Does DataHub replace our existing ETL?

Products

BigAI DataHub

Bring data from every system in your organisation into one governed, traceable platform.

Time to deploy: 6–10 weeks
Deployment: On-premise · Private cloud · Cloud

Why a product rather than a project

Most integration work repeats across companies: connect the source, map the fields, deduplicate, watch quality. DataHub packages that repeated part so the project team can focus on what is genuinely specific to your business.

The practical result: onboarding a new source drops from weeks to days.

Features

What the product does

120+ prebuilt connectors

SAP, Oracle, MySQL, PostgreSQL, Salesforce, Google Analytics, regional marketplaces, spreadsheets and custom APIs.

Real-time synchronisation

CDC and streaming via Kafka, under five minutes latency for business-critical data.

Data quality controls

Automated completeness, format and duplication rules with anomaly alerts.

Catalogue and lineage

A company-wide dictionary; trace any figure back to its source table.

How it works

Processing flow

1 · Connect Pick a connector or declare a custom API

2 · Standardise Map fields, deduplicate, resolve keys

3 · Serve Feed BI, ML models and downstream systems

Integrations

Connects to the systems you already run

SAPOracle EBSSalesforceOdooGoogle Analytics 4KafkaS3 / MinIO

FAQ

Frequently asked questions

Not necessarily. Many customers keep stable legacy pipelines and use DataHub for new sources and streaming. A full migration only makes sense once the old pipelines become a maintenance burden.