Polygres VS Powabase
Polygres VS Powabase对比，Polygres 和 Powabase 有什么区别？
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总结
Polygres 总结
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 着陆页
Powabase 总结
Powabase is a backend-as-a-service for AI-native applications, combining Postgres, RAG, agents, memory, workflows, and automation primitives in one platform. It helps agencies and in-house IT teams build new AI apps or add AI automation to existing products without stitching together fragmented infrastructure. Designed to work seamlessly with modern coding agents, Powabase helps teams ship faster while building more robust, token-efficient systems.
Powabase 着陆页
比较详细信息
Polygres 详细信息
| 类别 | AI开发者工具, AI智能体, AI知识图谱, 人工智能接口, AI搜索引擎 |
| Polygres 网站 | https://polygres.com?utm_source=toolify |
| 添加时间 | 2026年8月26日 |
| Polygres 定价 | -- |
Powabase 详细信息
| 类别 | AI开发者工具, AI智能体, AI知识库, AI工作流 |
| Powabase 网站 | https://powabase.ai?utm_source=toolify |
| 添加时间 | 2026年6月3日 |
| Powabase 定价 | -- |
使用情况比较
如何使用 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.
如何使用 Powabase？
To use Powabase, start a project to instantly provision an isolated development stack containing Postgres, authentication, object storage, and an agent runtime. You can then upload documents (PDFs, images, URLs) to let the platform automatically extract and index them into the vector database. From there, define multi-agent orchestrations, build multi-step automation workflows using the visual drag-and-drop editor or natural-language copilot, and deploy them as callable HTTP endpoints.
比较 Polygres 和 Powabase 的优势
Polygres的核心功能
- 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
Powabase的核心功能
- Dedicated Postgres database with pgvector, row-level security (RLS), and realtime support
- Out-of-the-box RAG pipeline with built-in multimodal OCR, hybrid search, and SOTA rerankers
- Agent runtime supporting ReAct orchestrations, multi-turn sessions, and Model Context Protocol (MCP)
- Visual drag-and-drop workflow builder with a natural-language AI Copilot design assistant
- Flexible deployment options including Powabase managed cloud, self-hosted Docker/Kubernetes, or bring-your-own LLM keys
比较使用案例
Polygres的使用案例
- 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
Powabase的使用案例
- Building a legal-document Q&A agent that extracts data from multiple PDFs and streams answers
- Developing automated multi-agent customer support workflows with web search and sandboxed code execution
- Creating an enterprise AI application with isolated, secure database architecture and regional data residency
Polygres和Powabase的不同计划
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.
Powabase
$0
Available during early access until June 30, 2026. Includes all platform features, per-project Postgres + pgvector, Auth, Storage, Realtime, document ingestion, multiple retrieval strategies, ReAct agents, MCP servers, and visual workflows.
Custom Pricing
Hosted on Powabase Cloud. Includes $500 in platform credits to start, production-grade scaling, regional data residency (US, EU), SOC 2 compliance, SSO (SAML/OIDC), audit logs, and priority SLA support.
Custom Pricing
Single-tenant deployment inside your own VPC or on-prem (AWS, GCP, Azure) using Helm or Compose. Includes $500 in platform credits, air-gapped support, and a dedicated solutions engineer.
Polygres的流量
Polygres 是月访问量为 11.6K 且平均访问时长为 00:00:12 的工具。 Polygres 的每次访问页数为 1.40，跳出率为 92.09%。
最新流量情况
| 月访问量 | 11.6K |
| 平均·访问时长 | 00:00:12 |
| 每次访问页数 | 1.40 |
| 跳出率 | 92.09% |
Powabase的流量
Powabase 是月访问量为 7.4K 且平均访问时长为 00:00:30 的工具。 Powabase 的每次访问页数为 1.66，跳出率为 48.05%。
最新流量情况
| 月访问量 | 7.4K |
| 平均·访问时长 | 00:00:30 |
| 每次访问页数 | 1.66 |
| 跳出率 | 48.05% |
地理位置
Polygres 的前 1 个国家/地区是：United States 100.00%
Top 1 国家/地区
 | 100.00% |
地理位置
Powabase 的前 5 个国家/地区是：United States 41.10%, India 27.14%, Norway 16.06%, Vietnam 8.74%, Taiwan, China 3.49%
Top 5 国家/地区
| 41.10% |
 | 27.14% |
 | 16.06% |
 | 8.74% |
 | 3.49% |
流量来源
Polygres 的 6 个主要流量来源是：直接访问 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 外链引荐 5.27%, 邮件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接访问 | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
外链引荐 | 5.27% |
邮件 | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
流量来源
Powabase 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Polygres 或 Powabase哪个更好？
Polygres 可能比 Powabase 更受欢迎。如您所见，Polygres 每月有 11.6K 次访问，而 Powabase 每月有 7.4K 次访问。 所以更多的人选择了Polygres。 因此，人们很可能会在社交平台上更多地推荐 Polygres。
Polygres 的平均访问持续时间为 00:00:12，而 Powabase 的平均访问持续时间为 00:00:30。 此外，Polygres 的每次访问页面为 1.40，跳出率为 92.09%。 Powabase 的每次访问页面为 1.66，跳出率为 48.05%。
Polygres 的主要用户是United States，分布如下：100.00%。
Powabase 的主要用户是 United States, India, Norway, Vietnam, Taiwan, China，分布如下：41.10%, 27.14%, 16.06%, 8.74%, 3.49%。
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