SpeedCurve vs Qbaka

Overview

SpeedCurve

Stacks26

Followers27

Votes3

Qbaka

Stacks2

Followers7

Votes0

Qbaka vs SpeedCurve: What are the differences?

What is Qbaka? Smart frontend error monitoring and analytics, JavaScript error tracking. Qbaka automatically collects errors without user interation. Whenever error happen, it is collected by Qbaka and developers get maximum helpful data to fix the problem.

What is SpeedCurve? Front-end performance monitoring. It's WebPageTest on steroids!. SpeedCurve gives you continuous feedback on how your front-end code is affecting the performance of your website. Get detailed build analysis and performance filmstrips for your own website and then benchmark your performance against the competition to make sure your website loads faster.

Qbaka and SpeedCurve can be categorized as "Font-end Performance Monitoring" tools.

Some of the features offered by Qbaka are:

Smart error grouping
Stacktraces extraction
Raw data: user IP, timezone, url, browser, etc

On the other hand, SpeedCurve provides the following key features:

Front-end performance monitoring
Track asset sizes and requests
Built in Google PagesSpeed Insight reports

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Datadog

Performance Monitoring

Unify logs, metrics, and traces from across your distributed infrastructure.

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Detailed Comparison

SpeedCurve	Qbaka
SpeedCurve gives you continuous feedback on how your front-end code is affecting the performance of your website. Get detailed build analysis and performance filmstrips for your own website and then benchmark your performance against the competition to make sure your website loads faster.	Qbaka automatically collects errors without user interation. Whenever error happen, it is collected by Qbaka and developers get maximum helpful data to fix the problem.
Front-end performance monitoring;Track asset sizes and requests;Built in Google PagesSpeed Insight reports;Weekly reports and alerts;Built on top of WebPagetest;Responsive website testing;Competitive benchmarking;Share dashboards with the team;API to trigger tests on every deploy;Visual diffs to spot UX regressions	Smart error grouping;Stacktraces extraction;Raw data: user IP, timezone, url, browser, etc;Custom muting by script/error message;SSL support;Global error statistics
Statistics
Stacks 26	Stacks 2
Followers 27	Followers 7
Votes 3	Votes 0
Pros & Cons
Pros 2 Easy setup 1 Understandable reports and great benchmark	No community feedback yet
Integrations
Slack	No integrations available