
Monitr
Build SQL dashboards in seconds not hours.

Most popular alternative: DataSquirrel (988 saves)
Author
The best way to query, visualize, and talk to your data with AI. Build queries and dashboards to track your most important metrics.Grant Steffen
🛠️ 1 tool
Connect various data sources, including PostgreSQL, MySQL, or any data source with an API endpoint.
Sign up, connect a database, and start asking an AI assistant questions about your data. Save those queries and add them to a dashboard to quickly visualize your favorite metrics.
Share your queries and dashboards with your team to keep everybody in the loop.
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Releases
Get notified when a new version of Monitr is released
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May 4, 2024
Grant Steffen
Initial release of Monitr.
Pricing
Pricing model
Freemium
Paid options from
$19/month
Billing frequency
Monthly

Prompts & Results
Add your own prompts and outputs to help others understand how to use this AI.
Monitr was manually vetted by our editorial team and was first featured on May 4th 2024.
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12,64897v2.1 released 2mo agoFree + from $45/moThis is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead
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29,011396v1.0 released 11mo agoFree + from $35/moThis team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
Pros and Cons
Pros
Supports PostgreSQL and MySQL
Universal API access
Convenient cloud-based
Unified data view
Data silos breakdown
SQL queries support
Multi-source data tracking
Collaborative data interactions
Charts creation feature
Dashboards creation feature
Team SQL participation
Flexible analytics tooling
Key metrics monitoring
Simplifies data-driven decisions
Free viewers
Data integration functionality
View 11 more pros
Cons
Currently in beta stage
Only supports PostgreSQL, MySQL
No offline mode
Unspecified processing speed
Dependent on Llama 3 LLM
Cloud-based only
Requires API endpoint
View 2 more cons
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Q&A
What is Monitr and what is its purpose?
Monitr is a data visualization and analytics platform. The purpose of Monitr is to aid in making data-driven decisions by enabling users to query, visualize, and share their data effortlessly. It works by breaking down data silos, providing a unified view of multiple data sources, and creating charts and dashboards for tracking crucial metrics. It is cloud-based, supports various data sources, and incorporates AI features for enhanced analytics.
How does Monitr break down data silos?
Monitr breaks down data silos by offering a platform where users can connect and track data from multiple disparate sources, thus enabling a unified visualisation of data from these sources. This integration across sources provides an end-to-end view eliminating data isolation.
What data sources can Monitr connect with?
Monitr can connect with data sources that include PostgreSQL, MySQL, and any other data source with an API endpoint. This makes it very versatile as it can integrate data from various systems or databases.
What does it mean that Monitr offers a unified view of data?
Monitr providing a 'unified view of data' means it integrates data from different sources, eliminating the need to switch between various tools or platforms for different sets of data. It consolidates all data streams into a single view, helping users get insightful and holistic views of their data.
In what ways can I visualize data with Monitr?
You can visualize data with Monitr by creating charts and dashboards. These visualizations provide a direct and efficient way to monitor most critical metrics and make informed, data-driven decisions.
What types of charts and dashboards can I create with Monitr?
With Monitr, the specific types of charts and dashboards you can create are not detailed on their website. However, it is mentioned that it allows for the creation of charts and dashboards in general, indicating that users should be able to generate a variety of visualizations to best suit their data.
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