Saturday, 20th July 2019
Logo

Talend to extend its Integration Platform as a Service to Microsoft Azure

Talend says that Talend Cloud, a unified, comprehensive, and highly scalable integration platform-as-a-service (iPaaS), will be available on Microsoft Azure starting in Q3 2019. Talend Cloud on Azure will benefit all companies who have selected Azure as their cloud platform of choice by providing better performance and additional options for modern data integration needs.

“We look forward to being an early adopter of Talend Cloud on Azure later this year,” said René Greiner, Vice President for Data Integration, Uniper SE. “Talend has helped us connect and govern diverse data sources with speed, trust, and reliability in order to comply with the many regulations we face in our industry. We anticipate that the performance and connectivity options from Talend Cloud on Azure will enable us to optimize the many Azure services we currently use.”
Talend Cloud’s containerized architecture will bring robust and seamless integration capabilities to the Azure platform. Customers will experience improved performance and enhanced connectivity to Azure services.

Complete iPaaS solution
Talend Cloudmakes it easy to collect, govern, transform, and share data. Within a single interface, companies can use data integration, big data integration, and data quality capabilities to provide trusted and governed data across the organization.
Customers across all industries choose Talend Cloud for their cloud data lake and cloud data warehouse projects because it offers more than 900 connectors and components, built-in data quality, native support for the latest big data and cloud technologies, and software development lifecycle (SDLC) support for enterprisesat a predictable price.
“For customers who have selected Azure as their cloud of choice, they will now have the option of using Talend Cloud running native on Azure to speed their business transformation,” says Mike Pickett, SVP of Business Development at Talend. “We are happy to continue to extend our collaboration with Azure to create the most seamless integration experience for our customers.”
“We are pleased to welcome Talend Cloud to Azure,” said John Chirapurath, general manager of Azure Data Product Marketing at Microsoft Corp. “Companies are using Azure SQL Data Warehouse and Talend to transform and optimize their businesses, leveraging the elasticity and analytics services available in Azure.”
Talend has also announced it will support the newly announced Delta Lake, a new open source project from Databricks. Talend Cloud, a unified, comprehensive, and highly scalable integration platform-as-a-service (iPaaS), will natively integrate data from any source to and from Delta Lake, providing a reliable, unified environment for batch and streaming data at scale to enable a wide variety of analytical and operational use cases.
Talend Cloud will seamlessly integrate data to and from Delta Lake, leveraging its ACID compliance, Time Travel (data versioning), and unified batch and streaming processing. In addition to connecting to a broad range of data sources, including popular SaaS apps and cloud platforms, Talend will empower Delta Lake users with comprehensive data quality and governance features to support machine learning and advanced analytics, natively supporting the full power of the Apache Spark technology underneath Delta Lake.
“Data reliability in data lakes has prevented organizations from fully realizing the potential of their data,” said Ali Ghodsi, cofounder and CEO, Databricks. “ Delta Lake, as an open source project, provides a thriving environment for the community to create solutions that address the data quality challenges within data lakes. Talend has always been at the forefront of open source integration and we look forward to their contributions. Our continued partnership allows our joint customers to accelerate their data engineering and machine learning initiatives.”
Talend’s extended support for Spark connectors will provide several benefits to Delta Lake, including:
  • Better data consistency from leveraging Talend’s native data quality capabilities with Delta Lake ACID transactions
  • Easy rollbacks and reprocessing because of Talend’s integration to Delta Lake Time Travel and data versioning capabilities
  • High-volume processing at scale due to Talend’s support of the Delta Lake scale-out architecture
Delta Lake brings reliability to data lakes by managing transactions across streaming and batch data and across multiple simultaneous readers and writers. Delta Lake can easily work with any existing data lake, enabling organizations to gain data reliability with minimal change to their data architectures. As a result, developers can have hundreds of applications reliably upload and query data at scale.
“Talend’s support for Delta Lake is a natural extension of our expertise in unifying batch and streaming data for organizations,” said Mike Tuchen, CEO, Talend. “From our founding, Talend has always embraced innovative technologies that make it effortless to transition to modern data architectures. We are committed to continuing to help companies process data at scale in the cloud and Delta Lake addresses a significant gap toward optimizing analytics for massive data pipelines.”
Launched in December 2018, EVOLVE is a €14 million Innovation Action comprising of 19 organisations...
Less than one third (31%) of data specialists, including data analysts, data scientists and data qua...
On average less than 40% of companies in Europe, the Middle East and Africa (EMEA) are confident the...
By 2022, 75% of all databases will be deployed or migrated to a cloud platform, with only 5% ever co...
Following the success of Snowflake’s sold-out inaugural user conference, Snowflake Summit on June 3-...
GridGain Systems has launched the GridGain Data Lake Accelerator, an in-memory solution for digital...
WHISHWORKS reveals results of 2019 Big Data Survey with in-depth look at trends and challenges.
Exasol’s new sports analytics package enables teams to get near real-time insights to improve rankin...