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Yes we have document based DBs but man, I still enjoy running SQL queries ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ #SQL #RelationalDatabases #Developers #PostgreSQL
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AI is NOT replacing relational databases in big enterprises. Period. Itโ€™s adding a powerful semantic memory layer on top โ€” vector databases AI models โ€” to handle what relational systems were never built for: meaning-based search over unstructured data, RAG, semantic similarity, etc. The core transactional, structured world still runs on battle-tested relational DBs (PostgreSQL, Oracle, SQL Server, etc.) for good reason: โ€ข ACID guarantees โ€ข Complex joins & aggregations โ€ข Compliance, auditing, financial integrity โ€ข High-concurrency operational workloads AI/LLMs are probabilistic โ€” great at reasoning and discovery, terrible as systems of record. You donโ€™t want hallucinations in your balance sheet or regulatory reports. Whatโ€™s actually happening in 2026: โ€ข Many enterprises are extending existing relational DBs with vector capabilities (pgvector, Oracle 26ai vectors, SQL Server vector search, etc.) โ€ข Hybrid architectures win: relational for structured facts filters, vector layer for semantic retrieval โ€ข Purpose-built vector DBs still shine for massive-scale pure-semantic workloads, but theyโ€™re complements, not replacements Will AI ever fully eliminate relational databases for big enterprise? Highly unlikely โ€” not in the next 10โ€“20 years, and probably never. The need for deterministic, auditable, transactional data isnโ€™t going away. Relational systems are evolving with AI, not being wiped out by it. Bottom line: Build hybrid. Relational semantic layer = future-proof enterprise data architecture. #ArtificialIntelligence #RelationalDatabases #VectorDatabases #DataArchitecture #EnterpriseSystems #MachineLearning #FutureOfData #AIinfrastructure #TechLeadership #SystemsEngineering
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AI is not replacing relational databases. It is adding a semantic memory layer (vector databases AI models) on top of them. #ArtificialIntelligence #RelationalDatabases #DataArchitecture #EnterpriseSystems #MachineLearning #SystemsEngineering #TechLeadership #FutureOfData #AIInfrastructure
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Question for AI engineers and enterprise architects: Right now almost all structured enterprise data is stored in relational databases. Master data โ€ข Customers โ€ข Vendors โ€ข Products Transactional data โ€ข Orders โ€ข Payments โ€ข Inventory โ€ข Financial records For 40 years this model has powered ERP, banking, telecom, and government systems. AI is introducing new concepts: โ€ข embeddings โ€ข vector databases โ€ข semantic search โ€ข AI agents But let us step back and think from first principles. Financial transactions, compliance records, inventory control, and enterprise systems require: โ€ข strict schema โ€ข ACID transactions โ€ข referential integrity โ€ข deterministic queries These are foundations of relational databases. My view: Relational databases are irreplaceable. AI will add new layers (vector search, knowledge retrieval, semantic context), but the core transactional backbone of enterprises will remain relational. New layers will evolve. The foundation will stay. #ArtificialIntelligence #RelationalDatabases #DataArchitecture #EnterpriseSystems #MachineLearning #SystemsEngineering #TechLeadership #FutureOfData #AIInfrastructure
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โธป Question for AI engineers and enterprise architects: Right now almost all structured enterprise data is stored in relational databases. Master data โ€ข Customers โ€ข Vendors โ€ข Products Transactional data โ€ข Orders โ€ข Payments โ€ข Inventory โ€ข Financial records For 40 years this model has powered ERP, banking, telecom, and government systems. AI is introducing new concepts: โ€ข embeddings โ€ข vector databases โ€ข semantic search โ€ข AI agents But let us step back and think from first principles. Financial transactions, compliance records, inventory control, and enterprise systems require: โ€ข strict schema โ€ข ACID transactions โ€ข referential integrity โ€ข deterministic queries These are foundations of relational databases. My view: Relational databases are irreplaceable. AI will add new layers (vector search, knowledge retrieval, semantic context), but the core transactional backbone of enterprises will remain relational. New layers will evolve. The foundation will stay. #ArtificialIntelligence #RelationalDatabases #DataArchitecture #EnterpriseSystems #MachineLearning #SystemsEngineering #TechLeadership #FutureOfData #AIInfrastructure
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Full-Stack Engineer Talent Network - Remote Jobs $70-$150 / hr Remote Full-Stack Engineer Expert Network to connect with leading AI labs and companies seeking Full-Stack Engineering expertise. This is an open application for future contract opportunities that match your background and interests. Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. About Projects Experts in our network contribute to: Training and evaluating AI models in Full-Stack Engineering Creating tasks and deliverables based on real-world scenarios Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week. What we're looking for: Professional experience in frontend development (React/Angular/Vue), backend development (Node.js/Django/Spring), relational & NoSQL databases Strong communication skills Ability to work independently in a remote environment How it works: This is not a specific job posting. By applying, you're joining our Full-Stack Engineer talent network. Apply once: Complete your profile by uploading your resume and confirming your work location. Get verified: We review your credentials and approve qualified experts. Stay connected: When projects need Full-Stack Engineering expertise, we match you to opportunities based on your expertise and project needs. Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. t.mercor.com/fWHFm #Professional #frontenddevelopment #ReactAngularVue #backenddevelopment #NodejsDjangoSpring #relationaldatabases #NoSQLdatabases #Professionalremotejobs #frontenddevelopmentremotejobs #ReactAngularVueremotjobs #backenddevelopmentremotejobs #NodejsDjangoSpringremotejobs #relationaldatabaseremotejobs #NoSQLdatabaseRemotejobs #remotejobs #jobs #remotejob
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Relationships in data are the ones you can actually trust. Theyโ€™re the spine of reliable analytics. Have you ever traced a miscount back to a broken link? What small check would you add today to protect your next report? #TGIF #Data #RelationalDatabases #DataAnalytics
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Just completed โ€œIntroduction to Relational Databases in SQLโ€ on DataCamp This course gave me a strong foundation in relational database design and SQL from a data engineering perspective. #SQL #RelationalDatabases #DataEngineering #DataAnalytics #LearningInPublic #DataCamp
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๐Ÿ’ผ Associate Business Analyst at Horizon Lane ๐Ÿ“ Austin, TX ๐Ÿ’ฐ 70K - 80K ๐Ÿ› ๏ธ #remotework #careers #microsoftoffice #googlesuite #jira #trello #confluence #spreadsheets #relationaldatabases ๐Ÿ”— applyfirst.app/jobs/9923a893โ€ฆ

