ATTUNITY LTD in Data Integration Software

Attinuity is a global player, having a significant industry reach for its data integration product portfolio. The company with its diverse product portfolio in data integration, along with data management and data warehouse, covers different aspects of information integration for an enterprise. Looking at the company’s approach toward organic growth, it has spent a significant amount of its revenue in R&D, which amounted to 23% in 2015. With continuous product developments and new product launches, the company is committed to diversifying its offerings in the data integration market. In this pursuit, in November 2016, the company introduced Attunity Compose for Amazon Redshift, a data warehouse automation solution for AWS. This offering, designed to automate the complex and time-consuming ETL and data warehousing process, helps enterprises reduce the manual coding typically required to design and load data warehouses in the cloud architecture. The company continues to engage in organic growth by introducing new solutions in the market and updating its existing portfolio. Moreover, the company extensively leverages from its inorganic growth strategy, which includes partnerships, collaborations, acquisitions, and reseller agreements, expanding the geographical and industry reach of the company. In this pursuit, Attunity partnered with Microsoft in June 2016, to enable faster and easier adoption of Microsoft SQL Server 2016. Another inorganic development observed was the reseller agreement of Attinuity with Teradata in October 2015. With this agreement, Teradata customers could purchase Attunity products, as a part of Teradata big data analytics solutions. Another key development from the company includes the acquisition of Appfluent Technology, Inc., the US-based leading provider of data usage analytics for big data environments, including data warehousing and Hadoop in March 2015. This acquisition enabled Attunity to offer a product suite that analyzes Big Data usage patterns and then moves large data volumes and processing workloads to Hadoop.