Qlik
Tableau
Looker
Sisense
Microsoft Power BI
Domo
QlikSense
MicroStrategy
Shakebug
Luciq
BugHerd
Bugsee
Bugasura
BugSnag
Quash Report
BugBattle
Shakebug is a bug and crash reporting tool built for mobile and web app teams. It lets testers and end users report issues in seconds โ usually by simply shaking their device โ and automatically attaches an annotated screenshot, device model, OS version, app version, and logs so developers have everything needed to reproduce the problem right away.
Crashes are detected and logged automatically, and Shakebug's AI groups repeat crashes into a single issue with first-seen date, affected devices, and OS versions, so teams fix the highest-impact problems first instead of digging through duplicates.
Every bug and crash is tied to the user's session journey โ a timeline of the screens, events, and actions that happened right before the issue occurred โ giving developers full context instead of just a stack trace. This works even for anonymous users who never log in.
Reports can be sent straight into tools teams already use, including Jira, Slack, Trello, Asana, Monday, Linear, ClickUp, GitHub, GitLab, and Zendesk, keeping bug tracking inside existing workflows instead of creating a separate silo.
Beyond bug and crash tracking, Shakebug includes built-in product analytics: active users, session counts, stickiness, custom event tracking, and weekly cohort retention (Week-1 and Week-4), so quality metrics and usage data live side by side.
Shakebug works across iOS, Android, Flutter, React Native, and web apps built with React, Next.js, or any JavaScript framework โ one SDK across every platform. It's used by 1,300+ product teams and has processed tens of millions of app sessions, with a free plan available and no credit card required to start.
Qlik
ShakebugNo features have been listed yet.
Qlik's associative data model makes data analytics seamless.
Highly Recomend using this to anyone.
Based on our record, Qlik seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: over 5 years ago
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