The new offering is designed to automate real-time change data capture, delivery and refinement for analytics, with live demonstrations at AWS re:Invent 2018
BURLINGTON, MA – Attunity Ltd. (NASDAQ CM: ATTU), a leading provider of data integration and big data management software solutions, announced a new solution today, Attunity for Data Lakes on Amazon Web Services (AWS) designed to automate streaming data pipelines on AWS. The offering is designed to support streaming real-time data from major enterprise databases, mainframes, and applications such as SAP, to accelerate near real-time analytics, machine learning (ML) and artificial intelligence (AI) initiatives. These new capabilities are being demonstrated live this week in Attunity booth 630 at AWS re:Invent 2018.
Enterprises are moving to cloud data lakes as they provide greater agility and elasticity but continue to be challenged to efficiently create analytics-ready data sets from heterogeneous data sources. Such integration can be a manually intensive and complex endeavor, challenging to assemble and often resulting in outdated data when it’s finally ready for business consumption. Attunity helps overcome these challenges with a solution leveraging Apache Spark technology to further accelerate and automate data pipelines – from the generation of source system data streams right through to the creation of analytics-ready data sets.
Attunity’s support for data lakes on AWS helps enterprises to:
Customer Fanatics shared its success to date using Attunity for data ingestion to a data lake on AWS:
“With Attunity, we’re able to better analyze immense data volumes from disparate applications including our e-commerce, transactional and back office systems. It has provided new efficiencies by making our data available immediately on a data lake on AWS, ultimately expediting the analytics process and allowing access to the freshest data possible for real-time decision making,” said Kiran Nagarur, Vice President, Data Science and Engineering at Fanatics.
“With this new data pipeline automation offering, Attunity for Data Lakes on AWS, we continue to strengthen our relationship with AWS, empowering enterprises to easily and quickly automate their data lakes for more timely analytics,” said Itamar Ankorion, Chief Marketing Officer at Attunity. “Our Attunity for Data Lakes on AWS solution will help our customers to continually reap the benefits of having their data on AWS, and allow for real-time analytics using data we make available in Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Kinesis, Snowflake, and other analytics data infrastructure running on AWS.”
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Attunity, a division of Qlik, is a leader in modern data integration enabling enterprises to employ DataOps for analytics to drive transformative insights for better business outcomes. Attunity’s Data Integration platform accelerates the discovery and availability of analytics-ready data by automating real-time data streaming, refinement, cataloging and publishing. Attunity empowers companies to lead with data, uncover revenue opportunities, improve customer services and further their overall data literacy.
Trusted by Fortune 1000 enterprises, Attunity provides software directly and indirectly through partners including Amazon Web Services, Microsoft, Google, SAP, Oracle, IBM and Hewlett Packard Enterprise. For more information, visit www.attunity.com.
Qlik’s vision is a data-literate world, one where everyone can use data to improve decision-making and solve their most challenging problems. Only Qlik offers end-to-end, real-time data integration and analytics solutions that help organizations access and transform all their data into value. Qlik helps companies lead with data to see more deeply into customer behavior, reinvent business processes, discover new revenue streams, and balance risk and reward. Qlik does business in more than 100 countries and serves over 50,000 customers around the world.
© Attunity 2018. All Rights Reserved. Attunity is a registered trademark of Attunity Inc. All other product and company names herein may be trademarks of their respective owners.