Cazena is a leader in Big Data as a Service and is the First Data Lake with a SaaS experience. The company provides the first Big Data as a Service that radically simplifies data and mixed analytics workloads in the cloud.

Cazena’s SaaS Data Lake automates all DevOps and embeds best of breed software from Cloudera, AWS, Microsoft Azure and others to create a production-ready, secure and fully-managed SaaS experience.

Cazena was founded in 2014 by Prat Moghe. The company is headquartered in Waltham, Massachusetts.

Cazena's mission is to radically simplify analytics for enterprises. The company enables enterprises to have supported, production-grade Hadoop/Spark data environments in the cloud, without hiring expensive and hard-to-find DevOps resources.

Cazena’s Data Lake as a Service embeds best-of-breed software from Cloudera, AWS and Azure, and supports a all analytics tools and methods, including Spark, SQL, R, Python, etc. Everything is fully-managed and delivered as a service. It drives outcomes 10X faster for all analytics: ML/AI, data science, data engineering, data warehousing and more.


Cazena solutions include workload management and optimization, guaranteeing the best price-performance for any workload. Cazena supports new cloud Data Lake deployments, hybrid expansions of on-premises data lakes or “lift and shift” migrations to AWS or Azure.


Cazena is backed by leading investors including Andreessen Horowitz, Formation 8, and North Bridge Venture Partners. The company has raised a total of $38M in funding. Their latest fundraising was on Jul 24, 2018, where they cashed $10M from a corporate round.


Cazena Awarded 2019 U.S. Patent in Intelligent Analytic Cloud Provisioning. The company was also recognized in 2018 CRN's top Big Data vendors.



  • Year founded: 2014
  • Funding Info: $38M over 3 Rounds (Latest Funding Type: Corporate Round)
  • Yearly Revenue: $5M-$10M (2019)
  • Employee Size: 11-50
  • Business Valuation: NA
  • City/Town: Waltham
  • State: Massachusetts
  • Country: United States
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