The First SaaS Data Lake on AWS

Automated and Managed to Reduce Costs, Reduce Risks and Accelerate Outcomes

​​Enterprises rely Cazena’s SaaS Data Lake on AWS for all analytics, data ML/AI and data engineering. Cazena is delivered as single-tenant private SaaS solutions with subscriptions that include everything: AWS infrastructure, storage, databases, analytic engines, security and 24x7 operations.
Everything is automated, secured and managed 24x7 -- no admin time or DevOps skills required. Cazena has tools and templates that simplify AWS cloud migrations, even from datacenters or complex environments. Now, enterprise teams can easily use AWS for all analytics and securely connect global users, tools and data. 
  • Easily use AWS for a wide range of data and analytics workloads: Get production-ready SaaS Data Lakes, optimized for all analytics. Cazena is delivered as private SaaS, optimized for your team's unique set of workloads.
  • Scale with automation: Cazena makes it easy to migrate workloads to AWS, reducing TCO and admin requirements. Cazena's delivery model enables global accessibility for analytics and simplifies connections with tools and data sources. 
  • Get the best price-performance: Private SaaS Data Lakes are optimized to deliver the ideal price-performance for your unique set of workloads. Get the most cost-effective environments for your current data and analytics workloads, without any complexity. 
  • Rely on the enterprise-grade security: Cazena's cloud Data Lakes on AWS include end-to-end operations and high-end security, with 24x7 monitoring, vulnerability assessment, automatic patching and upgrade testing.

ISVWorkloadMigration_0.pngCazena Named a Key Partner for AWS Migrations 

We are proud to announce that Cazena has been named among the first Amazon Web Services (AWS) Partner Network (APN) Partners for the launch of the ISV Workload Migration Program (WMP). The program helps companies migrate Independent Software Vendor (“ISV”) workloads to AWS so they can achieve business goals faster and accelerate their cloud journey.

Read the press release on our news page >>

See a complete list of AWS Workload Migration Partners >>

Cazena SaaS Data Lake as a Service - Starter Edition on AWS Marketplace

Enterprises can quickly get a Cazena SaaS Data Lake on AWS, via the AWS Marketplace. The Cazena Data Lake as a Service with Cloudera - Starter Edition is designed for fast POCs and evaluations on AWS.​


Cazena's Data Lake as a Service on AWS Marketplace offers many benefits: 

  • Start quickly, without any specialized skills for cloud, data ops or security.
  • Delivered ready for data ingest and analytics, with everything you need.
  • Subscribe via AWS Marketplace, for seamless procurement and fast access. 

Learn more and request a private offer code for 75% off the list price of the Data Lake as a Service - Starter Edition >

View the AWS Marketplace listing > 

Customer Success on AWS



CWT (formerly Carlson Wagonlit Travel) is the world's leading digital travel management firm. CWT relies on a SaaS Data Lake as a Service AWS for a wide variety of data science and analytics.

"We would have to hire a minimum of seven people to have 24/7 coverage like Cazena’s."

- Craig Haughan, VP Data, CWT


Worthington Industries is North America’s premier value-added steel processor, providing a broad set of capabilities, products and services for a variety of markets including automotive, construction and agriculture.

"The SaaS Model for the Data Lake is important for us. My team previously spent a large portion of our time on troubleshooting platform performance, wrestling with security and connectivity issues, and managing upgrades. It was difficult to find qualified resources to help. We can now focus our time on the data engineering and analytics activities that will drive real value for our business."
- Ken Kaufman, Director of BI and Analytics, Worthington Industries
Learn More

Contact us to learn more about Cazena's SaaS Data Lake on AWS:



Use Cases for SaaS Data Lakes on AWS

Cazena offers SaaS Data Lakes on AWS for all analytics workloads -- from BI to AI and beyond. Cazena’s intelligent provisioning automatically installs, configures and optimizes every SaaS environment to deliver the best price-performance. Users see a simple Cazena interface, without dealing with cloud infrastructure, enterprise security or platform configuration. Cazena optimizes for workloads and budget, so you get the best price-performance, with no complexity.  

Accelerate ML, AI and Data Science 

The Cazena SaaS Data Lake is ready for all analytics and data engineering workloads. Many teams use Cazena's SaaS Data Lakes to quickly expand capabilities and support analytics using R, Spark, Python and more. 

  • Get a flexible turnkey data science environment on AWS that allows you to do a wide range of analytics including SQL, R, Python, Java, etc.; run models at cloud-scale without having to manage or maintain the underlying technology platform. 
  • Stay focused with unconstrained analytic environments that are optimized and fully supported "as a service," including security, patching, upgrades, backup/restore, etc.

Learn more about Data Science on SaaS Data Lakes >>


Streamline Cloud Migrations 

As the first SaaS Data Lake, Cazena offers specific software automation and expertise for data and analytics migrations, which often require additional DevOps skills for connecting to data sources and tools, and optimizing performance. 

  • Migrate to the cloud in < 4 weeks, using Cazena's automation. Get instant access to a SaaS Data Lake, optimized for all analytics.
  • Scale to the cloud with automation, not manual effort. Reduce costs and operations requirements with SaaS.
  • Instantly improve access and capabilities for global teams, with the security and compliance required for enterprises. 

See the timeline and sign up for the 4 Week SaaS Data Lake Pilot >>


Optimize Analytics, Business Intelligence and Data Warehousing

Cazena's SaaS Data Lakes are designed to support all analytics -- including SQL, business intelligence and data warehousing workloads.

  • Migrate data warehouse appliance workloads to the cloud, offload appliances, free capacity in on-premises appliances and EDWs.
  • Collect and consolidate data from a wide variety of SaaS, cloud and on-premises data sources; Improve data access for employees, partners, customers, contractors, etc.
  • Connect and analyze data with any standard SQL business intelligence, visualization or advanced analytics tools including Thoughtspot, Qlik, Tableau, etc.
  • Get plug and play integration with existing ETL, data warehouse appliances, analytics and business intelligence tools – augment current processes easily.

Learn more about support for SQL workloads on the SaaS Data Lake >>