What AI says about PostgreSQL
Data as of Oct 26, 2026Based on 39,660 AI responses
Reviewed by Dimitry Apollonsky
AI summary
PostgreSQL is an open-source object-relational database system that supports vector storage and similarity search through extensions like pgvector. It comes up when developers look to run on-premise vector search, combine relational data with semantic embeddings, and implement hybrid search without adding a separate standalone system.
Mentioned in
8%
of AI answers about PostgreSQL and its rivals · since Jul 5
The market map
Developer Backend & Vector Search ServicesMentioned in
- 1QdrantMentioned in 48%Avg. position 3.6
- 2PineconeMentioned in 41%Avg. position 4.3
- 2MilvusMentioned in 40%Avg. position 4.7
- 4WeaviateMentioned in 36%Avg. position 4.7
- 5SupabaseMentioned in 29%Avg. position 3.5
- 5pgvectorMentioned in 27%Avg. position 5.5
- 7FirebaseMentioned in 25%Avg. position 4.5
- 8PostgreSQLMentioned in 22%Avg. position 6.1
- 9AppwriteMentioned in 18%Avg. position 5.0
- 10AWSMentioned in 11%Avg. position 7.0
- 11ConvexMentioned in 9%Avg. position 5.1
- 11MongodbMentioned in 8%Avg. position 6.5
- 15ElasticsearchMentioned in 6%Avg. position 7.6
- 15Zilliz CloudMentioned in 6%Avg. position 5.6
Where PostgreSQL ranks in AI
MarketRank · Mentioned in
- Developer Backend & Vector Search Services#8 · 22%
- Database Migration and Schema Management Tools#8 · 11%
- Vector Database Platforms#8 · 20%
- Real-Time Analytics Data Platforms#8 · 10%
- Maps, Navigation & Location APIs#15 · 9%
- Database DevOps and Monitoring Tools#16 · 3%
- LLM Agent Frameworks and Tooling#19 · 7%
- Database Performance Monitoring Tools#21 · 4%
- SCADA and HMI Software Platforms#22 · 5%
- Kubernetes and Container Platform Tools#22 · 7%
- Authentication Service Platforms#23 · 2%
- RAG Platforms and Retrieval Tools#24 · 7%
Topics where AI mentions PostgreSQL
TopicMentioned in · on this topicRank
- Local development prototypingDeveloper Backend & Vector Search Services74%Rank #2
- Vector database for generative AIDeveloper Backend & Vector Search Services68%Rank #3
- Open-source app backendDeveloper Backend & Vector Search Services52%Rank #4
- Self-hosted open-source vector databaseDeveloper Backend & Vector Search Services31%Rank #5
- Time-filtered vector analysisDeveloper Backend & Vector Search Services37%Rank #6
- Access-controlled semantic searchDeveloper Backend & Vector Search Services15%Rank #6
- Backend-as-a-service platformsDeveloper Backend & Vector Search Services18%Rank #7
- Multi-tenant vector isolationDeveloper Backend & Vector Search Services13%Rank #7
- Hosted embeddings with tenant isolation
- Mobile app backend platform
- Vector databases with metadata filtering
- Backend as a service with vector search
- Low-latency enterprise RAG
- High-throughput vector search
- IoT time-series data storage and management
- Mobile game backend services
- Hybrid vector and keyword search
- Managed embedding generation
- Backend platforms for web developers
- Auditable transparent resume screener
- Database migration workflows
- Multi-brand CRM management
- AI query optimization tool for data warehouses
- Agent memory integration
- Custom map tile generation
- Self-hosted open source vector database
- Enterprise search integration
- No-code custom business application platforms
- Dashboard query performance
- DevOps agent framework for self-healing systems
- Accurate mapping with reliable sourcing
- Multi-step stateful task management
- ML experiment tracking tools
- Interpretable maintenance models
- Contract software developers for non-technical founders
- Hybrid vector and keyword search
- Local development prototyping
- Scalable URL shortener API with custom domains
- Web research agent frameworks
- Zero-downtime database migration
- Time-series historian for pipeline data
- Conversational AI agent framework
- File upload API and storage service
- Containerized development environment
- LLM cost monitoring software
- Human-in-the-loop task orchestration
- Email list cleaning
- Betting strategy backtesting
- Self-hosted open-source LLM management platform
- Self-hosted open-source RAG framework
- Managed vector databases for production RAG
- Image similarity search APIs
- Least-cost payment routing
- API-first AI customer support bot builder
- Local LLM hosting and management
- Budget-friendly sso
- Live sports streaming integration
- Disaster relief volunteer coordination
- No-code mobile app builders
- AI agent orchestration with API integration
- In-warehouse generative AI
