Initial AppCloud solutions include DataRobot, Cloudera Data Science Workbench, StreamSets and Arcadia Data – provisioned, secured and optimized for integration with Cazena’s fully-managed big data platform
WALTHAM, Mass. – Nov 29, 2017 – Big Data as a Service leader Cazena today announced its new “AppCloud,” which makes it easier for companies to deploy a wide range of machine learning (ML) and analytics applications with instant access to enterprise data on the Cazena platform.
Cazena’s AppCloud addresses a growing challenge: companies want to run applications on public cloud providers (AWS, Azure, etc.) to accelerate analytics and digital transformation using new, innovative applications for ML, artificial intelligence, data management, and data science. However, the complexity of deploying, securing and connecting these applications with existing infrastructures and enterprise data slows down analytical projects.
“We developed the AppCloud due to customer and partner demand,” explained Cazena Founder & CEO, Prat Moghe. “With the AppCloud, companies can easily add new analytics and machine learning capabilities to their data pipelines, without worrying about cloud security, new DevOps skills and complex hybrid deployments.”
Companies use Cazena’s fully-managed Big Data as a Service platform to collect, store, share and analyze data for customer insights, data science, data lakes and data engineering. Teams use a wide variety of existing applications and analytical tools to connect and analyze datasets in Cazena. Now they can also immediately deploy new third-party software solutions via Cazena’s AppCloud in the same hosted cloud environment as their Cazena platform. Cazena’s platform and AppCloud run on both AWS and Azure, offering cloud flexibility and portability.
That end-to-end model delivers many performance, operational and security benefits – and accelerates the data value chain. Now teams don’t have to wait for infrastructure or data to deploy new capabilities. For example, analytical solutions that require a Hadoop/Spark infrastructure typically need enterprise DevOps to configure networking, security and integration to get secure access to clusters and enterprise data. With the Cazena AppCloud, these processes offer a simple and seamless experience.
“Moving to Cazena has already saved us significant time and money compared to the first cloud platform we built,“ explained Rich Sokolosky, founder of Sentier Health Informatics. “The new AppCloud takes Cazena’s ‘fully-managed’ concept even further, giving us instant access to the latest tools for advanced analytics and machine learning. Everything just works. There’s nothing that we have to integrate or worry about.”
The entire Cazena environment is provisioned, secured and optimized for performance. Cazena’s Big Data as a Service embeds technologies including Spark, Hadoop (Cloudera EDH) and MPP SQL, as well as cloud infrastructure from Microsoft Azure and AWS. Cazena delivers maximum security, high-performance and critical speed-to-market for enterprises at the lowest cost.
Sampling of Solutions in Cazena’s AppCloud:
- DataRobot offers enterprise machine learning platform that empowers users of all skill levels to make better predictions faster. Incorporating a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform automates, trains and evaluates predictive models in parallel, delivering more accurate predictions at scale.
- 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.
About Cazena: Cazena radically simplifies data and analytics, with the first fully-managed, Big Data as a Service platform. With Cazena, teams move, store, share and analyze big data in a few clicks, without specialized DevOps skills. Solutions are agile, secure and cost-effective. Cazena's fully-managed solutions combine best-of-breed technologies with automation, security and cloud infrastructure (Cloudera, Microsoft Azure, AWS, etc.) to deliver production-ready data platforms. Cazena was founded by the team behind the original Netezza data appliance, and is funded by Andreessen Horowitz, North Bridge Venture Partners and Formation 8. Cazena has attracted significant industry recognition and Fortune 500 customers across industries.