Sponsored by Agentkit.

Jam VS Polygres

Jam VS Polygres 对比,Jam 和 Polygres 有什麼區別?

猜你喜歡

總結

Jam 總結

JamGPT is debugging alongside you, so you can identify the bug, receive the code to fix it, and share with your team – all in one link. Powered by OpenAI and unique bug diagnostic data from Jam, you’ll never have to search Stack Overflow again.

Jam 著陸頁

Polygres 總結

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 著陸頁

比較詳情

Jam 詳細信息

類別 AI 開發者工具, AI測試, AI報告生成器, AI 生產力工具, AI 客戶服務, AI 工作流程
Jam 網站 https://jam.dev?utm_source=toolify
添加時間 2023年5月7日
Jam 定價 Team , Enterprise

Polygres 詳細信息

類別 AI 開發者工具, AI 代理, AI 知識圖譜, AI API, AI搜尋引擎
Polygres 網站 https://polygres.com?utm_source=toolify
添加時間 2026年8月26日
Polygres 定價 --

使用對比

如何使用Jam?

To use Jam, simply take a screenshot or record a video of the bug you want to report. Jam automatically captures all the necessary information, including device details, console logs, and network logs. You can then annotate, blur, and edit the report before sharing it with your team via a link. Jam integrates with various tools like Notion, GitHub, and Jira, making it easy to incorporate into your existing workflow.

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.

比較 Jam 和 Polygres 的優點

Jam 的核心功能

  • Automatic capture of device and browser information
  • Console and network logs recording
  • Repro steps recording
  • Backend tracing
  • AI debugger
  • Integration with popular tools like Notion, GitHub, Jira, and Slack
  • Video recording and screenshot annotation

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

比較用例

Jam 的用例

  • Reporting bugs quickly and efficiently
  • Streamlining communication between QA and development teams
  • Capturing detailed information for debugging
  • Integrating bug reporting into existing workflows

Polygres 的用例

  • 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

Jam 和 Polygres 之間的計劃不同

Jam

Free

$0 per month

Unlimited Jams, Basic features

Pro

$12 / month

App integrations, Video blurring & annotations, Autofill title and repro steps with AI

Team

$14 / creator / month*

Unlimited viewers, Backend logging integration, Permissions & access controls, Video blurring & annotations, Autofill title and repro steps with AI, *Max 15 creator seats

Enterprise

Custom

Unlimited viewers and creators, Custom integration templates, Custom retention policies, Priority support, SAML / SSO, Audit logs

Jam for Customer Support

Custom / month

Connects to your team’s Intercom helpdesk, Nothing for your customers to install or setup, Speed up ticket resolution time, Avoid back and forth with developers

Polygres

Self-Hosted

$0 / forever

Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.

Free Launch

$16 / month

Managed cloud database hosting with email and community Discord support. Currently free for now.

Scale

$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.

Enterprise

$4,096 / month minimum usage

Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.

比較定價

Jam 定價

Team

$10/user/mo

Enterprise

custom

Polygres 定價

對不起,沒有數據

比較流量/每月訪客量

Jam 的流量

Jam 是月访问量為 750.7K 且平均訪問時長為 00:02:41 的工具。 Jam 的每次訪問頁數為 2.28,跳出率為 53.47%。

最新網站流量

月訪問量 750.7K
平均訪問時長 00:02:41
每次訪問頁數 2.28
跳出率 53.47%
May 2023 - Jul 2026 所有流量:

Polygres 的流量

Polygres 是月访问量為 11.6K 且平均訪問時長為 00:00:12 的工具。 Polygres 的每次訪問頁數為 1.40,跳出率為 92.09%。

最新網站流量

月訪問量 11.6K
平均訪問時長 00:00:12
每次訪問頁數 1.40
跳出率 92.09%
May 2026 - Jul 2026 所有流量:

地理流量

The top 5 countries/regions for Jam are:United States 12.18%, India 9.82%, Indonesia 7.72%, Vietnam 7.09%, Germany 4.60%

Top 5 Countries/regions

United States
12.18%
India
9.82%
Indonesia
7.72%
Vietnam
7.09%
Germany
4.60%

地理流量

The top 1 countries/regions for Polygres are:United States 100.00%

Top 1 Countries/regions

United States
100.00%

網站流量來源

Jam 的 6 個主要流量來源是:直接 75.71%, vs_sourcesSearchOrganic 11.26%, 引薦 6.65%, vs_sourcesSocialOrganic 3.05%, 郵件 2.02%, vs_sourcesGenAi 0.88%, vs_sourcesSearchPaid 0.34%, vs_sourcesDisplayAds 0.05%, vs_sourcesSocialPaid 0.04%, vs_sourcesAffiliate 0.00%

直接
75.71%
vs_sourcesSearchOrganic
11.26%
引薦
6.65%
vs_sourcesSocialOrganic
3.05%
郵件
2.02%
vs_sourcesGenAi
0.88%
vs_sourcesSearchPaid
0.34%
vs_sourcesDisplayAds
0.05%
vs_sourcesSocialPaid
0.04%
vs_sourcesAffiliate
0.00%
May 2023 - Jul 2026 僅限全球桌面設備

網站流量來源

Polygres 的 6 個主要流量來源是:直接 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 引薦 5.27%, 郵件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%

直接
57.14%
vs_sourcesSocialOrganic
21.37%
vs_sourcesSearchOrganic
13.47%
引薦
5.27%
郵件
2.75%
vs_sourcesGenAi
0.00%
vs_sourcesAffiliate
0.00%
vs_sourcesDisplayAds
0.00%
vs_sourcesSearchPaid
0.00%
vs_sourcesSocialPaid
0.00%
May 2026 - Jul 2026 僅限全球桌面設備

Jam 或 Polygres哪個更好?

Jam 可能比 Polygres 更受歡迎。如您所見,Jam 每月有 750.7K 次訪問,而 Polygres 每月有 11.6K 次訪問。 所以更多的人選擇Jam。 因此,人們很可能會在社交平台上更多地推薦 Jam。

Jam 的平均訪問持續時間為 00:02:41,而 Polygres 的平均訪問持續時間為 00:00:12。 此外,Jam 的每次訪問頁面為 2.28,跳出率為 53.47%。 Polygres 的每次訪問頁面為 1.40,跳出率為 92.09%。

Jam 的主要用戶是United States, India, Indonesia, Vietnam, Germany,分佈如下:12.18%, 9.82%, 7.72%, 7.09%, 4.60%。

Polygres 的主要用戶是 United States,分佈如下:100.00%。

查看其他对比

精選*