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SAS Event Stream Processing for Edge Computing
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SAS Event Stream Processing for Edge Computing Reviews & Product Details

SAS Event Stream Processing for Edge Computing Overview

What is SAS Event Stream Processing for Edge Computing?

Some data naturally occurs as an ongoing stream of events – a continuous feed of data from remote sensors and devices in the fast-growing Internet of Things (IoT). With SAS Event Stream Processing for Edge Computing, you can: • Make faster, more intelligent decisions on the edge to understand events while they’re happening. • Analyze data continually as it's received, without having to send it to a traditional data center. • Update situational intelligence and respond with agility as new events emerge. • Capture the business value of information immediately, rather than losing it to information lag. Analyze high-velocity big data at the edge while it’s still in motion − before it's stored − so you can take immediate action on what's relevant and ignore what isn’t.

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Seller

SAS Institute Inc.

Description

SAS offers business analytics software and services, and is an independent vendor in the business intelligence market. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.

Overview Provided by:
Global IoT Product Marketing Leader at SAS

Recent SAS Event Stream Processing for Edge Computing Reviews

Verified User
E
Verified UserEnterprise (> 1000 emp.)
4.0 out of 5
"Recommendation"
We use it every day for better customer approach. It helps us engage customers in banking. Tool is easy to use and we are developing new integratio...
GM
Green M.Mid-Market (51-1000 emp.)
4.0 out of 5
"Optimizing production lines and preventing equipment failures"
Real-time analysis of sensors has been beneficial to our industrial automation network edge computation. SAS ESP for Edge Computing means that we a...

SAS Event Stream Processing for Edge Computing Media

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2 SAS Event Stream Processing for Edge Computing Reviews

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SAS Event Stream Processing for Edge Computing Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
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G2 reviews are authentic and verified.
Verified User in Banking
EB
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: Seller invite
What do you like best about SAS Event Stream Processing for Edge Computing?

We use it every day for better customer approach. It helps us engage customers in banking. Tool is easy to use and we are developing new integrations on our own as it is quite intuitive. Review collected by and hosted on G2.com.

What do you dislike about SAS Event Stream Processing for Edge Computing?

We are facing issues with infrastructure as it happens quite often than one leg is collapsing Review collected by and hosted on G2.com.

What problems is SAS Event Stream Processing for Edge Computing solving and how is that benefiting you?

it helps us in better customer reach Review collected by and hosted on G2.com.

GM
Project Strategy Director
Architecture & Planning
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about SAS Event Stream Processing for Edge Computing?

Real-time analysis of sensors has been beneficial to our industrial automation network edge computation. SAS ESP for Edge Computing means that we are able to make decisions practically in real-time based on the data flow. Review collected by and hosted on G2.com.

What do you dislike about SAS Event Stream Processing for Edge Computing?

There is a sense of the tools included in SAS ESP for Edge Computing having some limitations to their graphical capabilities. Due to the limited options of extended visualization, it is difficult to discover intricate relationships or trends in the data. Review collected by and hosted on G2.com.

What problems is SAS Event Stream Processing for Edge Computing solving and how is that benefiting you?

Before implementing SAS ESP for Edge Computing, we used to process sensor data at the central location which took a lot of time in decision making. Real time analysis of data at the edge will create a reaction that will enable an optimized process. Review collected by and hosted on G2.com.

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