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Celtra Scales Big Data Analysis Projects Six-Fold with Databricks Cloud

Company Adopts Spark-Based Platform for Speed, Scalability and Ease-of-Use

April 15, 2015
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SAN FRANCISCO, CA--(Marketwired - Apr 15, 2015) - Databricks, the company founded by the creators of the popular open-source big data processing engine Apache Spark with its flagship product, Databricks Cloud, today announced Celtra Inc., the leading creative technology company for data-driven brand display advertising across mobile, tablets and desktop, has implemented Databricks Cloud for its ability to analyze data rapidly from a wide array of data sources while maintaining an easy to use and collaborative environment for its team members. By deploying Databricks Cloud, Celtra has been able to scale the number of its big data projects by sixfold in four months, enabling quick and insightful data-driven decisions across the company.

Celtra provides agencies, media suppliers and brand leaders with cross-screen HTML5 technology for brand display advertising. The company needed a fast and scalable big data platform to support its myriad of analysis projects. The solution needed to be user-friendly enough for non-engineering personnel to leverage, enabling teams outside of analytics to drive exploratory data projects themselves and run the experiments with more agility.

"The data we collect isn't just large in size, but also very complex and diverse. Analyzing it is instrumental to our mission of helping customers power the creative side of their campaigns, so it's key that we can dig in easily and quickly," said Jaka Jančar, Chief Technology Officer at Celtra. "Databricks Cloud enables us to do just that, and has already proved its value in the four months since deployment."

Celtra adopted Databricks Cloud as the centralized analytics platform to address speed and ease-of-use concerns, improve product design, troubleshoot quickly, and fine-tune the performance of production systems. Key areas of implementation include:

  • Zero Management with Apache Spark: Databricks Cloud provides a zero-management platform on Amazon Web Services (AWS) to host Spark clusters, the powerful open source data processing framework built for speed and scale.
  • Connection to Diverse Data Sources: Databricks Cloud provides built-in APIs to access data from AWS S3, relational databases and other sources.
  • Easy-of-Use Multi-User Environment: Intuitive, multi-user interactive workspace for real-time analysis and visualization, enabling teams other than analytics, such as engineering, product management, and quality assurance, to work with data directly in a single environment.

"Databricks Cloud is a great fit for the growing advertising technology space where marketers place strict requirements on real-time processing of data from diverse sources," said Kavitha Mariappan, vice president of marketing at Databricks. "Enabling Celtra to quickly and repeatedly go from experimental data processing to feature productization is incredibly rewarding for us and validates the value that our Databricks Cloud platform brings to the advertising technology community."

For more information on Databricks Cloud, visit:

About Databricks:

Databricks was founded by the team that created and continues to drive Apache Spark, the most active open source project in the Big Data ecosystem. Apache Spark is a powerful open source data processing engine built for speed, ease of use, and sophisticated analytics. Databricks' vision is to dramatically simplify big data processing and free users to focus on turning data into value. Databricks Cloud is a hosted end-to-end data platform powered by Spark. It enables organizations to seamlessly transition from data ingest through exploration and production. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, visit

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