Query Inside reviews. Is Query Inside good?

Query Inside

Queryinside helps you search, analyze, and monitor your data faster and smarter. From log management to web analytics, we support seamless integrations with platforms like AWS CloudWatch, Azure Monitor,.

queryinside is a modern log monitoring and alerting platform designed to make log analysis simple, fast, and actionable. Built for developers and DevOps teams, it removes the friction from traditional log tools so you can focus on solving issues—not searching through noisy data.

Whether you're running a startup or scaling infrastructure, queryinside helps you stay ahead of problems with clarity and control.

Key Features: Centralized Log Monitoring – Collect and explore logs from all your environments in one clean interface.

Smarter Log Search & Filtering – Quickly find what matters, no matter how large or complex your log data is.

Real-Time Dashboards – Get live visibility into system events and application behavior.

Meaningful Alerts – Cut through the noise with alerts that actually matter.

In-App Collaboration – Work with your team directly inside the tool for faster troubleshooting.

Beginner-Friendly Experience – Easy to use for developers who aren’t logging experts.

Cloud Integration (Coming Soon) – Smooth connection with cloud services and infrastructure.

Fast Iteration – We release features and fix bugs quickly based on real user feedback.

At queryinside, we believe your tools should work with you—not get in the way. That’s why we’re building a log management experience that’s fast, helpful, and built for real-world teams.

A startup from Bangladesh that is founded by Queryinside queryinside.

5.0

(2 reviews)

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Pricing:

Freemium
Free Trial
$10.0 / Monthly ("Up to 1 project")
Official Pricing

Platforms:

Amazon AWS CloudWatch
PostgreSQL Logs
Microsoft Azure Monitor
Custom JSON/CSV Log Uploads

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Features & Specs

AI-Powered Data Search

Find what you need in seconds using advanced AI that understands context, not just keywords. Whether you're searching millions of logs or uploaded datasets, Queryinside delivers accurate results—fast.

Smart Log Management

Say goodbye to messy logs. QueryInside helps you collect, organize, and analyze system logs through a clean dashboard, making it easier to detect issues and take action quickly.

Real-Time Web & User Analytics

Track live visitor activity and user behavior on your web pages. With built-in page analytics and real-time alerts, you’ll always stay informed about how users interact with your application.

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Reviews

asmaakter20001703

· Data Analyst at 2022 · 4 months ago

Finding and understanding data fast and effortless

queryinside is solving the challenge of scattered, hard-to-analyze log and monitoring data. By centralizing everything into one platform with real-time insights and AI-powered search, it helps us catch issues faster, improve system performance, and make better, data-driven decisions—all while saving time and reducing manual effort.

🏁 Competitors: Splunk, Datadog

👍 Pros: Real-time tracking helps you spot issues before they become problems|Plays well with other tools like aws and apis|Clean design that’s easy to navigate

👎 Cons: Some advanced features feel hidden or underexplained|Needs clearer tutorials or walkthroughs for new users

saiful

· Assistant Manager at BracEPL · 4 months ago

Finally, Log Monitoring That Makes Sense

Queryinside made our debugging process so much faster. No more jumping between tools or drowning in noisy alerts. The real-time logs and smart alerts help us catch issues early, and the interface is clean and easy to use. It feels like having an extra team member who’s always on watch.

🏁 Competitors: Datadog, LogRocket, Splunk, Sentry.io

👍 Pros: Easy-to-use dashboard|Real-time log monitoring and alerts|Helpful onboarding and support

👎 Cons: Limited integrations (but improving)|Best suited for cloud-based apps for now

Questions & Answers

As answered by people managing Query Inside.

What makes Query Inside unique?

Queryinside combines AI-powered search, real-time analytics, and seamless log monitoring into one intuitive platform—making it fast, smart, and easy to find actionable insights from your data.

Why should a person choose Query Inside over its competitors?

A person should choose queryinside over its competitors because it offers a seamless, AI-powered data search and monitoring experience. With real-time analytics, fast root cause detection, easy integrations (like AWS CloudWatch), and intuitive dashboards, queryinside makes it incredibly simple to manage logs, understand user behavior, and get actionable insights—saving both time and effort. It's built for speed, scalability, and clarity.

How would you describe your primary audience?

The primary audience for queryinside includes developers, data analysts, DevOps teams, and tech-driven businesses that need fast, reliable tools for log monitoring, system analytics, and user behavior tracking. Whether you're managing a SaaS app, a web platform, or cloud infrastructure, queryinside is designed to help technical teams search, analyze, and optimize their data workflows more efficiently.

What's the story behind Query Inside?

The Story Behind queryinside

queryinside was born out of a common frustration—digging through endless logs and scattered data just to find one useful insight. The goal was simple: build a powerful yet easy-to-use platform that helps teams search, analyze, and monitor their data in real-time without complexity.

With AI at its core, queryinside was designed to make sense of massive datasets, reduce time spent on root cause analysis, and deliver meaningful results fast. It empowers developers, analysts, and product teams to spend less time troubleshooting and more time building.

From integration with platforms like AWS CloudWatch to real-time web analytics and hybrid search, queryinside has evolved into a comprehensive solution for modern data and system visibility

Which are the primary technologies used for building your product?

Primary Technologies Behind queryinside queryinside is built using a modern tech stack designed for speed, scalability, and real-time performance. Some of the core technologies include: Python & Django: For robust backend development and API handling. React: For a fast, interactive, and intuitive frontend experience. Elasticsearch: Powers the fast and flexible search capabilities across massive datasets. PostgreSQL: Used for structured data storage and reliable data management. AWS Services: For scalable cloud infrastructure, including integration with AWS CloudWatch for real-time log monitoring. Redis & Celery: To support background tasks and fast data processing. Docker & Kubernetes: For containerization and smooth deployment across environments. This modern stack allows queryinside to deliver an AI-powered, lightning-fast, and secure data monitoring experience.

Who are some of the biggest customers of Query Inside?

As of now, queryinside is actively growing and building partnerships with startups, mid-size tech companies, and development teams across industries. While we’re not listing specific brand names publicly just yet, our primary customers include:

SaaS companies looking to track user activity and system logs in real time Ecommerce platforms needing advanced page analytics and performance insights DevOps teams integrating log monitoring and alerts from services like AWS CloudWatch Product teams using queryinside for behavioral analytics and event tracking AI and data-driven startups who need fast, scalable search across massive datasets We’re proud to support businesses that rely on intelligent, real-time data insights to move faster and make smarter decisions.

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