Talend Unveils Innovative Cloud Solution to Automate Big Data Integration in AWS Environments

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talend logo_NEWTalend, a global leader in big data integration software, released a new version of its Talend Integration Cloud , a secure, Integration Platform-as-a-Service (iPaaS) solution designed to help companies more easily manage on-premises, cloud and hybrid integration workloads in their AWS environments. Available now, the new release allows IT organizations to execute big data and data integration projects running on AWS Redshift or AWS Elastic Map Reduce (EMR) with fewer resources and at a reduced cost. The updated Talend Integration Cloud solution also enables developers and architects to bring native Spark processing capabilities into an iPaaS solution in order to empower departments across the enterprise with real-time analytics.

The continued growth of big data, the ‘Internet of Things’ (IoT), and expanding corporate data lakes is driving companies to move an increasing percentage of data processing to the cloud. In fact, Gartner expects that enterprise iPaaS will continue to grow at a double-digit rate over the next five years [1]. Talend Integration Cloud delivers the fast, scalable, elastic, and secure technology businesses need to keep pace with their growing stores of data and transform that information into real-time insight.

With data volumes continuing to double in size every two years, it’s increasingly expensive for customers to scale, support and analyze all that data on-premises. This is why we continue to accelerate the power of our platform with native support for Spark and expand the breadth of use-cases we support,” said Ciaran Dynes, vice president, products, Talend. “With Talend Integration Cloud on AWS, customers can increase productivity and agility of their IT and business units with powerful tooling and optimized integrations.”

Key features and benefits of the newest version of Talend Integration Cloud include:

  • Automation of AWS EMR and Redshift jobs helps IT teams execute big data integration projects faster and control costs.
  • Apache Kafka, Spark Batch, Streaming, and Spark MLlib (machine learning) capabilities allow IT teams to enrich their real-time analytics, and quickly build end-to-end intelligent data pipelines connecting sensors, weblogs, clickstreams and other big data sources
  • Ability to scale and optimize hybrid integration patterns enabling IT to expand structured and unstructured data sets without over-extending budgets.
  • Improved visibility and control of enterprise cloud environments increasing IT’s ability to scale resources, better manage deployments with improved job scheduling, monitoring, clustering and optimized integration workflows, as well as quickly pinpoint and correct any errors.

One of the major challenges companies face today is integrating silos of disparate data found on-premises and in the cloud to improve customer insights,” said Mick Bass, CEO, 47Lining. “Businesses that are looking to make their organizations more data-driven need to extend integration processes to the cloud. Our strategic partnership with Talend helps enable our customers to rapidly develop and deploy simply managed hybrid Hadoop and data warehousing jobs leveraging elastic, scalable AWS resources.”

As the volume and variety of data increases, more companies are incorporating the use of real-time messaging brokers or data processing engines such as Apache Spark Streaming, Amazon Kinesis, and Apache Kafka instead of utilizing legacy streaming architectures. Talend is prepared to support customers as the nature of real-time hybrid integration patterns continues to evolve.

Hybrid clouds promise to lower the cost and effort of deployment and speed time to value for workloads of all types, but can disappoint unless they are properly integrated,” said Carl Lehmann, hybrid IT analyst, 451 Research. “Since AWS Redshift and EMR are common to many data warehousing and Hadoop cloud deployments, IT teams can benefit from technology now offered by Talend to launch and extend them to unify company data and enable hybrid cloud architecture.”

[1] Magic Quadrant for Enterprise Integration Platform as a Service, Worldwide,” Gartner Research, 23 March 2015.


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