Attunity Wins Over $2 Million in Additional Business With a Global Bank

- December 5th, 2018

Attunity (NASDAQCM:ATTU) announced that its existing customer has purchased additional solutions worth over US$2 million. The company engaged in data integration and big data management announced that the term deal expands the use of its solutions, Attunity Replicate and Attunity Enterprise Manager to facilitate modern analytics. As quoted in the press release: The Bank, which … Continued

Attunity (NASDAQCM:ATTU) announced that its existing customer has purchased additional solutions worth over US$2 million.

The company engaged in data integration and big data management announced that the term deal expands the use of its solutions, Attunity Replicate and Attunity Enterprise Manager to facilitate modern analytics.

As quoted in the press release:

The Bank, which began its modern analytics initiative two years ago, decided to expand it to integrate additional data from a larger variety of systems including Kafka and mainframe. While it had also been using alternative data integration products, the team selected Attunity for the next phase of its strategic data lake initiative because of the solution’s ability to automate the integration process and stream data across multiple heterogeneous systems quickly and easily. The Bank has also chosen the Attunity platform for its agentless, low-impact change data capture (CDC) technology. These innovations are expected to accelerate the Bank’s analytics initiative.

We continue to see great momentum and expansion in our business and this additional contract with an existing world-class customer is further evidence of that,” stated Mark Logan, Attunity President. “Our ability to manage complex data integration with ease to facilitate the most strategic data lake and cloud analytics initiatives is keeping us top of mind with the largest and most sophisticated companies in the world. This is a positive trend in that such enterprises think of Attunity first to solve their toughest data integration challenges.”

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