The Data Science Sandbox is an analytics-optimized data lake that's designed for data science and machine learning teams. The Data Science Sandbox supports a wide range of analytics engines, and is available with RStudio (R), Anaconda (Python) and more. Use embedded interfaces for R, Python, Java, SQL and more -- and connect any tool securely through Cazena's fully-managed service.
Support digital transformation and analytic agility with a fully-managed cloud Data Lake as a Service. Get started immediately, no waiting, no DevOps and no special skills required. Cazena data lakes support a wide variety of data science, data engineering and analytics workloads. Learn more and find out what's included in the FastStart Data Lake POC.
Cloudera Data Science Workbench enables fast, easy, and secure data science for the enterprise. With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench delivers a self-service experience and lets data scientists create and manage their own analytics pipelines, as well as develop and prototype new machine learning projects before deploying to production.
StreamSets provides an innovative data operations platform that reinvents how enterprises deliver timely and trustworthy data to their critical applications. Its mission is to bring performance management to data in motion so that data continually arrives on time and with quality, empowering business critical analysis and decision-making.
Arcadia Data provides the first native visual analytics software that runs within modern data platforms for the scale, performance, and security users need. Arcadia Enterprise is purpose-built to analyze large volumes of data without moving it, to deliver self-service BI, real-time insights, and advanced analytics for use cases like cybersecurity, IoT analytics, and customer intelligence.
Unlock digital transformation with a Self-Service Data Lake, which combines Accelerite ShareInsights with the Cazena Fully-Managed Data Lake as a Service. This is the enterprise solution that bridges the gap between business problems and business solutions and enables every user to solve the most complicated analytic business problem with very little time and effort, notably improving data-driven business outcomes for your entire organization.