Retrospective: 6 Months Using MongoDB 7.0 for Our AI/ML Pipeline – 30% Faster Document Storage

Retrospective: 6 Months Using MongoDB 7.0 for Our AI/ML Pipeline – 30% Faster Document Storage When we set out to modernize our AI/ML pipeline in Q4 2023, we needed a document store that could handle high-throughput training data ingestion, low-latency model artifact storage, and seamless integration with our existing Python-based ML stack. After evaluating Cassandra, PostgreSQL, and MongoDB 7.0, we chose MongoDB 7.0 for its native vector search support, flexible schema design, and proven scalab