#What Is Postgre Sql

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#What Is Postgre Sql Reel by @yako_tek - PostgreSQL vs MySQL - Why Developers Are Switching
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YA
@yako_tek
PostgreSQL vs MySQL — Why Developers Are Switching
#What Is Postgre Sql Reel by @tech_tonic_s - ▶️ Using multiple databases is a waste of money when PostgreSQL ("Postgres") can handle most requirement from a traditional relational database (RDBMS
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@tech_tonic_s
▶️ Using multiple databases is a waste of money when PostgreSQL ("Postgres") can handle most requirement from a traditional relational database (RDBMS) into a highly extensible, "all-in-one" data platform. ✅ Postgres often eliminates the need for specialized systems (like MongoDB, Redis, or Elasticsearch) for 99% of use cases, saving on infrastructure, licensing, and, most importantly, engineering overhead. ▶️ Why Postgres "Does It All" (The Case for Consolidation) ➡️ Document Store (JSONB): Postgres allows you to store and query JSON data, offering performance that rivals MongoDB. ➡️ Vector Search (AI/LLMs): With pgvector, you can store, index, and search embeddings for AI applications directly in SQL. ➡️ Time-Series Data: Extensions like TimescaleDB turn Postgres into a high-performance time-series database, handling IoT and metrics data efficiently. ➡️ Full-Text Search: pg_textsearch provides advanced search capabilities, including ranking and synonym mapping, removing the need for Elasticsearch in many cases. ➡️ Geospatial (GIS): PostGIS is the industry-standard for geospatial data, often superior to specialized proprietary GIS software. ➡️ Queuing: pgmq or SKIP LOCKED patterns allow Postgres to handle messaging queues. ➡️ Massive Horizontal Scaling: Postgres is designed to "scale up" (more CPU/RAM) rather than "scale out" (horizontal sharding). ➡️ Extreme Read-Heavy Latency: If you need single-digit millisecond responses on a massive, read-only dataset that exceeds memory, specialized in-memory solutions might be necessary. ➡️ Complex Graph Relationships: While Postgres can do recursive queries, a dedicated graph database like Neo4j is superior for complex, deep-path relationship modeling #postgres #sql #dbmanagement #postgresql
#What Is Postgre Sql Reel by @dhruvtechbytes (verified account) - After Postgres 18, your cache layer might just become optional • Threads don't wait on blocking I/O anymore • Records are fetched together, not one-
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@dhruvtechbytes
After Postgres 18, your cache layer might just become optional • Threads don’t wait on blocking I/O anymore • Records are fetched together, not one-by-one • Faster data access = less dependency on external caching Database just got smarter ⚡ #postgresql #database #SystemDesign #engineers [tech, system design, databases, developers, Postgresql, caching, redis]
#What Is Postgre Sql Reel by @whythisintech - Postgres doesn't use threads It forks One connection One process More users → more memory At 100 users Your RAM starts sweating 😬 Connections aren
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@whythisintech
Postgres doesn’t use threads It forks One connection One process More users → more memory At 100 users Your RAM starts sweating 😬 Connections aren’t free They multiply #postgres #databases #performance #backend #engineering
#What Is Postgre Sql Reel by @morethancodebase (verified account) - PostgreSQL uses MVCC (Multi-Version Concurrency Control) to handle concurrency. Instead of updating rows in place, every UPDATE creates a new row vers
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@morethancodebase
PostgreSQL uses MVCC (Multi-Version Concurrency Control) to handle concurrency. Instead of updating rows in place, every UPDATE creates a new row version, while the old one is just marked invalid. These invalid but still stored rows are called dead rows (dead tuples). They stay on disk and keep consuming space. PostgreSQL cleans them using Autovacuum, a background process that removes dead rows and makes space reusable. Autovacuum runs when the number of dead rows crosses a threshold based on table size, not on time. But in write-heavy systems, if the write rate becomes higher than the garbage-collection (vacuum) rate, dead rows accumulate, tables bloat, and performance starts degrading. #database #scaling #systemdesign #distributedsystems #softwarearchitecture
#What Is Postgre Sql Reel by @supabasecom (verified account) - Postgres is better than any other database… #postgres #database #webdevelopment
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@supabasecom
Postgres is better than any other database… #postgres #database #webdevelopment
#What Is Postgre Sql Reel by @_natville_ - 📝 Publish Post Sequence Diagram | VentingApp #buildinpublic #saas #webapp I created the Publish Post Sequence Diagram for VentingApp. For business
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@_natville_
📝 Publish Post Sequence Diagram | VentingApp #buildinpublic #saas #webapp I created the Publish Post Sequence Diagram for VentingApp. For business inquiries, send me an email at nathanyilmaasrat@gmail.com
#What Is Postgre Sql Reel by @supabasecom (verified account) - Why are Developers still writing API's? PostgREST + RLS is completely secure.
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@supabasecom
Why are Developers still writing API’s? PostgREST + RLS is completely secure.
#What Is Postgre Sql Reel by @cloudwithsingh - If you're not using pagination, your database is silently suffering. ➡️ Offset-based pagination (works, but slow at scale) Uses LIMIT + OFFSET. Exam
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@cloudwithsingh
If you’re not using pagination, your database is silently suffering. ➡️ Offset-based pagination (works, but slow at scale) Uses LIMIT + OFFSET. Example: Page 10 → LIMIT 20 OFFSET 180 Database skips first 180 rows and returns rows 181–200 → slow for big tables. ⸻ ➡️ Cursor-based pagination (used by big apps) Fetch records after the last seen item, not by page number. Example: Twitter loads tweets after tweet_id = 98765, not “page 10”. Fast even with millions of rows. ⸻ ➡️ Always Use Stable Sorting Pagination only works if the order never changes. Example: ORDER BY created_at DESC ensures posts don’t jump or repeat. ⸻ ➡️ Stable Even When Data Changes New records don’t shift pages or cause duplicates. Example: New tweets arrive → your feed position stays correct. ⸻ ➡️ Return Only What the List Needs Avoid loading heavy data during pagination. Example: Product list → id, name, price (not reviews, images, descriptions). ⸻ ➡️ Cache the First Page Most users never scroll far. Example: Amazon homepage → page 1 served from cache instantly. ⸻ Interview takeaway: OFFSET works for small data. Cursor-based pagination + stable sorting is how real systems scale. #api #backenddeveloper #developer #coding #techreels (pagination design, database performance, cursor pagination, offset pagination, system design interview, backend engineering, scalable APIs, SQL optimization, large datasets, API performance)
#What Is Postgre Sql Reel by @alex_pro_ai - Comment "Postgres" to get the code! In this reel, I show how to build a simple REST API using Node.js, Express, and PostgreSQL. We connect to Postgre
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@alex_pro_ai
Comment “Postgres” to get the code! In this reel, I show how to build a simple REST API using Node.js, Express, and PostgreSQL. We connect to Postgres with a connection pool, create a clean /users endpoint, and return data as JSON. Perfect if you’re learning backend development or want a minimal, real-world API example 🚀

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