Data lakes are the modern enterprise platform on which data architects, analysts and scientists address modern big data use cases such as fraud detection, real-time customer marketing, trend analysis, IoT and more. Whether on-premises or in the cloud, data lakes are a critical part of data management infrastructures.
As enterprises build data lakes, they often struggle to ingest data from many sources due to the reliance upon manual scripting and disparate collections of open-source data loading tools, such as Apache Sqoop.
Qlik Replicate™ (formerly Attunity Replicate) provides an easy and scalable data ingest platform that supports many source database systems, delivering data efficiently and ensuring high performance to different types of data lakes.
Simplicity – no coding. Use an intuitive and configurable GUI to quickly and easily set up data feeds with no manual coding.
Large Scale. Scale to ingest data from hundreds and thousands of databases, providing centralized monitoring and management capabilities.
Support for many source systems. One unified replication platform supports many types of sources including all major RDBMS, data warehouses, and mainframe systems.
High performance and low risk. Gain optimized and certified integration into all Hadoop distributions – Cloudera, Hortonworks, MapR, as well as Kafka and Cloud platforms.
For the highest possible performance, ingest incremental datasets continuously and efficiently with enterprise-class change data capture (CDC) that delivers data immediately, with near linear scalability, and virtually zero latency.
Learn more about data lake pipelines
Automate your data pipeline and increase the value of your data lake by delivering timely, high-quality and well-governed transactional data to the business.