Cloud Data Integrator, Talend to Acquire Stitch To Deliver Frictionless Sales Channel

By Sudipto Ghosh On Nov 8, 2018

Cloud Data Integrator, Talend to Acquire Stitch To Deliver Frictionless Sales Channel

Talend Adds New Offering for New Cloud Data Warehouse Users

In a move designed to accelerate its cloud momentum, Talend has announced it has entered into a definitive agreement to acquire Stitch. Stitch is a leader in the fast-growing, self-service data integration market. Stitch offers an easy-to-use service for moving data from popular sources to leading cloud data warehouse platforms. The acquisition gives Talend both a strong solution for the cloud data warehouse market and a frictionless sales motion to land new cloud customers efficiently.

Under the terms of the agreement, Talend will acquire Stitch for approximately $60 million in cash, subject to certain transaction adjustments. The transaction is expected to close later in the fourth quarter subject to customary closing conditions.

Upon closing, Jake Stein will become SVP of the Stitch business unit reporting directly to Talend, CEO, Mike Tuchen.

At the time of this announcement, Mike Tuchen, CEO, Talend, said, “Stitch is a great addition that gives us a compelling offering in the market for simple, self-service integration for cloud data warehouses.”

Mike added, “In addition, we believe Stitch will work as an efficient high-volume way to acquire new cloud customers to whom we can market our advanced cloud solutions for data integration, transformation, cleaning, preparing and cataloging.”

Currently, Talend, a leader in cloud data integration solutions, liberates data from legacy infrastructure and puts more of the right data to work for your business, faster.

As companies standardize on using the cloud for analytics, users increasingly need to load cloud data warehouses and data lakes quickly. Most departments and small businesses lack the bandwidth and sometimes the skill set to use existing solutions, causing delays that lead to missed opportunities and poor customer experiences.

Stitch, which will be rebranded as Stitch Data Loader, overcomes this set of challenges by enabling a broader population of users, including data scientists, data and business analysts, and engineers, to load data without relying on data integration specialists.

“Talend is an ideal fit for Stitch. Their products complement ours, and they share a similar culture and market vision,” said Jake Stein, co-founder and CEO, Stitch.

Jake added, “The move to the cloud and data-driven business is changing the integration market, bringing new users with different needs. With the combination of Talend and Stitch, we believe we become the only vendor that can serve all levels of the market and all users of cloud analytics.”

According to the Gartner Group, the increase in new roles such as data scientist, data engineer, data steward, and others that need access to data is expanding dramatically. In fact, Gartner Group predicts that “By 2020, the number of data and analytics experts in business units will grow at three times the rate of experts in IT departments, which will force companies to rethink their organizational models and skill sets.”

In addition to enhancing Talend’s product portfolio, the acquisition is expected to help strengthen Talend’s value proposition for cloud ecosystem partners including data warehouse partners such as AWS, Azure, Google, and Snowflake.

“Snowflake is pleased that two of our partners are joining forces,” Snowflake CEO, Bob Muglia said.

Bob added, “The combination of Talend and Stitch will provide Snowflake customers with some of the broadest data integration capabilities and help them move their workloads to Snowflake with confidence.”

Talend Cloud delivers a single platform for data integration across Public, Private, and Hybrid Cloud, as well as on-premises environments, and enables greater collaboration between IT and business teams. Combined with an open, native, and extensible architecture for rapidly embracing market innovations, Talend allows you to cost-effectively meet the demands of ever-increasing data volumes, users, and use cases.