Please Welcome BIReady to the Attunity Portfolio

I am excited to share the news that Attunity has just completed the technology acquisition of the data warehouse automation company, BIReady. This unique and innovative addition to the Attunity portfolio adds strength to Attunity’s offering and even more value for our customers who want to reduce total costs of implementing and maintaining a data warehouse while accelerating their time-to-value.

Over the last few years, one of our main areas of focus has been on innovating the way that data gets loaded into a data warehouse. One example of this is our “Click-2-Load” solution that is based on Attunity Replicate. To develop this, we worked with many enterprise organizations to help them reduce their dependency on a large staff of ETL developers as well as simplify the process of making data available for BI and analytics. As we were automating the loading process, our customers asked us if we could help them automate the next step in the process as well. First, we partnered with BIReady. Now, we have acquired their technology to ensure a seamless, end-to-end experience that completely changes the game for customers struggling with traditional time-consuming data warehousing work.

What does Attunity BIReady Do?

Attunity Compose automatically designs, generates and populates enterprise data warehouses and data marts. It also adds data modeling and structuring capabilities inside the data warehouse. This helps with data warehousing by delivering information for near real-time analytics significantly faster than it takes using traditional complex, manual modelling methods.

Working together, Attunity Replicate and Attunity BIReady provides our customers with the ability to extract data from the data warehouse AND to manage the analytic logics in the data warehouse. For more information on Attunity BIReady, please take a look at the:

Keep up with the latest insights to drive the most value from your data.

Get ready to transform your entire business with data.

Follow Qlik