Monitr Alternatives

If you're looking for a Monitr alternative, Athena is another top choice. This AI-native analytics platform uses co-pilot and auto-pilot modes to speed up workflows and make analytics more accessible to everyone. It's designed to integrate with Enterprise Data Warehouses, has chat-based interfaces for querying and creating visualizations, and can create reports with filtering and export. It supports collaboration for more than 100 concurrent users and includes causal AI models for more balanced decision-making. It's a good option for businesses that want to advance analytics without manual workflows.

Another top pick is Morph, an AI-powered data assistant that makes data accessible and usable for all stakeholders without requiring them to write code. Morph can pull data from many sources, process it and then export the results to other destinations. It supports a variety of SQL databases including Snowflake, BigQuery, Postgres and MySQL. With a free tier and a Pro tier costing $99 per month, Morph is good for businesses that need to get data quickly, automate complex processes and make decisions based on data.

For those who want to collaborate on data operations, Coginiti is a full-fledged platform that lets teams create, publish and consume trusted data products. It has deep database object integration, team collaboration with versioned workspaces and AI help to speed productivity. Coginiti integrates with a variety of data platforms, business intelligence tools and data orchestration platforms, ensuring analytics consistency and faster delivery of trusted data products.

Last, Polymer is an AI-powered dashboard creation platform that turns complex data into actionable insights. It can pull data from many sources and create a dashboard in a matter of minutes without requiring data science skills. Features include AI-driven insights, personalized visualization through PolyAI chat, and customization options. Polymer is good for people who need to analyze and visualize data, extract insights and present data in a way that's easy to understand.