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Jam VS Polygres

Jam VS Polygres对比,Jam 和 Polygres 有什么区别?

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总结

Jam 总结

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 着陆页

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

比较详细信息

Jam 详细信息

类别 AI开发者工具, AI测试, AI报告生成器, AI生产力工具, AI客服, AI工作流
Jam 网站 https://jam.dev?utm_source=toolify
添加时间 2023年5月7日
Jam 定价 Team , Enterprise

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 --

使用情况比较

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.

比较 Jam 和 Polygres 的优势

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

比较使用案例

Jam的使用案例

  • 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

Jam和Polygres的不同计划

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.

比较定价

Jam 定价

Team

$10/user/mo

Enterprise

custom

Polygres 定价

对不起,没有数据

比较流量/月访问量

Jam的流量

Jam 是月访问量为 750.7K 且平均访问时长为 00:02:41 的工具。 Jam 的每次访问页数为 2.28,跳出率为 53.47%。

最新流量情况

月访问量 750.7K
平均·访问时长 00:02:41
每次访问页数 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%
May 2026 - Jul 2026 所有流量:

地理位置

Jam 的前 5 个国家/地区是:United States 12.18%, India 9.82%, Indonesia 7.72%, Vietnam 7.09%, Germany 4.60%

Top 5 国家/地区

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

地理位置

Polygres 的前 1 个国家/地区是:United States 100.00%

Top 1 国家/地区

United States
100.00%

流量来源

Jam 的 6 个主要流量来源是:直接访问 75.71%, vs_sourcesSearchOrganic 11.26%, 外链引荐 6.65%, vs_sourcesSocialOrganic 3.05%, 邮件 2.02%, vs_sourcesGenAi 0.88%, vs_sourcesSearchPaid 0.34%, vs_sourcesDisplayAds 0.05%, vs_sourcesSocialPaid 0.04%, vs_sourcesAffiliate 0.00%

直接访问
75.71%
vs_sourcesSearchOrganic
11.26%
外链引荐
6.65%
vs_sourcesSocialOrganic
3.05%
邮件
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 仅限全球桌面设备

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%
May 2026 - Jul 2026 仅限全球桌面设备

Jam 或 Polygres哪个更好?

Jam 可能比 Polygres 更受欢迎。如您所见,Jam 每月有 750.7K 次访问,而 Polygres 每月有 11.6K 次访问。 所以更多的人选择了Jam。 因此,人们很可能会在社交平台上更多地推荐 Jam。

Jam 的平均访问持续时间为 00:02:41,而 Polygres 的平均访问持续时间为 00:00:12。 此外,Jam 的每次访问页面为 2.28,跳出率为 53.47%。 Polygres 的每次访问页面为 1.40,跳出率为 92.09%。

Jam 的主要用户是United States, India, Indonesia, Vietnam, Germany,分布如下:12.18%, 9.82%, 7.72%, 7.09%, 4.60%。

Polygres 的主要用户是 United States,分布如下:100.00%。

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