MongoDB BI Connector Is Reaching End-of-Life in September
Monalytica gives you a better path forward.
Keep your MongoDB data accessible for analytics, BI, and AI without ETL, replication, or re-architecting your stack.
Don’t Let BI Connector EOL Create a Reporting Gap
If your teams rely on MongoDB data for reporting, dashboards, or business analysis, the end of MongoDB BI Connector creates an immediate challenge.
Monalytica was built to solve exactly that.
As a MongoDB partner, we developed Monalytica to unlock MongoDB data for analytics and AI without the usual tradeoffs. No delayed pipelines. No duplicate storage. No need to force analysts to work in MongoDB query language.
Instead, Monalytica gives your teams a clean, business-friendly layer over live MongoDB data so they can query, visualize, and explore it with the tools they already know.
Why Monalytica is the Right Answer
A native analytics layer inside MongoDB
Monalytica sits inside your MongoDB environment as an analytics-friendly layer that makes document data easier to consume across business and technical teams.
It restructures complex raw data into clear, usable models without forcing you to move the data elsewhere. That means your teams can access operational data in place, while gaining the structure needed for analytics, reporting, and AI use cases.
This approach helps organizations simplify architecture, reduce cost, and accelerate time-to-insight without adding another fragile data pipeline to manage.
MongoDB is powerful for operations. Analytics is where things get harder.
MongoDB stores some of the most valuable data in your business, but that does not automatically make it easy to use for analytics.
Traditional approaches introduce compromises. Export the data, and you add latency, cost, and maintenance overhead. Query it directly, and teams often run into nested data structures, limited accessibility, or the need for specialized MongoDB expertise.
With BI Connector reaching end-of-life, those challenges become more urgent.
Monalytica removes those blockers.
It creates a logical business layer inside MongoDB that flattens and enriches document data, making it ready for SQL queries, BI tools, dashboards, and AI models in real time.
What does Monalytica deliver ?
Monalytica gives your teams a practical way to keep using MongoDB data for analytics after BI Connector, while expanding what that data can do for the business.
Data Enrichment
1Real-Time Analytics
2AI-Ready Data
3BI Tool Connectivity
4Unified Access Layer
5Lower-Cost Architecture
5What changes for your teams?
With Monalytica, business users get a clean and consistent view of MongoDB data that is ready for analysis. Analysts can work with live data in familiar environments.
Managers can monitor performance without waiting for exports. Leadership gets more immediate visibility into business activity.
Faster answers. Less friction. More value from MongoDB.
Why Act Now?
MongoDB BI Connector reaching end-of-life creates more than a technical change. It creates a decision point. You can patch together another workaround, or move to a more scalable way to make MongoDB data usable for analytics, BI, and AI.
Monalytica gives you a clearer path forward by keeping your data accessible where it already lives, without adding more duplication, delay, or complexity.
Replace the gap. Upgrade the model. Future-proof your access.
Looking for a replacement for MongoDB BI Connector?
Monalytica helps you preserve access to MongoDB data for reporting and analytics while taking a major step forward in usability, architecture, and AI readiness.
