Software Alternatives & Reviews

jKool VS Up.Time Software

Compare jKool VS Up.Time Software and see what are their differences

jKool logo jKool

Unified Application & Fast Data Analytics for analyzing machine data such as logs, metrics, performance, transactions and other time series machine data.

Up.Time Software logo Up.Time Software

Explanatory video can be found here.
  • jKool Landing page
    Landing page //
    2021-09-23
  • Up.Time Software Landing page
    Landing page //
    2022-10-08

Category Popularity

0-100% (relative to jKool and Up.Time Software)
Log Management
100 100%
0% 0
Databases
0 0%
100% 100
Monitoring Tools
58 58%
42% 42
Analytics
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare jKool and Up.Time Software

jKool Reviews

Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
jKool Cloud helps its users to unravel important insights about their log data which can then be used to amplify the decision making in any business environment. jKool’s platform helps teams to improve their customer experience by tapping into crucial data about user and application activity on server and client side of things; with comprehensive tools, you can better...
Source: stackify.com

Up.Time Software Reviews

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What are some alternatives?

When comparing jKool and Up.Time Software, you can also consider the following products

Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.

TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

Kafka - Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.

KairosDB - Fast Time Series Database on Cassandra

Snare - Snare is well known historically as a leader in the event log space.

VictoriaMetrics - Cost-effective database for huge amounts of time series data