14 Jun 2023
Nstream mentioned in “Unified Real-Time Platforms” developing its own native stream processing capabilities
Nstream, a leading and innovative provider of solutions for the fastest way to build full-stack, open-source streaming apps that provide real-time insights, today announced that Nstream has been recognized by Gartner as an example vendor of Unified Real-Time Platforms in the Market Guide for Event Stream Processing for its streaming application platform as a service (PaaS).¹
According to Gartner, “Event stream processing (ESP) platforms are a prominent example of software that is used to process streaming data in real time. Organizations also use custom code; commercial SaaS or packaged applications; stream-enabled DBMSs; stream data integration (SDI) tools; unified real-time platforms; or analytics and BI (ABI) platforms for other kinds of real-time streaming.” The approximate use of ESP Platforms is:
- Two-thirds support real-time operational applications.
- One-third for ingesting, transforming and storing streaming data for subsequent analytics applications.
“Gartner evaluated event stream processing platforms and their support of real-time analytics and stream data integration on data in motion. This Market Guide is designed to help data and analytics leaders decide when to use ESP platforms instead of alternative tools for real-time processing of their proliferating streaming data.”¹
Officially recognized by Gartner as a named example for ”Unified Real-Time Platforms,” we feel Nstream is developing its own native stream processing capabilities.
Nstream’s application development platform enables enterprises to build powerful streaming data applications in minutes not months by providing a fully integrated stack. The technology innovations that enable this stack are stateful services, streaming APIs, and real-time UIs.
It is now possible to build streaming data applications that achieve network-level latency at 70 percent lower total cost of ownership (TCO) all without the need for streaming processing frameworks, additional databases or application servers, or data visualization applications software.
Examples of streaming data applications include real-time marketplaces (ride-sharing, on-demand delivery services), real-time customer 360 (personalized offers & recommendations, proactive support), and real-time visibility (predictive maintenance, inventory management, asset tracking).
Netstream has worked with numerous customers that have experienced 10x faster time to value – one customer deployed in production at scale (200M+ events/second) in just six weeks. Other customers have reduced complexity with a 70 percent lower TTCO, including 4x lesser engineering horns to design, build, test, and maintain.
According to Mark Braby, General Manager of EV Charging at Itron, “Our guiding principles were to take advantage of Itron’s strengths in energy measurement and ingesting real-time data at the grid edge, develop purpose-built software applications, and then determine how we could use this to develop a software solution to accelerate EV charging deployments. We knew the platform had to scale to millions of endpoints, and to manage energy for commercial customers and grid operators it needed to be utility-grade, secure, and resilient, so we spent the time to get the technology right.”
“A Market Guide defines a market and explains what clients can expect it to do in the short term. With the focus on early, more chaotic markets, a Market Guide does not rate or position vendors within the market, but rather more commonly outlines attributes of representative vendors that are providing offerings in the market to give further insight into the market itself.” *