Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations
FexingoLucas 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 v... more
| Publishes | Daily | Episodes | 149 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Business | |||
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Latest Episodes
Episode 149 of Database Tech with Fexingo drills into the hidden cost of missing statistics. Hosts Lucas and Luna explain why database query optimizers rely on histograms to estimate row counts — and what happens when those estimates are stale or mis... more
Lucas and Luna dive into the hidden role of histograms in database query planning. When PostgreSQL's planner assumes uniform data distribution, it can pick a disastrously slow plan — like choosing a nested loop join against a table with millions of r... more
In this episode of Database Tech with Fexingo, Lucas and Luna explore the role of sparse indexes in database performance, contrasting them with dense indexes and explaining why they are a critical tool for large-scale data retrieval. Using the exampl... more
When a database outgrows a single machine, sharding spreads data across clusters — but naive range-based sharding concentrates hot spots and makes resharding a nightmare. In this episode, Lucas and Luna break down why consistent hashing, not simple m... more
In Episode 145 of Database Tech with Fexingo, Lucas and Luna dive into the hidden costs of false positives in database Bloom filters. They explore how a classic space-saving optimization can backfire when filter parameters are tuned wrong, using a re... more
In this episode of Database Tech with Fexingo, Lucas and Luna dive into multiversion concurrency control, the technique that lets Postgres and other databases run reads and writes simultaneously without stepping on each other. They explain why snapsh... more
In this episode of Database Tech with Fexingo, Lucas and Luna tackle a problem every database engineer has hit: you write a record, then read it back, and it's not there. That's replication lag, and it can break the read-your-writes consistency your ... more
Lucas and Luna dive into the hidden fragility of autoincrement primary keys when databases scale horizontally. They use the concrete example of a social platform that hit a key collision after sharding, explaining why the classic INTEGER AUTOINCREMEN... more
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Apple Podcasts | #166 |  South Korea/Business |
Apple Podcasts | #214 |  Brazil/Business |
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
The show delivers practitioner-focused discussions around database technologies, comparing SQL, NoSQL, and emerging storage paradigms through deep dives into architecture, performance characteristics, and real-world tradeoffs. Episodes frequently center on topics like indexing strategies, caching, connection pooling, replication, and migration workflows, often anchoring concepts with concrete, production-oriented examples and quantified results. A standout pattern is the rigorous, hands-on interrogation of vendor claims and design decisions, paired with back-and-forth questions that push for practical implications under real workloads. This combination—clear explanations, concrete numbers, and production perspective—helps listeners decide n... more
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this podcast launched 3 months ago and published 149 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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