{"schema_version":"onlylabs.public_signal.v1","title":"Scaleway Writing: NoSQL use cases: when to choose a NoSQL Database, and why","description":"Scaleway writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/0efec643-3476-4c19-a76f-07a9f9de3ffc","json_url":"https://onlylabs.fyi/signals/0efec643-3476-4c19-a76f-07a9f9de3ffc/signal.json","generated_at":"2026-06-07T21:15:43.82898+00:00","org":{"slug":"scaleway","name":"Scaleway","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/scaleway","dossier_json_url":"https://onlylabs.fyi/labs/scaleway/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/0efec643-3476-4c19-a76f-07a9f9de3ffc","signal_json":"https://onlylabs.fyi/signals/0efec643-3476-4c19-a76f-07a9f9de3ffc/signal.json","source":"https://www.scaleway.com/en/blog/no-sql-use-cases/","lab_dossier":"https://onlylabs.fyi/labs/scaleway","lab_dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis":"https://onlylabs.fyi/analysis/scaleway","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Scaleway published NoSQL use cases: when to choose a NoSQL Database, and why. 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From mobile apps and content platforms to IoT systems and global SaaS products, the shape of data is evolving faster than relational databases can keep up. NoSQL cloud databases (short for “Not Only SQL”) offer a flexible, scalable solution for handling this complexity. But when does it make sense to adopt NoSQL? What problems does it solve better than traditional databases? In this post, we explore three common and high-impact use cases for NoSQL, backed by real-world examples, and explain why it&#x27;s the right choice in each scenario. 1. Real-Time product analytics and event tracking Digital products today are instrumented to capture everything from button clicks and page views to user flows and performance metrics. This event data helps teams monitor usage trends , flag anomalies , and make data-informed decisions . Why NoSQL? NoSQL document databases like MongoDB excel at storing event logs in JSON format. Each log entry can..."},"evidence_pages":[{"url":"https://www.scaleway.com/en/blog/no-sql-use-cases/","final_url":"https://www.scaleway.com/en/blog/no-sql-use-cases/","title":"NoSQL use cases: when to choose a NoSQL Database, and why","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:15:43.82898+00:00","bytes":139956,"raw_path":"5501bed1e4c21839031e3334875010dda826c3987b649d91fe0fe3af102e8dd7.html","content_hash":"091091e0b315e74e3cc315683e41de285676cf1bdd209e3330643e65d4e38235","excerpt_chars":1200,"truncated":true,"excerpt":"NoSQL use cases: when to choose a NoSQL Database, and why Deploy • Walter Timmermans • 12/09/25 • 3 min read Modern applications generate and process more data than ever: often at massive scale, in varying formats, and under intense performance demands. From mobile apps and content platforms to IoT systems and global SaaS products, the shape of data is evolving faster than relational databases can keep up. NoSQL cloud databases (short for “Not Only SQL”) offer a flexible, scalable solution for handling this complexity. But when does it make sense to adopt NoSQL? What problems does it solve better than traditional databases? In this post, we explore three common and high-impact use cases for NoSQL, backed by real-world examples, and explain why it&#x27;s the right choice in each scenario. 1. Real-Time product analytics and event tracking Digital products today are instrumented to capture everything from button clicks and page views to user flows and performance metrics. This event data helps teams monitor usage trends , flag anomalies , and make data-informed decisions . Why NoSQL? NoSQL document databases like MongoDB excel at storing event logs in JSON format. 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