While many organizations have started AI and Big Data projects, many have not moved beyond pilot projects because of the time, complexity, and cost involved.
BlueData is democratizing AI and Big Data by making it easier, faster, and more cost-effective to deploy distributed Machine Learning and Analytics environments — whether on-premises, in the public cloud, or in a hybrid architecture. With the BlueData EPIC™ software platform, you can:
- Spin up containerized environments within minutes, whether for dev/test or production
- Deliver the agility and flexibility benefits of Docker containers, with the performance of bare-metal
- Quickly deploy distributed Machine Learning and Analytics applications on-premises or in the cloud
- Separate compute from data storage, to reduce costs and improve operational efficiency
- Provide the enterprise-grade governance and security required, in a multi-tenant architecture
Ultimately, we offer solutions to many of the AI and Big Data deployment challenges faced by organizations today. Whether you’re a Big Data engineer, a data scientist or an analyst, the BlueData EPIC platform provides a simpler, faster, more scalable, and more cost-effective solution — delivering faster time-to-value and lower TCO for your Machine Learning and Analytics use cases.
“BlueData provides complete interoperability and high performance for HDP in containerized environments.”
Solutions for AI and Big Data
IT and Developers / DevOps Teams
If you’re like most enterprises, you have multiple business users increasingly demanding instant access to a wide range of different AI and Big Data environments. However, data isolation between these tenants can be a major challenge. With BlueData’s ElasticPlane™ technology, we provide a truly multi-tenant and secure enterprise-grade architecture — including an easy-to-use, self-service interface to meet your needs and the needs of data scientists, developers, and other users across your organization. We also offer automated integration with LDAP / Active Directory and other enterprise systems, so your containerized AI and Big Data applications can be run with the same enterprise-grade security as they would on bare-metal.
Because BlueData’s DataTap™ technology can separate compute and storage infrastructure, you no longer have to move your data or make multiple copies. Sensitive data can remain within shared enterprise storage such as NFS or in HDFS, without the cost and risks of data duplication. This unique capability allows you to leverage the robust security models offered by traditional enterprise storage systems and unlock the data stored away in these systems for Analytics and Machine Learning.
You can define user groups and assign policies to restrict access to workloads, data, or clusters based on departments or roles. The BlueData policy engine lays the foundation for defining service levels based on priority and automates resource management based on tenant and application needs. For example, a lower-priority job that is clogging resources could be paused so that a higher priority job can complete.
Data Scientists and Line of Business Users
Create containerized environments running multiple versions of an application, or entirely different workloads, on shared infrastructure. You can then evaluate your options on an apples-to-apples basis, reducing the need for — and cost of — bare-metal resources. Instead of waiting weeks or months for your turn, you can automatically spin up new environments as needed, including separate clusters for development and production purposes.
We apply BlueData’s IOBoost™, patented I/O optimization technologies, to deliver near bare-metal performance while leveraging the benefits of Docker container technology. Application-aware caching and elastic resource management adapt dynamically to changing workload and application requirements to ensure the best possible I/O performance — together with the agility, flexibility, cost-efficiency, and portability advantages of containers.