Trunk VS Polygres
Trunk と Polygres を比較してください。Trunk と Polygres の違いは何ですか?
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要約
Trunk要約
Trunk is the CI Reliability Platform designed to eliminate the hidden tax of an unreliable pipeline. By automating flaky test management and providing an intelligent merge queue, we help engineering teams at companies like Zillow, Faire, and Brex save thousands of hours and ship code with confidence.
Trunk ランディング ページ
Polygres要約
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 ランディング ページ
詳細を比較する
Trunk の詳細
| カテゴリー | AI開発者向けツール, AIアシスタント, AIエージェンシー, AIテスト |
| Trunk ウェブサイト | https://trunk.io?utm_source=toolify |
| 追加時間 | 10月 09 2025 |
| Trunk の価格 | -- |
Polygres の詳細
| カテゴリー | AI開発者向けツール, AIエージェンシー, AIナレッジグラフ, AI関連API, AI検索エンジン |
| Polygres ウェブサイト | https://polygres.com?utm_source=toolify |
| 追加時間 | 8月 26 2026 |
| Polygres の価格 | -- |
使用量の比較
Trunkの使い方
To use Trunk, users typically integrate it with their existing CI/CD pipelines and development tools such as GitHub, Slack, Linear, and Jira. Once integrated, Trunk automatically begins to detect, quarantine, and manage flaky tests, analyze CI failures, and can be configured to use its intelligent merge queue. Users interact with Trunk through PR comments, Slack notifications, and dedicated dashboards to monitor CI health and address issues, leveraging AI for root cause analysis and automated fixes.
Polygresの使い方
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.
TrunkとPolygresの長所比較
Trunkのコア機能
- Automated Flaky Test Management (Detect, quarantine, eliminate)
- Intelligent Merge Queue (Protect mainline branch, hyper-efficient)
- AI-powered CI Failure Analysis & Debugging (Root cause, inline annotations, Slack notifications)
- CI Autopilot (Automatically fix CI failures, stacked PRs)
Polygresのコア機能
- 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
使用例の比較
Trunkの使用例
- Improving CI reliability and performance by eliminating flaky tests.
- Automating the detection and fixing of CI failures to reduce debugging time.
- Streamlining code merging with an intelligent merge queue to protect mainline branches.
- Saving engineering hours by reducing manual test management and incident response time.
- Bringing industry-leading DevOps best practices to engineering teams of all sizes.
Polygresの使用例
- 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
TrunkとPolygresの異なるプラン
Trunk
$0 / committer/month
Free for OSS and teams up to 5. Includes up to 5 Repo Committers and up to 5M Test Spans per Month. Features include Flaky Tests (up to 5 committers, quarantining, PR comments, 1M test spans per committer), Code Quality (CLI/VS Code usage, inline annotations), CI Autopilot (root-cause analysis, stacked PRs, MCP access), Security (data encryption, US data residency, SOC 2 Type 2), Management (SSO Google + Microsoft + GitHub), and Community Support.
$18 / committer/month
Everything in Free, plus: +1M Test Spans per Committer, Unlimited Committers, and Onboarding Support. Adds Merge Queue (GitHub integration, multi-CI support, parallelism controls, Slack notifications), Admin tools, Advanced authentication controls, Priority Email Support.
Custom
Everything in Team, plus: Slack Connect Support, Custom Billing, Custom Payment Terms, SSO, SAML. Includes Unlimited Test Spans, Custom Slack Connect Support Channel, Customizations (Custom Billing, Early Access to new products/features, Feature Prioritization, Custom Integrations).
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.
Trunkのトラフィック
Trunk は、月間訪問数が 36.2K 件、平均訪問期間が 00:00:33 件です。 Trunk の訪問あたりのページ数は 1.87、直帰率は 40.42% です。
最新のウェブサイトトラフィック
| 月次訪問数 | 36.2K |
| 平均訪問時間 | 00:00:33 |
| 1回あたりの訪問ページ数 | 1.87 |
| 直帰率 | 40.42% |
Polygresのトラフィック
Polygres は、月間訪問数が 11.6K 件、平均訪問期間が 00:00:12 件です。 Polygres の訪問あたりのページ数は 1.40、直帰率は 92.09% です。
最新のウェブサイトトラフィック
| 月次訪問数 | 11.6K |
| 平均訪問時間 | 00:00:12 |
| 1回あたりの訪問ページ数 | 1.40 |
| 直帰率 | 92.09% |
地理的なトラフィック
Trunkの上位5の国/地域は次のとおりです：United States 26.25%, Thailand 9.58%, India 9.15%, Nigeria 8.28%, Brazil 8.13%
上位 5 国/地域
 | 26.25% |
 | 9.58% |
 | 9.15% |
 | 8.28% |
 | 8.13% |
地理的なトラフィック
Polygresの上位1の国/地域は次のとおりです：United States 100.00%
上位 1 国/地域
| 100.00% |
ウェブサイトのトラフィックソース
Trunk へのトラフィックの主なソースは次の 6 つです。ダイレクト 57.14%, vs_sourcesSearchOrganic 21.23%, vs_sourcesSearchPaid 10.77%, リファーラル 7.38%, vs_sourcesSocialPaid 1.90%, vs_sourcesSocialOrganic 1.34%, メール 0.24%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%
ダイレクト | 57.14% |
vs_sourcesSearchOrganic | 21.23% |
vs_sourcesSearchPaid | 10.77% |
リファーラル | 7.38% |
vs_sourcesSocialPaid | 1.90% |
vs_sourcesSocialOrganic | 1.34% |
メール | 0.24% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
ウェブサイトのトラフィックソース
Polygres へのトラフィックの主なソースは次の 6 つです。ダイレクト 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, リファーラル 5.27%, メール 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
ダイレクト | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
リファーラル | 5.27% |
メール | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Trunk と Polygres のどちらが優れていますか?
Trunk は、Polygres よりも少し人気があるかもしれません。ご覧のとおり、Trunk の月間訪問数は 36.2K ですが、Polygres の月間訪問数は 11.6K です。 そのため、より多くの人が Trunk を選択します。 したがって、ソーシャル プラットフォームでは、人々が Trunk をより多く推奨する可能性があります。
Trunk の平均訪問期間は 00:00:33 ですが、Polygres の平均訪問期間は 00:00:12 です。 また、Trunk の訪問あたりのページ数は 1.87、直帰率は 40.42% です。 Polygres の訪問あたりのページ数は 1.40、直帰率は 92.09% です。
Trunk の主なユーザーは United States, Thailand, India, Nigeria, Brazil で、分布は 26.25%, 9.58%, 9.15%, 8.28%, 8.13% です。
Polygres の主なユーザーは United States で、分布は 100.00% です。
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特徴*
