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

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Snowflake and Digazu

End-to-end Real-Time Data Integration

No-code
collection

Stateful
transformations​

GDPR
Compliant

From any set of heterogeneous data sources to Snowflake in real-time:

The fastest way to get any legacy data in Snowflake

No-code collection

Collect data from any type of source with a few clicks

Universal approach

Connect to databases, streams or files

The right data and only the right data

Low code transformations

Combine all your data sources visually or with SQL

Stateful transformations

Your data is always consistent

Get your risk and compliance teams on your side

Fully GDPR-compliant

Management of consent and right to be forgotten

Governed transformations

Alignment of consumption with purpose through data products

The power of streaming

Unlocks real-time analytics

Use the real-time features of Snowflake on real-time data collected and transformed by Digazu
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No need for scheduling

The data gets collected automatically and processed when available

Low impact on source systems

You only collect changes and preserve your operational systems

A full range of real-time connectors

Digazu’s real-time connectors connect to any source type and minimise the ingestion load by using a “read once, use multiple times” approach with incremental ingestion capabilities such as Change Data Capture (CDC).

A full range of real-time connectors

Digazu’s real-time connectors connect to any source type and minimise the ingestion load by using a “read once, use multiple times” approach with incremental ingestion capabilities such as Change Data Capture (CDC).

A full range of real-time connectors

Digazu’s real-time connectors connect to any source type and minimise the ingestion load by using a “read once, use multiple times” approach with incremental ingestion capabilities such as Change Data Capture (CDC).

A full range of real-time connectors

Digazu’s real-time connectors connect to any source type and minimise the ingestion load by using a “read once, use multiple times” approach with incremental ingestion capabilities such as Change Data Capture (CDC).

A full range of real-time connectors

Digazu’s real-time connectors connect to any source type and minimise the ingestion load by using a “read once, use multiple times” approach with incremental ingestion capabilities such as Change Data Capture (CDC).

A full range of real-time connectors

Digazu’s real-time connectors connect to any source type and minimise the ingestion load by using a “read once, use multiple times” approach with incremental ingestion capabilities such as Change Data Capture (CDC).

Book a call with us to learn more

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