Companies Team to Deliver Extreme Big Data Agility in the Cloud
REDWOOD CITY, Calif, May 24, 2017 – Talend (NASDQA:TLND), a global leader in cloud and big data integration software, announced it is working with Cloudera as the first integration provider to support Cloudera Altus, a newly released Platform-as-a-Service (PaaS) offering that simplifies running large-scale data processing applications in the public cloud. Companies can use combination of Altus and Talend technology to reduce overall data management costs, accelerate, and simplify hybrid, on-premises, and cloud big data projects.
“We’re excited about Altus because it allows companies to deploy big data projects dramatically faster with far less operational support,” said Michael Pickett, vice president, Business Development and Partner Ecosystems, Talend. “Talend is extending this value proposition by making it incredibly easy to build and seamlessly deploy intelligent data pipelines onto the Altus platform.”
The initial Altus service targets foundational data transformation and processing workloads while minimising cluster management and operations. Altus provides users with familiar tools packaged in an open, unified, enterprise-grade platform service that delivers common storage, metadata, security, and management across data sets. The service allows enterprises to easily spin up/spin down Cloudera clusters without the steep learning curve often associated with cloud.
“Talend's partnership with us is making it easy for thousands of data sources to be made available on the Altus platform and to simply execute data pipelines against those ingested data sets,” said Tom Pinckney, Head of Business Development, Cloudera. “By integrating with Altus, Talend is ensuring that our joint customers can seamlessly get up and running on the Cloudera platform - speeding their time to value. This is a big win for customers who will now have the ability to quickly and easily build and run elastic data pipelines on the trusted Cloudera distribution that feeds complex BI, data science, and real-time applications.”
Using Talend’s simple, intuitive, user interface, developers can build intelligent data pipelines on the Altus platform and leverage all its capabilities for managing and monitoring big data applications in the cloud. Using Talend, Cloudera customers can transparently build big data integration jobs that can run both on-premises and in the cloud. For Amazon Web Services customers, Cloudera Altus translates into added value, making it easier for organisations to add big data to their existing cloud data management infrastructure.
Talend Data Fabric is a unified integration platform that helps enterprises run big data processing when and where they need it — on-premises, hybrid or in the cloud — with the best response time, lowest latency, and most cost-effective use of resources. With Talend, organisations can quickly and intuitively build data pipelines leveraging best-of-breed cloud and open source technologies such as Cloudera, Amazon Kinesis, Apache Kafka, S3, Spark-streaming, and much more. To learn more about how Talend Data Fabric is supporting Cloudera Altus to accelerate big data workloads in the cloud, visit: https://www.talend.com/solutions/information-technology/cloudera-altus-integration/.
Talend (NASDQA:TLND) is a next-generation leader in cloud and big data integration software that helps companies make data a strategic asset that provides realtime, organisation-wide insight into customers, partners, and operations. Through its open, adaptive, and unified integration platform, Talend delivers the data agility required for companies to rapidly adopt the latest technology innovations and scale to meet the constantly evolving demands of modern business. A leader in the 2016 Gartner Magic Quadrant for Data Integration Tools and Forrester Wave: Big Data Fabric Q4 2016, Talend’s solutions support over 1500 global enterprise customers including Air France, GE, and Lenovo, across a range of industries. For more information, please visit www.talend.com and follow us on Twitter: @Talend