Attunity Replicate: Best Change Data Capture Solution

Attunity Replicate: Best Change Data Capture Solution

Attunity Replicate Recognised as Best Change Data Capture Solution in DBTA’s 2016 Readers’ Choice Awards

For the second successive year, Attunity Replicate was chosen as the Best Change Data Capture (CDC) Solution in the 2016 Database Trends and Applications (DBTA) Readers’ Choice Awards.

DBTA Readers Choice best change data capture

 

The DBTA Readers’ Choice Awards are selected each year by the readers of Database Trends and Applications magazine and DBTA.com. In total, there were 28 categories this year in which products could be nominated and voted upon. Readers chose their favorite CDC solution based on its efficiency, robustness, ability to provide real-time information, support for many data sources, and affordability.

“Data is being increasingly recognised as a valuable enterprise asset,” said Tom Hogan, Group Publisher, Database Trends and Applications magazine. “And, to help organisations leverage that data and gain meaningful insights, there is an expanding array of solutions for storing, protecting, integrating, enhancing and analysing data. The DBTA Readers’ Choice Awards play a key role in spreading information about products, such as Attunity Replicate, that are providing a unique value to customers. Our congratulations go out to Attunity and all the winners and finalists.”

“Change data capture (CDC) is critical today in enabling timely data availability to support business operations and Big Data analytics,” said Itamar Ankorion, Chief Marketing Officer and Executive VP Business Development at Attunity. “We are honored to be recognised by DBTA readers for a second consecutive time, further demonstrating the importance of this technology and our innovation in delivering market-leading solutions. We continue to focus on enhancing the value that Attunity Replicate provides our customers, as they look to benefit from unified data replication and ingest across their IT landscape of databases, data warehouses, Hadoop data lakes, and the cloud.”