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NOMy top 3 favorite ways of running a postgres database! Let me know what your favorite postgres platform is.
#postgres
@notifoxhq
#What Is Postgres Database
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LEOne of the most popular pieces of technology for developers is Postgres. Here's a short history of how Postgres got started and why it became so popular. #technology #programming #software
@lewismenelaws
125.1K
PAFree PostGres Database for your project 🛢
This website helps you to make a free PostGres database with 512MB of RAM and 1 GB of storage for 3 months.
Follow @the.ai_kid for more on Tech
#postgres #database #storage #free #developer
@parasmadan.in
41.1K
ARSystem Design: Yelp
This is a classic design with a relational database (Postgres) object store (s3) and a search cluster (elastic search). Let me know what y’all think or would do differently! #coding #programming #systemdesign #csmajors
@arjay_the_dev
3.6K
JGThe Simple Mental Model
pgvector = Postgres with embeddings
Vector DB = search engine for embeddings
Both work.
Trade-offs are scale, latency, and operations.
⸻
What pgvector Gives You
• One datastore (SQL + metadata + embeddings together)
• ACID transactions + mature Postgres ecosystem
• ANN search (HNSW / IVF) built in
• Cheapest and simplest if you already run Postgres
Great when search is part of your system, not the whole system.
⸻
pgvector Limits
• Mostly vertical scaling
• High QPS search can compete with OLTP workload
• Needs tuning at scale
• Harder beyond tens of millions of vectors
It’s “good enough” — not infinite scale.
⸻
What Dedicated Vector DBs Give You
(Pinecone, Qdrant, Milvus, Weaviate, etc…)
• Purpose-built ANN engines
• Horizontal scaling
• Stable latency at high QPS
• Hybrid search + filtering features
• Managed infra options
Best when search is your product.
⸻
When pgvector Is the Right Choice
✔ Few million vectors
✔ Moderate traffic
✔ Strong relational queries
✔ MVP or internal tools
✔ Already using Postgres
✔ Cost-sensitive setup
Simple. Cheap. Sufficient.
⸻
When a Vector DB Is the Right Choice
✔ Tens–hundreds of millions of vectors
✔ High QPS + strict latency
✔ Multi-tenant large workloads
✔ Search is core product value
✔ Need horizontal scaling
Performance and scale matter more than simplicity.
⸻
The Rule of Thumb
Small–medium scale → pgvector
Large-scale search system → vector DB
Start simple. Scale when needed.
⸻
Bottom line:
You don’t choose tools by hype.
You choose them by scale and workload.
Follow the series for more 🚀
⸻
Tags:
[“ai”, “llm”, “rag”, “pgvector”, “postgres”, “vectordatabase”, “pinecone”, “qdrant”, “milvus”, “systemdesign”, “mlengineering”, “mlops”, “scalableai”, “search”, “datainfrastructure”]
@jganesh.ai
10.4K
AIIntegrate postgres db for free !!
@aiburner_official
75
EMWhat is ProgreSQL?
PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance. PostgreSQL is an open source object-relational database management system (ORDBMS) with an emphasis on data integrity and on standards-compliance. Often referred to as Postgres and has high scalability.
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#progresSQL #nodejs #angular #girlswhocode #womenintech #womenwhocode #coding #programming #womeninstem #developer #code #girlsintech #programmer #tech #100daysofcode #softwaredeveloper #webdeveloper #codinglife #javascript #learntocode #computerscience #coder #developerlife #devlife #frontenddeveloper #technology #softwareengineer #html #python #employHER
@employherinc
17.9K
RE🔍 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 & 𝗦𝘁𝘂𝗱𝗲𝗻𝘁𝘀!
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@research_et_all
17.1K
DE🧠 Yes they absolutely can👍🏻
In PostgreSQL a schema is just a namespace inside a database. So you can have schema1.users and schema2.users in the same database without any issue.
- Now the real question is what happens when you run
select * from users;
- How does Postgres know which one to pick???
1️⃣ It uses something called search_path.
search_path is basically an ordered list of schemas.
2️⃣ PostgreSQL checks them one by one in that order and picks the first table that matches the name. If it does not find any match you get relation does not exist.
This is where many production bugs happen. Your table exists but your search_path is pointing somewhere else.
🧠 Best practice in serious backend systems always use fully qualified names like schema1.users or carefully control search_path at the role level.
If you’re serious about building a career in AI, I’ll personally guide you.
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@deepchandoa.ai
99.0K
DHAfter 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]
@dhruvtechbytes
19.7K
PAI did the digging so you don’t have to! 👀
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@paperpal_cactus
263
BR#sqlserver #sql #dba #database #azure #microsoft #hacks #tips #brentozar #pollgab #computerscience #computerconsulting #database #databaseadministrator #careergoals #spanishsubtitles #Postgres
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