- Open-source API gateway for internal LLM rate limiting and caching
- Open-source API gateway management
- Self-hosted whiteboard access
- LLM integration into existing applications
- Monitoring platforms with generous custom automation API access
- Enterprise form workflows with logic and payments
- Budget geolocation apis
- LLM knowledge graph databases
- Livestock ear tag sensors
- Zero-retention RAG platform for trade secrets
- Human-in-the-loop Python orchestration libraries
- Self-hosted CI/CD pipeline
- Crypto trading bot platforms
- Cloud development environments
- Historical blockchain data indexing
- Open-source monitoring tools
- Legacy code modernization
- Maps and geolocation APIs
- Document parsing for LLM pipelines
- Forest management planning
- Custom report data pipelines
- Reverse ETL data sync
- Multi-agent orchestration
- Sentiment and topic analysis APIs
- Cloud data warehouse
- No-code and low-code AI agent building
- Enterprise GIS platforms for utility asset inspection
- Database forensic examination services
- API-first satellite analytics providers for geospatial dashboards
- Default-secure cloud infrastructure for startups
- Brand impersonation and phishing protection
- Embedded analytics for SaaS products
- Career change certifications
- Marketing dashboard platforms with data warehouse connectivity
- HIPAA compliant low-code platforms for healthcare tools
- Dashboard and data visualization tools
- Alternative investment platforms for art or wine
- Automated decision capture
- Managed embedding APIs
- RAG document reranking
- Audit and fraud data analytics
- API monetization
- Tabular data synthesis
- Internal developer platform framework for large organizations
- Semantic product search
- NPS and customer satisfaction surveys
- Data science training programs
- Production-grade NLP inference API platform
- Real-time edge analytics
- Offline field data collection
- CEA farm management
- Sports bet tracking apps
- HIPAA-compliant cloud infrastructure
- Supervised AI tutoring
- Minimal platform engineering stack
- PII redaction for LLM pipelines
- Data analyst training programs
QuestionMentioned in
- what is the best database?on this questionMentioned in 100%
- For a startup adding embeddings search, which vector store is cheapest to run?on this questionMentioned in 48%
- I need a database that is ACID compliant but does not require a schema.on this questionMentioned in 52%
- Which database solutions offer the best developer experience?on this questionMentioned in 40%
How AI describes PostgreSQL
Common descriptions
excellent · robust · powerful · postgresql · reliable · open-source
Tone of AI’s statements about PostgreSQL
- Positive27%
- Neutral70%
- Mixed1%
- Negative1%
Question: I want to run a vector database on-premise for data privacy. What is the best open-source vector database that is easy to deploy and scale?
Google AI ModeOct 22, 2026
An extension that turns your standard, trusted PostgreSQL database into a vector database.
ChatGPT SearchOct 1, 2026
Instead of adding another database, you store embeddings directly in PostgreSQL
Google AI ModeAsk Google AI Mode yourself (opens in a new tab)ChatGPT SearchAsk ChatGPT yourself (opens in a new tab)
Question: I need a dashboard to monitor "token burn rate" across all my internal AI apps.
Google AI ModeOct 22, 2026
PostgreSQL / ClickHouse: Good if you want granular, event-level logging
Google AI ModeAsk Google AI Mode yourself (opens in a new tab)ChatGPT SearchAsk ChatGPT yourself (opens in a new tab)
How prominently AI mentions PostgreSQL
Position in answers
- Named first8%
- 2nd or 3rd13%
- Later79%
Each engine’s share of its own answers across PostgreSQL’s markets · since Jul 5
- ChatGPT Search10%
- Google AI Mode6%
Insights for PostgreSQL
Since Jul 5
Gap between platforms: ChatGPT Search mentions PostgreSQL 5 points more often than Google AI Mode in Developer Backend & Vector Search Services
ChatGPT SearchChatGPT Search24%Google AI ModeGoogle AI Mode19%
Sources AI cites
postgresql.org 3%Other sites 97%
- 8%
- Which database do you recommend for read heavy applications · 1% (opens in a new tab)
- Which Database do you use or recommend the most? - Reddit · 1% (opens in a new tab)
- So how do you really pick a database for a new project ? : r/webdev · 1% (opens in a new tab)
- What data warehouse to pick?! : r/dataengineering · <1% (opens in a new tab)
- What database is good for a beginner? · <1% (opens in a new tab)
- I asked "PostgreSQL user here—what database is everyone else using?" Here's what people said. · <1% (opens in a new tab)
