jKool vs. Selector Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Selector Analytics
Score 7.0 out of 10
N/A
Selector employs machine learning and NLP-driven, self-serve analytics to provide access to actionable insights. Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators. Collect: Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For example, Selector Analytics may…N/A
Pricing
jKoolSelector Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
jKoolSelector Analytics
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Features
jKoolSelector Analytics
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
jKool
7.0
1 Ratings
13% below category average
Selector Analytics
-
Ratings
Real-Time Data Analysis7.01 Ratings00 Ratings
Visualization Dashboards5.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources7.01 Ratings00 Ratings
Low Latency6.01 Ratings00 Ratings
Integrated Development Tools7.01 Ratings00 Ratings
Data wrangling and preparation6.01 Ratings00 Ratings
Linear Scale-Out8.01 Ratings00 Ratings
Machine Learning Automation8.01 Ratings00 Ratings
Data Enrichment9.01 Ratings00 Ratings
Best Alternatives
jKoolSelector Analytics
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10

No answers on this topic

Medium-sized Companies
Confluent
Confluent
Score 9.3 out of 10
Sumo Logic
Sumo Logic
Score 8.8 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
ignio AIOps
ignio AIOps
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
jKoolSelector Analytics
Likelihood to Recommend
7.0
(1 ratings)
8.0
(1 ratings)
User Testimonials
jKoolSelector Analytics
Likelihood to Recommend
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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Selector
Selector Analytics has proven very useful for our SRE and DevOps teams. It addresses our concern of being able to monitor network health and gives good analytics for our needs. It also helps with problem identification quickly so that we can resolve any potential issues. Getting an idea of network health allows us to identify potential problems beforehand, and we can take measures to fix them.
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Pros
jKool
No answers on this topic
Selector
  • Network Health Monitoring.
  • Realtime Actionable Insights.
  • Identifying ways to fix problems.
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Cons
jKool
No answers on this topic
Selector
  • Dashboard Customizations would be good to have.
  • Integration with tools such as Slack.
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Alternatives Considered
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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Selector
No answers on this topic
Return on Investment
jKool
No answers on this topic
Selector
  • Helped us identify problems faster.
  • Insights to identify ways to prevent future problems.
  • Helps us resolve problems faster.
  • Reduced our server costs - as we know when to scale up and when to scale down.
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ScreenShots