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Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations

Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations

By: Fexingo
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Lucas and Luna explore the landscape of database technology, from relational SQL systems to document-based NoSQL and emerging storage paradigms. Each episode examines a specific database model—columnar stores, graph databases, time-series engines, or serverless SQL—and dissects its architecture, performance characteristics, and real-world tradeoffs. Lucas brings a journalist's rigor, questioning vendor claims and surfacing benchmark data; Luna pushes back with practitioner experience, asking how these systems behave under production loads. Together they compare when PostgreSQL's mature indexing wins over MongoDB's flexible schema, or why Snowflake's cloud-native approach may not suit every analytical workload. The show also probes deeper: the economics of data storage, the rise of NewSQL, and the implications of data gravity. Listeners will walk away understanding not just which database to choose, but why one design philosophy beats another for a given problem. What happens when your application's read pattern shifts from row-based to columnar? How do you evaluate consistency models without oversimplifying? This is the conversation for data engineers, architects, and technical leaders who need to make informed storage decisions. #SQL #NoSQL #DatabaseTech #DataStorage #PostgreSQL #MongoDB #Snowflake #TimeSeriesDB #GraphDatabase #ColumnarStorage #NewSQL #DataEngineering #Technology #FexingoBusiness #BusinessPodcast #DatabaseArchitecture #DataGravity #Benchmarking Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • Why Your Database Needs a Concurrent Backup Strategy

    Why Your Database Needs a Concurrent Backup Strategy
    Jun 9 2026
    Episode 40 of Database Tech with Fexingo dives into the overlooked risks of database backups under concurrent workloads. Lucas explains how PostgreSQL's `pg_dump` can cause hidden performance degradation when run during peak hours, citing a real-world case where a fintech platform saw query latency spike 300% due to backup-induced lock contention. Luna brings up MySQL's Percona XtraBackup and the trade-offs between physical and logical backups. Together they explore why a concurrent backup strategy—using tools like `pg_basebackup` or WAL archiving—is critical for high-availability systems in mid-2026. Specific, actionable, and backed by numbers. #DatabaseBackups #ConcurrentBackups #PostgreSQL #MySQL #pg_dump #WALArchiving #PerconaXtraBackup #LockContention #HighAvailability #FintechCaseStudy #QueryLatency #BackupStrategy #DataEngineering #TechPodcast #DatabaseTechWithFexingo #FexingoBusiness #BusinessPodcast #ITOperations Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • Why Database Scaling Fails Without Query Analysis

    Why Database Scaling Fails Without Query Analysis
    Jun 8 2026
    In this episode, Lucas and Luna dive into the silent killer of database performance: unoptimized queries that go unnoticed until the database is under real load. They examine a real-world case where a company's PostgreSQL instance ground to a halt because a single query was scanning millions of rows every five seconds — and how enabling pg_stat_statements and analyzing query patterns turned a 30-second query into 50 milliseconds. The hosts discuss why most teams focus on hardware scaling before looking at query behavior, the difference between sequential scans and index scans, and three practical steps to start query analysis today. Perfect for engineers, data architects, and anyone who's ever watched a database melt down during a traffic spike. #DatabaseScaling #QueryAnalysis #PostgreSQL #pg_stat_statements #SlowQueries #DatabasePerformance #SQL #Indexing #SequentialScan #DatabaseOptimization #BackendEngineering #DataEngineering #TechPodcast #DatabaseTips #PerformanceTuning #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • Why Database Connectionless Architecture Is the Future

    Why Database Connectionless Architecture Is the Future
    Jun 8 2026
    In Episode 38 of Database Tech with Fexingo, Lucas and Luna explore the emerging concept of connectionless database architectures. Using CockroachDB and Google Cloud Spanner as concrete examples, they explain how eliminating persistent TCP connections can reduce latency, improve scalability, and simplify connection management for modern distributed systems. The hosts discuss the HTTP/gRPC-based request model, compare it to traditional connection pooling, and weigh the trade-offs in consistency and complexity. A must-listen for engineers evaluating next-gen database designs. #ConnectionlessArchitecture #CockroachDB #GoogleCloudSpanner #DatabaseDesign #DistributedSystems #HTTP #gRPC #ConnectionPooling #Scalability #Latency #TechPodcast #DatabaseTech #SQL #NoSQL #DataStorage #Engineering #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    10 mins
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