AUTOMATED DATA INGESTION
Enterprise Data Capture Tools
Ingest and replicate data from anywhere. Qlik® data capture tools deliver secure, high-speed data movement to fuel your modern analytics and AI platforms.

How Qlik's data capture works
Step 1 - Connect to a vast ecosystem of enterprise data sources, including relational databases, legacy mainframes, SAP systems, and modern SaaS applications.
Step 2 - Capture raw data instantly using log-based change data capture or optimized API extraction, minimizing the footprint on your operational systems.
Step 3 - Deliver and synchronize data continuously to your target cloud environment, applying formatting to ensure it is immediately ready for downstream analytics.

Why choose Qlik for enterprise data capture?

Break down enterprise data silos
Stop struggling with proprietary systems. Qlik provides out-of-the-box connectors for almost every major database, mainframe, and enterprise application on the market.

Protect core system performance
Traditional polling queries bring production databases to a halt. Our log-based Change Data Capture (CDC) reads transactions invisibly, keeping your critical operations running fast.

Deliver analytics-ready data
Don't just dump raw data into a data lake. Qlik automatically maps and formats captured data to match the native structure of your target cloud warehouse.
Data capture tool FAQs
A data capture tool is software designed to automatically extract data from various source systems—such as databases, applications, or mainframes—and move it to a central repository like a cloud data warehouse for analysis, reporting, or storage.
Batch extraction moves large chunks of data on a set schedule (e.g., nightly), which can slow down systems and delay insights. CDC continuously extracts only the data that has changed since the last sync, providing real-time updates with a much smaller system footprint.
Yes. Qlik specializes in highly complex enterprise environments, offering native support and efficient data capture for legacy mainframes, SAP systems, and traditional RDBMS, alongside modern cloud sources.










