MongoDB
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Back in the aughts, relational databases were choking on the sheer volume of data being generated, and the cries for something… different grew deafening. MongoDB emerged, promising a flexible, schema-less haven for unstructured and semi-structured data. Quite clever, really, though one does wonder if abandoning decades of relational wisdom was truly the answer. It traded ACID compliance for eventual consistency, a gamble that appealed to developers building at scale, and frankly, tired of endless schema migrations.
Today, MongoDB is a heavyweight, powering everything from e-commerce platforms to IoT applications. It’s essentially the lovechild of a document store and a key-value cache, offering horizontal scalability that traditional SQL databases often struggle to match. While Cassandra and Couchbase offer similar capabilities, MongoDB’s relatively easy learning curve and robust tooling have cemented its position as a leading NoSQL contender. It’s not a silver bullet, mind you, and data integrity remains a constant concern, but for certain workloads, it’s undeniably effective—and remarkably popular.
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Jobs in using MongoDB for but please no
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data engineer
Lead Software Engineer @ swiss-re
ES | 2025-12-28
| EUR
60000 - 100000
/ year
Lead Software Engineer at iptiQ by Swiss Re reads like a proper grown-up, cloud-native role: own cross-domain initiatives, influence architecture, and shepherd teams through RFCs and DoR/DoD while...
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Cloud Computing, Analytics, SaaS, AWS, Java, Docker, Kubernetes, Kafka, MongoDB, PostgreSQL, React, TypeScript, CI/CD, GitLab, Prometheus, ELK, Kibana, Grafana, Management, API |
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