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๐Ÿ’ผ Business Analyst at Crestfall Solutions ๐Ÿ“ Austin, TX ๐Ÿ’ฐ $70K - $80K ๐Ÿ› ๏ธ #techjobs #hiring #microsoftoffice #googlesuite #jira #trello #confluence #spreadsheets #relationaldatabases ๐Ÿ”— applyfirst.app/jobs/67e05380โ€ฆ

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๐Ÿ’ผ Business Graduate Analyst at Arvento A ๐Ÿ“ Texas, United States ๐Ÿ’ฐ 70K - 80K ๐Ÿ› ๏ธ #remotework #techhiring #microsoftoffice #googlesuite #spreadsheets #relationaldatabases #jira #trello #confluence ๐Ÿ”— applyfirst.app/jobs/8b841593โ€ฆ

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๐Ÿ’ผ Full Stack Engineer at Republican Jobs ๐Ÿ“ United States ๐Ÿ’ฐ $90,000โ€“$105,000 ๐Ÿ› ๏ธ #remotejobs #jobmarket #python #typescript #modernfrontendframeworks #restapis #relationaldatabases #sql #orms #automatedtestingframeworks #cicdpipelines Let us know if you are Interested ๐Ÿ‘‡
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๐Ÿ’ผ Staff Backend Engineer (Secure Policy) at Docker, Inc ๐Ÿ“ Seattle, WA ๐Ÿ’ฐ $195.4K - $275.6K ๐Ÿ› ๏ธ #hiring #itjobs #go #aws #githubactions #argocd #grafana #microservices #serverless #relationaldatabases #nonrelationaldatabases Let us know if you are Interested ๐Ÿ‘‡
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relationalDatabases redd.it/1pna7t7
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