PostgresML VS Polygres
Compare PostgresML VS Polygres, what is the difference between PostgresML and Polygres?
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Summarize
PostgresML summarize
PostgresML is a complete MLops platform in a simple PostgreSQL extension. Build fast, simple and powerful models right inside your database.
PostgresML Landing Page
Polygres summarize
Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!
Polygres Landing Page
Compare Details
PostgresML details
| Categories | AI Developer Tools, AI App Builder, Large Language Models (LLMs) |
| PostgresML Website | https://postgresml.org?utm_source=toolify |
| Added Time | November 10 2023 |
| PostgresML Pricing | -- |
Polygres details
| Categories | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API, AI Search Engine |
| Polygres Website | https://polygres.com?utm_source=toolify |
| Added Time | August 26 2026 |
| Polygres Pricing | -- |
Comparison of usage
How to use PostgresML?
PostgresML can be used through SQL or SDKs in JS and Python. Users can perform tasks like text generation, embedding creation, and vector database operations directly within PostgreSQL. The platform supports various open-source models and allows for fine-tuning LLMs on user data.
How to use Polygres?
Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.
Compare Pros between PostgresML and Polygres
Core features of PostgresML
- Build and deploy ML models directly within PostgreSQL
- GPU-powered Postgres databases for AI applications
- Vector embedding and real-time output generation
- Integration with open-source models (Mistral, Llama, etc.)
- Support for SQL and SDKs in JS and Python
Core features of Polygres
- Unified relational, graph, vector, and full-text retrieval
- Native graph traversal over existing PostgreSQL foreign keys
- Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
- Token-ready context assembly for grounded AI agents
- Shortest-path, neighborhood, relationship, and multi-hop graph queries
- Managed cloud hosting and open-source self-hosting
- PostgreSQL-native data retrieval without a separate vector store or sync pipeline
Compare Use Cases
Use cases for PostgresML
- RAG (Retrieval Augmented Generation)
- Search
- Chatbot
- Text Generation
- Embeddings
- Vector Database
- Supervised Learning
Use cases for Polygres
- Build grounded AI agents that retrieve customer records, orders, tickets, and related history
- Investigate failed transactions by combining semantic search with order, payment, and dispute relationships
- Create user-memory systems that retrieve relevant past interactions and connected data
- Query Wikipedia-scale datasets using hybrid indexes and graph relationships
- Provide support agents with ranked, database-backed context
- Develop recommendation and discovery systems using existing PostgreSQL data
Different Plan between PostgresML and Polygres
PostgresML
Sorry, there are no data
Polygres
$0 / forever
Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.
$16 / month
Managed cloud database hosting with email and community Discord support. Currently free for now.
$256 / month minimum usage
Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.
$4,096 / month minimum usage
Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.
PostgresML's traffic
PostgresML is the one with 267 monthly visits and 00:00:00 Avg.visit duration. PostgresML has a Page per visit of 1.01 and a bounce rate of 47.38%.
Visit Over Time
| Monthly Visits | 267 |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 1.01 |
| Bounce Rate | 47.38% |
Polygres's traffic
Polygres is the one with 29.2K monthly visits and 00:00:44 Avg.visit duration. Polygres has a Page per visit of 1.61 and a bounce rate of 68.04%.
Visit Over Time
| Monthly Visits | 29.2K |
| Avg·visit Duration | 00:00:44 |
| Page per Visit | 1.61 |
| Bounce Rate | 68.04% |
Geography
The top 2 countries/regions for PostgresML are:United States 71.70%, Turkey 28.30%
Top 2 Countries/regions
 | 71.70% |
 | 28.30% |
Geography
The top 3 countries/regions for Polygres are:United States 84.49%, India 15.16%, Mexico 0.34%
Top 3 Countries/regions
| 84.49% |
 | 15.16% |
 | 0.34% |
Traffic Sources
The 6 main sources of traffic to PostgresML are:Direct 39.70%, vs_sourcesSearchOrganic 32.17%, Referrals 10.55%, vs_sourcesSocialOrganic 6.06%, Mail 3.29%, vs_sourcesAffiliate 2.23%, vs_sourcesDisplayAds 2.22%, vs_sourcesGenAi 1.92%, vs_sourcesSearchPaid 1.26%, vs_sourcesSocialPaid 0.60%
Direct | 39.70% |
vs_sourcesSearchOrganic | 32.17% |
Referrals | 10.55% |
vs_sourcesSocialOrganic | 6.06% |
Mail | 3.29% |
vs_sourcesAffiliate | 2.23% |
vs_sourcesDisplayAds | 2.22% |
vs_sourcesGenAi | 1.92% |
vs_sourcesSearchPaid | 1.26% |
vs_sourcesSocialPaid | 0.60% |
Traffic Sources
The 6 main sources of traffic to Polygres are:Direct 43.28%, vs_sourcesSocialOrganic 34.37%, vs_sourcesSearchOrganic 14.81%, Referrals 4.00%, Mail 1.48%, vs_sourcesGenAi 0.93%, vs_sourcesDisplayAds 0.49%, vs_sourcesAffiliate 0.25%, vs_sourcesSearchPaid 0.25%, vs_sourcesSocialPaid 0.12%
Direct | 43.28% |
vs_sourcesSocialOrganic | 34.37% |
vs_sourcesSearchOrganic | 14.81% |
Referrals | 4.00% |
Mail | 1.48% |
vs_sourcesGenAi | 0.93% |
vs_sourcesDisplayAds | 0.49% |
vs_sourcesAffiliate | 0.25% |
vs_sourcesSearchPaid | 0.25% |
vs_sourcesSocialPaid | 0.12% |
Which is better: PostgresML or Polygres?
Polygres might be a bit more popular than PostgresML.As you can see, PostgresML has 267 monthly visits, while Polygres has 29.2K monthly visits. So more people choose Polygres. So the odds are that people will recommend Polygres more on social platforms.
PostgresML has an Avg.visit duration of 00:00:00, while Polygres has an Avg.visit duration of 00:00:44. Also, PostgresML has a page per visit of 1.01 and a Bounce Rate of 47.38%. Polygres has a page per visit of 1.61 and a Bounce Rate of 68.04%.
The main users of PostgresML are United States, Turkey, with the following distribution: 71.70%, 28.30%.
The main users of Polygres are United States, India, Mexico, with the following distribution: 84.49%, 15.16%, 0.34%.
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