Azure Stream Analytics vs. Dataminr Pulse

Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.

Incentivized

For any news editor, Dataminr is a must. It is the only platform I have used which I would 100 percent recommend to anyone who needs constant access and notification to all that is going on in the world's media. Various other platforms provide information, but Dataminr collates all these other platforms together into one easy to use interface. It is remarkably quick to check Dataminr after receiving a desktop or email notification and find out what is going on regarding a specific subject. As a news editor, I am required to manage a news team that produces copy for breaking stories, and Dataminr allows me to find news and commission it faster than any other platform I have previously used.

Incentivized

• Routing of data from multiple inputs to multiple output
• You create your own user define function.
• Intermediate query is working very effectively.

Incentivized

• Collating various sources into one interface makes keeping track of breaking news remarkably easy.
• The live update feature means updates from breaking stories are fed directly to the consumer. This means users do not have to go out their way to find out every last detail of a story, and can instead use their time writing the story.

Incentivized

• Code competency is not that much effective
• Ml models can't be integrated with stream analytics

Incentivized

• Setting up Dataminr can be relatively obtuse. Although basic functions are easy to use, the more in-depth aspects require research and training to use correctly.
• Topics are very broad, which can be a negative at times. It would be useful to have 'football' as a topic rather than 'sport', for instance.

Incentivized

Connection issues/downtime occur but they are rare and generally quickly fixed. There are frequent seminars and tutorials to teach the platform. This is an excellent decision from the company and has made me more willing to learn how to use Dataminr correctly. As a result of this, I use the platform more than I would have if I had been forced to learn everything myself.

Incentivized

Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics

Incentivized

Before using Dataminr we did not use a similar platform, with stories discovered by simply crawling the web (TweetDeck/Reddit/news sites, etc). Because of this, Dataminr has been a game-changer for us and has revolutionized the way we have worked since it was introduced. Being able to completely remove one aspect of the job (searching for news) has increased productivity in all other areas.

Incentivized

• Very nice roi while using it.
• Multiple integration is the best functionality

Incentivized

• Since starting to use Dataminr, our traffic has vastly increased. Though not entirely to thank for the growth, Dataminr has played a role in talkSPORT.com's ComScore increasing by 150 percent over the past 18 months.
• Increased traffic is partly due to producing more content, and Dataminr has directly led to discovering a number of stories we previously would have missed.

Incentivized