The success and cost of critical IT initiatives, ranging from data migration and data warehousing to master data management and real-time business intelligence, is highly dependent on how data integration processes are implemented. A data integration platform makes it easier to carry out and even accelerate deployment of these and other initiatives by providing you with high-performance tools for collecting, filtering, processing, and moving different types of data from and across your various data stores.

A data integration platform is more than a simple database migration tool -- it's a set of technologies that help you create data pipelines. A complete data pipeline should include a data ingestion framework for connecting to different applications and systems, database replication software for copying and converting database objects and data into other formats, data transport architectures, and a graphical process designer.

Key Features to Look for in a Data Integration Platform

Instead of relying on embedded DBMS replication tools and manual ETL coding to implement data integration tasks, more firms are now choosing to leverage database-agnostic data integration platforms. With one unified data integration platform, you can extract, filter, transform, distribute, aggregate, and synchronize data across multiple data stores faster and more efficiently. In addition to providing support for a variety of data formats and data sources and targets, here are some key features to look for in a data integration platform:

  • Low-impact change data capture. Log-based change data capture technology enables low-latency data replication and real-time data integration without impacting the performance of source systems.
  • Ease of use. User-friendly graphical user interfaces and task-oriented wizards simplify configuration, accelerate implementation, and lower the total cost of ownership of a data integration platform. Manual coding should not be required.
  • Scalability and flexibility. Being able to scale up as your data volumes grow and support rapidly evolving use cases and new technologies are essential capabilities for big data integration projects. This includes enterprise-wide monitoring and control of replication processes.

A Unified Data Integration Platform for the Agile Enterprise

At Qlik (Attunity), we continue to redefine "what is data integration" for the data-driven enterprise, developing innovative tools and technologies that are powerful, easy-to-use, and versatile. Enterprises are collecting and analyzing a greater volume and variety of data than ever before, and they need a data integration tool that allows them to not only work with a variety of data formats and data storage platforms—in dynamic, hybrid computing environments—but also streamline data pipeline development. Qlik Replicate (formerly Attunity Replicate) does just that.

Our simple, universal and real-time data integration platform combines our robust, flexible data ingestion framework with high-performance data replication and loading capabilities that include next-generation change data capture technology. Qlik Replicate (formerly Attunity Replicate) automates replication processes end-to-end—including target schema generation—across all major relational databases, data warehouses, and Hadoop distributions in your data center or the cloud. So whether you need a Hadoop data integration tool or an easy, affordable way to migrate data from SQL Server to Oracle, our data integration platform can provide you with the capabilities you need in a quick-to-deploy package that makes your job simpler, faster, and more efficient.