Datastreams as Gartners' Examples of Emerging Stream Data Integration Specialist Tools.

In March 2019, Gartner published an article named ‘Adopt Stream Data Integration to Meet Your Real-Time Data Integration and Analytics Requirements’. Datastreams is proud to be listed as one of the examples of emerging stream data integration specialist tools.

According to Gartner the increasing complexity of streaming data in organisations is creating opportunities for deeper analytics and better operational intelligence. Data and analytics leaders must adopt stream data integration as part of their data management strategies for real-time integration and analytics.

Read the full article of Gartner:

(Gartner Clients only)

Gartner Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Datastreams as Gartners' Representative Vendor in the Market Guide for Event Stream Processing 2018.

In June 2018, Gartner released its Market Guide for Event Stream Processing 2018 to give a better understanding of Event Stream Processing technology and what impact it will have in the future. Additionally, Garther created a list of Representative Vendors of organisations that evolve in this market and what product or solution they created. Datastreams is proud to be listed as one of these representative vendors and to be part of Gartners’ market guide.

According to Gartner Event Stream Processing (ESP) platforms are software systems that perform real-time or near-real-time calculations on event data “in motion.” The input is one or more event streams containing data about customer orders, insurance claims, bank deposits/withdrawals, tweets, Facebook postings, emails, financial or other markets, or sensor data from physical assets such as vehicles, mobile devices or machines. The platforms process the input data as it arrives (hence “in motion”), before optionally storing it in some persistent store. They retain a relatively small working set of stream data in memory, just long enough to perform calculations on a set of recent data for the duration of a time window.

In order to provide the right digital solution for businesses and organisations, we created our Datastreams Platform to collect, stream and share data in a compliant way. To meet the markets demand the platform governs, validates and protects data being used for its purpose – like analytics or research – and the platform can be expanded with custom made functionalities by using its Studio Module. This leads the opportunity for organisations to have a better data-driven collaboration with its trusted partners, whatever core business they have or what vision they adhere to.

Read the full Market Guide of Gartner:

(Gartner Clients only)

Gartner Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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