Home Uncategorized BlueData Taps AWS Cloud for Hybrid Big Data-as-a-Service BlueData Software Inc. tapped the Amazon Web Services Inc. (AWS) cloud to add support for hybrid architectures to the latest release of its Big-Data-as-a-Service (BDaaS) software. Organizations can now run Big Data analytics workloads on-premises or in the AWS cloud with the new offering. This is possible through a common self service UI and administrative console. BlueData noted that while legacy Apache Hadoop-based and Big Data-based workloads are almost exclusively hosted on-premises, hybrid implementations that leverage public clouds are becoming more viable and popular. According to Wikibon research, Big Data spending in public clouds is expected to increase from 5% of the overall market share in 2015 up to 24% by 2026. Gartner Inc., a research firm, also highlighted the growing influence of the cloud in Big Data analytics in a recent report on the “Data Management Solutions for Analytics Market”. Gartner stated that cloud computing is now being considered as an alternative deployment option due to its flexibility, agility, and operational pricing models. Organizations expect vendors to help them enable hybrid cloud and on-premises deployments. BlueData, a self-service, online platform that provides support for hybrid cloud and on-premises deployments, announced today that it will provide such support with the spring release of BlueData EPIC. BlueData’s BDaaS platform supports this hybrid model, leveraging Docker containers’ inherent infrastructure portability and flexibility,” the company stated in a statement. BlueData allows data scientists to quickly spin up Spark and Hadoop clusters on-premises or in public clouds from a single pane of glass. They can quickly iterate and fail quickly using their tools and focusing on the insights rather than the infrastructure. They can share their data, models and code in secure multi-tenant environments that are fully managed and embedded with Docker containers. They can achieve a faster time-to market and lower TCO for data pipelines while maintaining enterprise-class IT governance. BlueData recently announced support for the AWS cloud, which allows organizations to support data science teams regardless of what infrastructure they use. This hybrid approach, BlueData stated, allows organizations to provide self-service analytics in elastic, secure environments and provides support for data scientists. Anant Chintamaneni, BlueData’s blog writer, stated that customers now have the ability to use Amazon Web Services (and other public cloud services in the future) as an extension of their Big Data infrastructure. Our customers can also access on-premises data via their Big Data deployments on AWS public cloud. They can offer secure, self-service, elastic, as well as secure environments for Big Data analytics in an enterprise data centre, in the public clouds, or a combination of both. The EPIC platform has other features that support hybrid’s unique needs.
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BlueData Taps AWS Cloud for Hybrid Big Data-as-a-Service BlueData Software Inc. tapped the Amazon Web Services Inc. (AWS) cloud to add support for hybrid architectures to the latest release of its Big-Data-as-a-Service (BDaaS) software. Organizations can now run Big Data analytics workloads on-premises or in the AWS cloud with the new offering. This is possible through a common self service UI and administrative console. BlueData noted that while legacy Apache Hadoop-based and Big Data-based workloads are almost exclusively hosted on-premises, hybrid implementations that leverage public clouds are becoming more viable and popular. According to Wikibon research, Big Data spending in public clouds is expected to increase from 5% of the overall market share in 2015 up to 24% by 2026. Gartner Inc., a research firm, also highlighted the growing influence of the cloud in Big Data analytics in a recent report on the “Data Management Solutions for Analytics Market”. Gartner stated that cloud computing is now being considered as an alternative deployment option due to its flexibility, agility, and operational pricing models. Organizations expect vendors to help them enable hybrid cloud and on-premises deployments. BlueData, a self-service, online platform that provides support for hybrid cloud and on-premises deployments, announced today that it will provide such support with the spring release of BlueData EPIC. BlueData’s BDaaS platform supports this hybrid model, leveraging Docker containers’ inherent infrastructure portability and flexibility,” the company stated in a statement. BlueData allows data scientists to quickly spin up Spark and Hadoop clusters on-premises or in public clouds from a single pane of glass. They can quickly iterate and fail quickly using their tools and focusing on the insights rather than the infrastructure. They can share their data, models and code in secure multi-tenant environments that are fully managed and embedded with Docker containers. They can achieve a faster time-to market and lower TCO for data pipelines while maintaining enterprise-class IT governance. BlueData recently announced support for the AWS cloud, which allows organizations to support data science teams regardless of what infrastructure they use. This hybrid approach, BlueData stated, allows organizations to provide self-service analytics in elastic, secure environments and provides support for data scientists. Anant Chintamaneni, BlueData’s blog writer, stated that customers now have the ability to use Amazon Web Services (and other public cloud services in the future) as an extension of their Big Data infrastructure. Our customers can also access on-premises data via their Big Data deployments on AWS public cloud. They can offer secure, self-service, elastic, as well as secure environments for Big Data analytics in an enterprise data centre, in the public clouds, or a combination of both. The EPIC platform has other features that support hybrid’s unique needs.

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  • BlueData offers enterprise-class security and access control for multi-tenant Big Data deployments through its unified multi-tenant security model. These same capabilities are now available for AWS and hybrid implementations – including authentication, Kerberos security and user management. Integration with AWS Identity and Access Management allows you to control access to Amazon resources such as Amazon EC2 and S3.
  • Workload portability. The inherent portability of Docker containers means that the same Docker-based app images from the BlueData EPIC App Store are able to be used with any infrastructure. This flexibility allows you to easily deploy identical Big Data environments in the public cloud and on-premises for every stage of the software development cycle (for example, for dev/test/QA/production or back-up).

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