Data has been rapidly rising in importance within the enterprise. The focus on big data and analytics was all about who could get the most data. But now, gaining access to data is mere table stakes. What’s important now is how quickly an enterprise can act on its data. As a result, today’s data-driven applications need to handle data as it arrives — not wait for it to traverse a slow, complex data pipeline.
To do so, however, organizations need a way to process, connect and analyze data in real-time. The founders of a startup called Streamlio have built a new platform for this express purpose. They founded the company on the belief that its customers needed a simple, end-to-end way to leverage streaming data. Its platform brings together the industry-standard open source components necessary to create such a streaming data pipeline and then layers security, orchestration, management, metadata, monitoring, and connectivity on top of them to create a unified platform.
The result is a highly scalable, unified solution that delivers to the enterprise a single, integrated streaming data platform. Streamlio’s solution creates a flexible, yet consistent solution that enables organizations to act on streaming data at the edge, in the data center, or in the cloud.
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