According to a new press release, “Datawatch Corporation today announced that Datawatch Swarm, the industry’s first enterprise data intelligence platform, is offering corporations new deployment options to fuel their self-service analytics initiatives and capture the full return of their business intelligence investments. The new release aligns directly with enterprises’ needs for flexible, scalable and collaborative infrastructure and also provides multi-tenancy and SaaS deployment options for Datawatch partners.”
Jon Pilkington, chief product officer at Datawatch, commented, “Datawatch Swarm is designed to empower business analysts, while also meeting the data governance needs of the enterprise’s IT department. It fills the void in the corporate data stacks by connecting the IT and data governance tenets to the self-service and predictive analytics needs of business analysts… The collaborative nature of the solution and centralized data management platform allow analysts to quickly find, prepare, analyze and visualize the right data for business intelligence and analytical purposes. By creating an enterprise-wide data community, our Swarm customers are achieving true collaboration, agility and expedited outcomes that drive better business decisions and operational processes.”
The release continues, “Datawatch Swarm offers a full suite of enterprise features that supports the needs and goals of IT and business intelligence teams of the world’s largest corporations. These latest features include: Scalable Linux deployments – Offers enterprises cluster load balancing, fault tolerance and configuration management, allowing IT to easily implement Swarm across all departments. Kubernetes containerization – Automates the distribution, scaling and management of the Swarm platform for all business users and analysts to ensure proper data governance and sharing of data, models and outcomes in the centralized data management platform. Wider integrations and enterprise deployment support- Adds integrations to key enterprise technologies, such as single sign-on, to provide a friction-free, user-friendly experience for employees to encourage data sharing and collaboration.”
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Photo credit: Datawatch