Discover why 73% of MongoDB BI projects fail and how to avoid common pitfalls.
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MONGODB ANALYTICS
HOW TO OVERCOME CHALLENGES AND UNLOCK REAL-TIME INSIGHTS
MongoDB powers modern apps, but 73% of MongoDB BI projects fail due to underestimated integration complexity
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MongoDB’s flexible, schema-less model accelerates app development—but creates major roadblocks for analytics. Traditional BI tools struggle with nested documents, schema drift, and costly ETL pipelines. The result: delayed insights, frustrated teams, and ballooning costs.
This whitepaper breaks down the challenges of MongoDB analytics, from $lookup bottlenecks to adoption gaps, and compares the major options available: SQL connectors, ETL + data warehouses, open source dashboards, and NoSQL-native platforms like Knowi.
Whether you’re evaluating BI connectors or looking to unify SQL, NoSQL, APIs, and SaaS data, this guide gives you a clear framework for making the right decision, complete with real-world case studies, TCO breakdowns, and a 30-day roadmap to implementation.
Whether you’re evaluating BI connectors or looking to unify SQL, NoSQL, APIs, and SaaS data, this guide gives you a clear framework for making the right decision, complete with real-world case studies, TCO breakdowns, and a 30-day roadmap to implementation.
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