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Yesware Deploys Production Data Pipeline in Record Time With Databricks

Apache Spark-Powered Data Pipeline Delivers Richer Insights, Faster and With Greater Efficiency

July 23, 2015
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SAN FRANCISCO, CA--(Marketwired - Jul 23, 2015) - Databricks, the company behind Apache Spark, today announced that Yesware, the leading sales acceleration software for sales teams at enterprises such as eBay, New Relic, and IBM, has selected the Databricks platform to build its production data pipeline for faster processing speed, more flexible APIs, and infrastructure efficiency. In deploying Databricks, Yesware acquired an improved production pipeline that delivers a richer set of customized metrics to their customers while reducing the time to build infrastructure from six months to three weeks.

Built for sales professionals, Yesware enables its users to have more effective and successful sales engagements by providing analytics on their daily interactions with potential customers using billions of data points, including open and reply rate of emails, effectiveness of email templates, engagement rates of e-mail CTA click-throughs, and more. Without Apache Spark on Databricks, Yesware struggled with the volume and complexity of inbound data, finding it impossible to curate customized insights for its customers while achieving high performance and reliability. The company needed a powerful solution that could quickly process and aggregate enormous volumes of complex data on the fly to produce up-to-date custom reports for their users. Yesware also needed the solution to be reliable and simple enough to maintain so that their employees can focus on building product features instead of becoming infrastructure experts.

To help address these challenges, Yesware implemented Databricks to enable the management of Spark clusters and deployment of production data pipelines, proving to be faster and easier than alternatives. Some of the benefits include:

  • Data pipeline deployment speed: The previous data pipeline took Yesware almost six months to build due to its complexity. With Databricks, Yesware deployed its first Spark-based project in less than three weeks.
  • Processing speed: The previous data pipeline required 12 hours to process 90 days of data, whereas Databricks processed 180 days of data in two hours.
  • Infrastructure efficiency: The Databricks data pipeline can be operated with a cost basis of less than 10 percent of the previous data pipeline with improved utilization of the Spark infrastructure and AWS Spot instances.

"The productivity of our engineers and data scientists are much higher because of the features built into Databricks, complex projects that used to take days can now be done in an afternoon," said Cashman Andrus, CTO at Yesware.

"More and more of our customers are coming to us with the urgent need to solve the data processing problem end-to-end, from ingest to production. By providing a complete, cloud-based solution that directly addresses the challenges in data import, exploration, and production at scale, our customers like Yesware can reap tremendous benefits from a cutting-edge technology stack such as Apache Spark instantly, without operational headaches," said Kavitha Mariappan, Vice President of Marketing at Databricks.

Download the Yesware Case Study:
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Company Overview

Databricks' vision is to dramatically simplify big data processing. It was founded by the team that created and continues to drive Apache Spark, a powerful open source data processing engine built for sophisticated analytics, ease of use, and speed. Databricks offers a cloud platform that makes it easy to turn data into value, from ingest to production, without the hassle of managing complex infrastructure, systems and tools. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, visit

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