Dataminr Pulse for Corporate Security is used to detect, visualize, and respond to events and threats in real-time to protect employees, facilities, and business operations.
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IBM StreamSets
Score 8.0 out of 10
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IBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.
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Pricing
Dataminr Pulse for Corporate Security
IBM StreamSets
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Dataminr Pulse for Corporate Security
IBM StreamSets
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Dataminr is packaged/priced based on the size of the organization and the use cases it will to address.
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.
IBM StreamSets excels in real-time logistics data ingestion and transformation across hybrid systems. It’s less ideal for lightweight ETL tasks or static datasets where simpler tools can achieve similar results with less overhead and complexity.
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.
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.
IBM Stream sets has been a wonderful addition to our technology stack. It has helped in some of our initiatives such as data engineering, data integration for not only external customers but also for internal purposes. The tool has also helped on our use cases related to streaming data. Moving to another tool would require significant amount of work and time.
The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
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.
Streamsets support has improved a lot in the last couple of years. We had some challenges in the beginning with support, but now the quality of the support and the responsiveness to tickets are better. We have contacted support multiple times when it came to scenarios where the system was slow or the output as not as we expected
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.
First advantage is that this software is particularly new and it keeps updating according to the needs of the user. Other advantage is the it organises and produces conclusions on the basis of data without leaving any relevant information. Other softwares lack in data summarising and readability of the charts and sheets they produce.
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.
