Case Study
Grounded Innovation at Bridgestone Aircraft Tire
View Case Study

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Our data experts will be delighted to take you through our innovative approach and assess how it could deliver immediate results within your organisation.

Take the fast path to maturity for your data organisation.

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  • Solution
    • Stream Integration
    • Low-code
    • Governed
    • Technology and architecture
    • Case studies
  • Company
  • Usecases
    • Real-time business intelligence
    • High-volume analytics
    • Snowflake
    • Intelligent Automation
    • Practical Data Mesh
  • Resources
  • Contact