Apache Spark Streaming vs. Dataminr Pulse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Spark Streaming
Score 8.7 out of 10
N/A
Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.N/A
Dataminr Pulse
Score 9.0 out of 10
N/A
Dataminr Pulse is a Real-Time Event and Risk Detection solution for businesses, public sector, and news organization, that leverages AI to give users early indication of business-critical information about risks to people, a brand, and physical and virtual assets – so the user can respond with speed and confidence. For news, Dataminr's AI platform delivers real-time news analytics, that detects global events by processing billions of public data inputs per day in a wide range of formats and…
$15,000
per year
Pricing
Apache Spark StreamingDataminr Pulse
Editions & Modules
No answers on this topic
Dataminr
$15,000
per year
Offerings
Pricing Offerings
Apache Spark StreamingDataminr Pulse
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache Spark StreamingDataminr Pulse
Top Pros
Top Cons
Features
Apache Spark StreamingDataminr Pulse
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apache Spark Streaming
8.4
1 Ratings
4% above category average
Dataminr Pulse
-
Ratings
Real-Time Data Analysis8.01 Ratings00 Ratings
Visualization Dashboards9.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources9.01 Ratings00 Ratings
Low Latency8.01 Ratings00 Ratings
Integrated Development Tools8.01 Ratings00 Ratings
Data wrangling and preparation8.01 Ratings00 Ratings
Linear Scale-Out8.01 Ratings00 Ratings
Machine Learning Automation9.01 Ratings00 Ratings
Data Enrichment9.01 Ratings00 Ratings
Best Alternatives
Apache Spark StreamingDataminr Pulse
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10

No answers on this topic

Medium-sized Companies
Confluent
Confluent
Score 7.4 out of 10
Qualys TruRisk Platform
Qualys TruRisk Platform
Score 8.3 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 7.9 out of 10
Qualys TruRisk Platform
Qualys TruRisk Platform
Score 8.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache Spark StreamingDataminr Pulse
Likelihood to Recommend
9.0
(1 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Apache Spark StreamingDataminr Pulse
Likelihood to Recommend
Apache
Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory.
Read full review
Dataminr
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.
Read full review
Pros
Apache
  • It is amazing in solving complicated transformative logic.
  • It is straightforward to program.
  • It is a very quick tool.
  • It processes large data within a fraction of seconds.
Read full review
Dataminr
  • 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.
Read full review
Cons
Apache
  • There must be more documentation.
  • It is a profoundly complex tool.
  • Its in-memory processing consumes massive memory.
Read full review
Dataminr
  • 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.
Read full review
Support Rating
Apache
No answers on this topic
Dataminr
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.
Read full review
Alternatives Considered
Apache
Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed .
Read full review
Dataminr
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.
Read full review
Return on Investment
Apache
  • Cost and time-effective tool for our business.
  • We can integrate with Jupyter with many conveniences.
  • Its high-speed data processing has proved beneficial for us.
Read full review
Dataminr
  • 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.
Read full review
ScreenShots