- Best choice for multi-model (relational + graph) database? : r/Database · <1% (opens in a new tab)
- Best Vector DB for production ready RAG ? · <1% (opens in a new tab)
- What are some popular database options for building a web ... · <1% (opens in a new tab)
- What made you choose your current database? · <1% (opens in a new tab)
- 5%
- Picking the right Database for your Project (Avoid Common Mistakes!) · 1% (opens in a new tab)
- Picking the right Database for your Project (Avoid Common Mistakes!) · 1% (opens in a new tab)
- What database should you use? · <1% (opens in a new tab)
- Vector Database Explained for AI Agents & RAG Systems · <1% (opens in a new tab)
- The Best AI Tools for Developers in 2026 (That I Actually Use) · <1% (opens in a new tab)
- PostgreSQL vs MySQL: Which SQL Database Should You Choose? | Uplatz · <1% (opens in a new tab)
- Neon Database Explained: Why Databricks Paid $1 Billion · <1% (opens in a new tab)
- From Zero to AI Hero with HPE Private Cloud and Storage Solutions - YouTube · <1% (opens in a new tab)
- Flavors of PostgreSQL®: Choosing the Right Database for ... · <1% (opens in a new tab)
- Vector Search for Cassandra Operators · <1% (opens in a new tab)
- 3%
- Best open source vector database solutions: Top 8 in 2026 · 1% (opens in a new tab)
- Top 10 open source databases: Detailed feature comparison · 1% (opens in a new tab)
- Use Your Data in LLMs With the Vector Database You Already Have: The New Stack · <1% (opens in a new tab)
- Best managed open source databases for enterprise: Top 5 in 2025 · <1% (opens in a new tab)
- Best open source vector database software: Top 10 in 2026 · <1% (opens in a new tab)
- pgvector Hybrid Search: Benefits, Use Cases & Quick Tutorial · <1% (opens in a new tab)
- What Is a Vector Database? Top 10 Open Source Options · <1% (opens in a new tab)
- 3%
- Medium · 1% (opens in a new tab)
- Vector Databases Explained: The Missing Piece in Your AI Stack · <1% (opens in a new tab)
- Oracle AI Vector Search: Querying Vectors and Optimizing with Indexes · <1% (opens in a new tab)
- Medium · <1% (opens in a new tab)
- PostgreSQL + pgvector: Bringing AI Embeddings to Your Database | by M. Ali Khan | Medium · <1% (opens in a new tab)
- Semantic Search and Information Retrieval with Transformers | by Rick Hightower · <1% (opens in a new tab)
- JSONB in PostgreSQL: The Fast Lane to Flexible Data Modeling · <1% (opens in a new tab)
- Top 12 Developer Tools you SHOULD be using in 2026 · <1% (opens in a new tab)
- 15 PostgreSQL Extensions You Should Know in 2026 · <1% (opens in a new tab)
- Full-Stack Development Tools: Essential Resources for 2025 | by Emily Smith | Medium · <1% (opens in a new tab)
- Owned3%
- PostgreSQL: The world's most advanced open source database · 2% (opens in a new tab)
- PostgreSQL: About · <1% (opens in a new tab)
- PostgreSQL: Documentation: 16: 8.14. JSON Types · <1% (opens in a new tab)
- PostgreSQL: Documentation: 18: 36.1. How Extensibility Works · <1% (opens in a new tab)
- PostgreSQL: Documentation: 18: 9.16. JSON Functions and Operators · <1% (opens in a new tab)
- 2%
- My hands-on experience with Qdrant and Docling (and Ollama) · <1% (opens in a new tab)
- Backend Basics for Frontend Engineers: Dive into SQL and APIs with NodeJS, Prisma, and PostgreSQL · <1% (opens in a new tab)
- AWS Vector Databases – Part 2: Search, Filtering, and Chunking · <1% (opens in a new tab)
- The top 15 developer productivity tools in 2026 - DEV Community · <1% (opens in a new tab)
- Navigating Database Trends: NoSQL, PostgreSQL, & Beyond for Modern Data · <1% (opens in a new tab)
- The Modern Backend Stack Explained · <1% (opens in a new tab)
- Vector Databases Guide: RAG Applications 2025 - DEV Community · <1% (opens in a new tab)
- How to Choose the Ideal Database for Your App: Prototypes, App at Scale, and Event-Driven App - DEV Community · <1% (opens in a new tab)
- Everything you need to know about NoSQL databases · <1% (opens in a new tab)
- Building AI-Powered Search for Your App: Vector Search, Hybrid Search ... · <1% (opens in a new tab)
- 2%
- Postgres: Most Admired Database 2023 | EDB · 1% (opens in a new tab)
- Discover Why Developers Love Postgres | EDB · <1% (opens in a new tab)
- Postgres Database Providers: A Comparative Analysis | EnterpriseDB · <1% (opens in a new tab)
- How Postgres with pgvector Powers AI Use Cases | EDB · <1% (opens in a new tab)
- Securing Open Source Software with EDB Postgres AI · <1% (opens in a new tab)
The page AI cites most for PostgreSQL
