SvectorDB VS Polygres
Compare SvectorDB VS Polygres, what is the difference between SvectorDB and Polygres?
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Summarize
SvectorDB summarize
Create a serverless vector database in under 120 seconds. Whether it's a RAG chatbot, document search, or recommendations, skip the complexities and use SvectorDB. With pay per request pricing and CloudFormation support, it's the right choice for your project
SvectorDB 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
SvectorDB details
| Categories | AI Developer Tools, AI API, Large Language Models (LLMs), AI Search Engine |
| SvectorDB Website | https://svectordb.com?utm_source=toolify |
| Added Time | March 17 2024 |
| SvectorDB 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 SvectorDB?
Users can get started with SvectorDB by reading the documentation and using the quick start tutorial. Code examples are provided in JavaScript and Python. The service offers an OpenAPI specification for use with other languages. Users can create databases, set items with vectors, and query based on vectors or keys.
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 SvectorDB and Polygres
Core features of SvectorDB
- Serverless architecture
- Cost-effective pricing (pay-per-request)
- High-performance vector search
- Hybrid search with Lucene/ElasticSearch style queries
- Instant updates (upserts and deletions)
- CloudFormation support
- Built-in vectorizers for text and images
- Free tier available
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 SvectorDB
- Recommendation engines
- Document/image search
- Retrieval augmented generation
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 SvectorDB and Polygres
SvectorDB
$0.25 / GB / month
The total size of your database and indexes, including keys, value, and vectors.
$5 / million
A single query counts as 1 read operation, regardless of the number of results returned or data scanned.
$20 / million
A single put or delete call counts as 1 write operation, regardless of the size of the item.
Free
Create up to 10 free tier indexes of up to 5k records, with no time limit.
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.
SvectorDB's traffic
SvectorDB is the one with 2.8K monthly visits and 00:00:00 Avg.visit duration. SvectorDB has a Page per visit of 1.14 and a bounce rate of 36.45%.
Visit Over Time
| Monthly Visits | 2.8K |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 1.14 |
| Bounce Rate | 36.45% |
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 5 countries/regions for SvectorDB are:India 25.38%, Italy 23.97%, Brazil 22.32%, United States 20.35%, Hungary 7.98%
Top 5 Countries/regions
 | 25.38% |
 | 23.97% |
 | 22.32% |
 | 20.35% |
 | 7.98% |
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 SvectorDB are:Direct 39.84%, vs_sourcesSearchOrganic 33.55%, Referrals 9.98%, vs_sourcesSocialOrganic 5.58%, Mail 3.01%, vs_sourcesDisplayAds 2.58%, vs_sourcesGenAi 1.71%, vs_sourcesAffiliate 1.58%, vs_sourcesSearchPaid 1.51%, vs_sourcesSocialPaid 0.67%
Direct | 39.84% |
vs_sourcesSearchOrganic | 33.55% |
Referrals | 9.98% |
vs_sourcesSocialOrganic | 5.58% |
Mail | 3.01% |
vs_sourcesDisplayAds | 2.58% |
vs_sourcesGenAi | 1.71% |
vs_sourcesAffiliate | 1.58% |
vs_sourcesSearchPaid | 1.51% |
vs_sourcesSocialPaid | 0.67% |
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: SvectorDB or Polygres?
Polygres might be a bit more popular than SvectorDB.As you can see, SvectorDB has 2.8K 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.
SvectorDB has an Avg.visit duration of 00:00:00, while Polygres has an Avg.visit duration of 00:00:44. Also, SvectorDB has a page per visit of 1.14 and a Bounce Rate of 36.45%. Polygres has a page per visit of 1.61 and a Bounce Rate of 68.04%.
The main users of SvectorDB are India, Italy, Brazil, United States, Hungary, with the following distribution: 25.38%, 23.97%, 22.32%, 20.35%, 7.98%.
The main users of Polygres are United States, India, Mexico, with the following distribution: 84.49%, 15.16%, 0.34%.
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