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jKool

Score7 out of 10

1 Reviews and Ratings

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What is jKool?

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.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features jKool has to offer, as determined by TrustRadius' reviewers.
Based on 1 ratings of jKool's features
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Top Performing Features

  • Data Enrichment

    Ability to enrich the data stream with static reference data

    Category average: 7.7

  • Linear Scale-Out

    Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

    Category average: 7.5

  • Machine Learning Automation

    Machine learning helps automate predictive scoring on streaming data

    Category average: 8.6

Areas for Improvement

  • Low Latency

    How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or data-point

    Category average: 8.4

  • Data wrangling and preparation

    Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.

    Category average: 7.8

  • Visualization Dashboards

    Easy-to-understand pictorial illustration of data with graphs charts and dashboards

    Category average: 8.9

Reviews

What users are saying about jKool.
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jKool is a good software for capturing user data

Incentivized
Duc Minh NguyenView profile
President in Engineering at Fluffex Studios (11-50 employees employees)

Use Cases and Deployment Scope

jKool is a software as a service, cloud-based platform for analyzing streaming Big Data which is good for addressing data collection. This service can be used to measure customer experience and user engagement which is what we need when developing new game or getting feedback for old games that we have created.

Pros

  • Log Analytics
  • User data monitoring
  • Detecting outlier

Cons

  • GUI has too many colors, hard to look at sometimes
  • Sometimes the data displayed can be overwhelming
  • Takes a bit of time to learn

Most Important Features

  • Customer data retrieval
  • Open source eco-system
  • Ability to search in real time and in the past

Return on Investment

  • Valuable customer data
  • A decent amount of research on learning how it works
  • Real time statistics