Trunk VS Polygres
Compare Trunk VS Polygres, ¿cuál es la diferencia entre Trunk y Polygres?
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Resumir
Trunk resumir
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.
Página de destino de Trunk
Polygres resumir
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!
Página de destino de Polygres
Comparar detalles
detalles de Trunk
| Categorías | Herramientas de IA para Desarrolladores, Asistente de AI, Agencia AI, Pruebas de AI |
| Sitio web de Trunk | https://trunk.io?utm_source=toolify |
| Tiempo agregado | Octubre 09 2025 |
| Precios de Trunk | -- |
detalles de Polygres
| Categorías | Herramientas de IA para Desarrolladores, Agencia AI, Grafo de Conocimiento AI, API de AI, Motor de búsqueda con IA |
| Sitio web de Polygres | https://polygres.com?utm_source=toolify |
| Tiempo agregado | Agosto 26 2026 |
| Precios de Polygres | -- |
Comparación de uso
¿Cómo usar Trunk?
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.
¿Cómo usar 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.
Comparar Pros entre Trunk y Polygres
Características principales de Trunk
- 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)
Características principales de 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
Comparar casos de uso
Casos de uso para Trunk
- 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.
Casos de uso para 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
Plan diferente entre Trunk y Polygres
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.
Tráfico de Trunk
Trunk es el que tiene 40.5K visitas mensuales y 00:03:08 Promedio de duración de la visita. Trunk tiene una página por visita de 4.82 y una tasa de rebote de 37.92%.
Tráfico más reciente
| Visitas mensuales | 40.5K |
| Duración media de la visita | 00:03:08 |
| Páginas por visita | 4.82 |
| Tasa de rebote | 37.92% |
Tráfico de Polygres
Polygres es el que tiene 11.6K visitas mensuales y 00:00:12 Promedio de duración de la visita. Polygres tiene una página por visita de 1.40 y una tasa de rebote de 92.09%.
Tráfico más reciente
| Visitas mensuales | 11.6K |
| Duración media de la visita | 00:00:12 |
| Páginas por visita | 1.40 |
| Tasa de rebote | 92.09% |
Tráfico geográfico
Los principales 5 países/regiones para Trunk son:United States 65.38%, India 5.14%, Canada 4.68%, Vietnam 4.19%, Russia 3.23%
Top 5 Países/regiones
 | 65.38% |
 | 5.14% |
 | 4.68% |
 | 4.19% |
 | 3.23% |
Tráfico geográfico
Los principales 1 países/regiones para Polygres son:United States 100.00%
Top 1 Países/regiones
| 100.00% |
Fuentes de tráfico
Las 6 principales fuentes de tráfico a Trunk son:Directo 73.78%, vs_sourcesSearchOrganic 12.74%, Referidos 10.29%, vs_sourcesSocialOrganic 1.67%, Correo 1.22%, vs_sourcesSocialPaid 0.30%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%
Directo | 73.78% |
vs_sourcesSearchOrganic | 12.74% |
Referidos | 10.29% |
vs_sourcesSocialOrganic | 1.67% |
Correo | 1.22% |
vs_sourcesSocialPaid | 0.30% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
Fuentes de tráfico
Las 6 principales fuentes de tráfico a Polygres son:Directo 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, Referidos 5.27%, Correo 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
Directo | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
Referidos | 5.27% |
Correo | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
¿Qué es mejor: Trunk o Polygres?
Trunk podría ser un poco más popular que Polygres. Como puede ver, Trunk tiene 40.5K visitas mensuales, mientras que Polygres tiene 11.6K visitas mensuales. Entonces, más personas eligen Trunk. Entonces, lo más probable es que las personas recomienden Trunk más en las plataformas sociales.
Trunk tiene una duración promedio de visita de 00:03:08, mientras que Polygres tiene una duración promedio de visita de 00:00:12. Además, Trunk tiene una página por visita de 4.82 y una tasa de rebote de 37.92%. Polygres tiene una página por visita de 1.40 y una tasa de rebote de 92.09%.
Los principales usuarios de Trunk son United States, India, Canada, Vietnam, Russia, con la siguiente distribución: 65.38%, 5.14%, 4.68%, 4.19%, 3.23%.
Los principales usuarios de Polygres son United States, con la siguiente distribución: 100.00%.
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