Apache Spark Streaming vs. jKool

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
jKool
Score 7.0 out of 10
N/A
jKool is a streaming analytics platform from the company of the same name in Melville, that analyzes fast data such as logs, metrics, transactions in real-time so users can focus on finding insight and opportunities in their data.N/A
Pricing
Apache Spark StreamingjKool
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache Spark StreamingjKool
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 StreamingjKool
Top Pros

No answers on this topic

Top Cons

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Features
Apache Spark StreamingjKool
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apache Spark Streaming
8.4
1 Ratings
4% above category average
jKool
7.0
1 Ratings
14% below category average
Real-Time Data Analysis8.01 Ratings7.01 Ratings
Visualization Dashboards9.01 Ratings5.01 Ratings
Data Ingestion from Multiple Data Sources9.01 Ratings7.01 Ratings
Low Latency8.01 Ratings6.01 Ratings
Integrated Development Tools8.01 Ratings7.01 Ratings
Data wrangling and preparation8.01 Ratings6.01 Ratings
Linear Scale-Out8.01 Ratings8.01 Ratings
Machine Learning Automation9.01 Ratings8.01 Ratings
Data Enrichment9.01 Ratings9.01 Ratings
Best Alternatives
Apache Spark StreamingjKool
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10
IBM Streams
IBM Streams
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 7.3 out of 10
Confluent
Confluent
Score 7.3 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 7.3 out of 10
Spotfire Streaming
Spotfire Streaming
Score 7.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache Spark StreamingjKool
Likelihood to Recommend
9.0
(1 ratings)
7.0
(1 ratings)
User Testimonials
Apache Spark StreamingjKool
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.
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jKool
JKool is a decent tool for retrieving information regarding user engagement and customer feedback for your software products. With these information it's very valuable stepping stone for us to make future updates or produce new products. However, there are some downsides with jKool, two of which are there are too much clutter in the GUI and it takes sometimes to turn how things work.
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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.
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jKool
No answers on this topic
Cons
Apache
  • There must be more documentation.
  • It is a profoundly complex tool.
  • Its in-memory processing consumes massive memory.
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jKool
No answers on this topic
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 .
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jKool
No other product that I used is similar to jKool, it's unique product that have good amount of features that I would be opened to invest more in the future if time permit. It still has a long way to go and the first thing it can do is clean up it user interface to make it better.
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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.
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jKool
No answers on this topic
ScreenShots