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InetSoft 2021 BI Analytics Release Implements Kubernetes

InetSoft 2021 BI Analytics Release Implements Kubernetes
Support for Docker and Kubernetes Decreases Cost of Ownership

InetSoft Technology, a pioneer in data intelligence, analytics, and reporting, announced the general availability of its 2021 release of Style Intelligence. The focus of the release is on IT and BI administrators making the deployment and updating of InetSoft’s BI platform easier and less resource-intensive. The top advances in this area are the addition of support for clustering options using Docker containers and Kubernetes.

As Kubernetes is a container orchestration system it provides the following benefits:
1. Automated, consistent, and repeatable deployment of containers
2. Automatic scaling of containers
3. Automatic system and resource management, including storage, networking, and security
4. Automatic failover as non-responsive cluster nodes are automatically restarted

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This advance supports DevOps teams employing continuous integration and continuous delivery (CI/CD) pipelines. Furthermore, the Docker and Kubernetes technologies are supported by many popular cloud infrastructures, including Amazon (EKS), Azure (AKS), and Google Cloud (GKE).

Several advanced data visualization types were added in this release. With addition of the following chart types, InetSoft offers as wide an advanced data visualization library as any analytics solution available:

  • Tree
  • Step Line
  • Step Area
  • Jump Line
  • Gantt
  • Funnel
  • Network
  • Circular

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“One of our differentiators is delivering an advanced data analytics solution that can be deployed and managed without dedicated BI developers. In fact, for many of our mid-sized customers, only a fractional headcount is required, meaning an IT staffer with database skills is all that is required, and only a portion of his or her time is spent throughout a month in supporting users or maintaining the software,” explains Mark Flaherty, CMO at InetSoft. “Our advances in lowering the cost of ownership via support for Docker and Kubernetes further help the average business who has constrained IT resources. Nonetheless, even the largest of enterprises benefit from this release since their deployment spans a cluster of machines. Automating software updates this way lowers their resource costs, as well.”

InetSoft’s Style Intelligence is a data intelligence platform. At its foundation is a powerful data mashup engine that enables fast and flexible transformation of data from disparate sources, which can either supplement or obviate a data warehouse solution. At the development level, a unified interface allows for easy and advanced data manipulation and design of interactive dashboards, and visual analyses. At the consumption level, self-service is maximized for a range of users, from casual business or consumer-type browsers, to power users and data scientists. As a cloud-ready, fully scalable enterprise-grade platform with granular security, multi-tenancy support, and multiple integration points, it serves both enterprises and solution providers. In either environment, ease of deployment and ease of use are chief development principles that help lower the time investment and total cost of ownership – and make the solution attractive to organizations of any size, with or without BI expertise.

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[To share your insights with us, please write to sghosh@martechseries.com]

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