SOURCE: Databricks

February 03, 2016 09:00 ET

Databricks Democratizes Data and Reduces Infrastructure Costs for Eyeview

Video Advertising Platform Looks to the Cloud for Scalability and Flexibility

SAN FRANCISCO, CA--(Marketwired - Feb 3, 2016) - Databricks, the company behind Apache Spark, today announced that Eyeview, a video advertising platform that delivers results, has selected Databricks as its primary enterprise data platform. The Databricks platform has simplified big data dramatically for Eyeview by making data analysis accessible to everyone within the organization.

Eyeview provides brands with a higher return-on-investment on their video advertising spend, specifically infusing consumer, brand, and retail data to programmatically deliver personalized one-to-one video content. As the company's data volume surged beyond 100 terabytes at a rate in excess of 1.5 terabytes per day, Eyeview encountered acute scaling and performance problems with its existing legacy system that impeded efficient data mining. A single query across all the user segments often required several hours, which was just not acceptable to its business needs.

To select its next big data partner, Eyeview needed to evaluate a solution for multiple capabilities, including data warehousing, machine learning, and streaming. In addition to the scaling challenges, Eyeview's data scientists and engineers were spending significant time building out the infrastructure to support the spiking demand. With a large portion of its time spent on DevOps duties, the team was not able to devote sufficient effort to innovate with advanced data science techniques.

Databricks has enabled Eyeview to achieve the following results, including:

  • Significant reduction of query times on large data sets by a factor of 10, allowing data analysts to regain 20 percent of their workday.
  • Accelerated ETL process, enabling Eyeview to increase the volume of data ingest by a factor of four.
  • Improved operational efficiency with the Databricks cluster manager to easily spin up or down fully managed Spark clusters so the engineering team can focus on product development rather than time-consuming DevOps.

"Databricks has been a game changer in the way we operate and deliver products to our customers. Their platform has saved us resources, time, and money with an unparalleled level of simplicity, performance, and flexibility. Their partnership has excited everyone within our organization, which isn't an easy feat," said Gal Barnea, chief technology officer at Eyeview.

"Eyeview's influx of data and dynamic needs can feel like an impossible challenge without the right tools," said Kavitha Mariappan, vice president of marketing at Databricks. "The simplicity of Databricks as a cloud hosted data platform has knocked down major barriers for them across their organization -- from scaling their platform with flexibility and ease of use to the elimination of infrastructure costs and making data more accessible internally."

Download the Eyeview Case Study:

For more information on Databricks:

About Databricks:
Databricks' vision is to make big data simple for the enterprise. The company 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 is the largest contributor to the open source Spark project providing 10x more code than any other company. The company has also trained over 20,000 users on Apache Spark, and has the largest number of customers deploying Spark to date. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, contact

Contact Information