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Cazena: The First Enterprise Big Data-as-a-Service (BDaaS)

Cazena just raised $20 million series B, making it the first big data-as-a-service. The secret to their success lies in their use of the cloud for processing data.

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This past Tuesday, Cazena announced that they had raised $20 million in Series B to fund their Big Data-as-a-Service (BDaaS) solutions for the enterprise.

"Cloud is the next frontier for big data processing, yet complexity and security concerns hold most large enterprises back,” said Prat Moghe, founder and CEO of Cazena, said in the company's press release. “Cazena’s Big Data-as-a-Service is the first managed cloud service for big data processing that securely and seamlessly extends the enterprise datacenter with trusted cloud infrastructure and multiple, best-of-breed big data technologies. This assures the best price and performance for any big data workload, so enterprises can focus their efforts on delivering value, not managing technology.”

Cazena plans to launch three BDaaS solutions:

  1. Data Lake-as-a-Service

  2. Data Warehouse-as-a-Service

  3. Sandbox-as-a-Service.

Cazena states that each of their solutions can be "deployed in three clicks, at a fraction of the cost of market alternatives" and also plans to partner with Cloudera, powered by Apache Hadoop, to power its data lake-as-a-service solution. 

"Cloudera has set a new standard with our enterprise data hub offering and we are excited to partner with Cazena to further reduce complexity and time to value for our mutual customers,” said Tim Stevens, vice president, business and corporate development at Cloudera.

The secret to what Cazena is offering is their use of the cloud with data processing. Whereas security, data movement and complexity have been obstacles in the way of enterprises adopting cloud and big data, Cazena aims to confront and overcome these concerns with:

  • Workload Intelligence: Provisions, optimizes and continually manages cloud infrastructure and best-of-breed data technologies (Hadoop, MPP SQL, Spark, etc.) to guarantee workload SLAs
  • End-to-end Automation: Moves data efficiently and runs analytic workloads in the cloud, with connectors for enterprise tools and data sources
  • Security and Privacy: Integrates an encrypted data cloud into the enterprise using strong security, governance and compliance controls

Many cloud services offer capabilities that are perfect for big data processing and analytics, like Google's BigQuery, but have yet to offer a set of solutions that are more than just add-ons to their cloud platforms, so it appears that, for now, Cazena is the first and only of its kind.

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Topics:
big data ,cloud ,data warehousing ,hadoop

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