它们的增长率如何比较？

Inquir Compute 的月度环比增长率为 -59.1%；OpenShip 为 +26.8%。

价格如何比较？

Inquir Compute: 免费增值。Paid with a free trial. A 14-day free trial is available without a card (once per account). Simple is 590 roubles/month and Pro is 2,490 roubles/month (yearly billing gives two months free), while Enterprise/On-Premise is a custom quote. Prices are in roubles and payment is handled through the platform's payment provider. OpenShip: 免费增值，付费，定价请咨询。以 Apache 2.0 开源，自托管永久免费。OpenShip Cloud 为托管选项，按年付或月付自每月 12 美元起，并提供混合模式，把云订阅与无限台自托管机器组合在一起。

Inquir Compute 和 OpenShip 的替代方案有哪些？

相关分类中的其他工具包括 RunPod, Browser Use, Modal, Mastra, Zeabur。

Inquir Compute vs OpenShip — 流量对比 (769 vs 2.38万)、价格与选型结论

Open AI Tools

Inquir Compute vs OpenShip — 流量对比 (769 vs 2.38万)、价格与选型结论 | Open AI Tools

并排流量和规格矩阵

维度 / 指标	Inquir Compute	OpenShip
官方域名	inquir.org	openship.io
定价模式	免费增值	免费增值，付费，定价请咨询
月访问量	769 (769)	2.38万 (23,815)
月度环比流量变化	-1109 (-59.1%)	+5034 (+26.8%)
主要市场与份额	🌐 全球 (—)	🇺🇸 美国 (71.4%)
直接访问 / 月	305	1.15万
用户评分	3.8	4.6
支持的平台	网站	网站

Inquir Compute

Inquir Compute is a cloud platform for deploying and running applications. Point it at a Dockerfile or container image and it builds, ships and scales your app, while bringing APIs, websites, background workers and databases into one project with a private network, logs, metrics, pipelines and replica scaling.

Dockerfile and container deploys

Deploy from a Dockerfile or container image; Inquir builds the image, cuts a release and switches traffic when readiness checks pass.

Private networking

Bring apps, functions and databases into one project and let them talk over an internal network instead of the public internet.

Serverless functions and pipelines

Run synchronous and asynchronous functions, scheduled jobs and pipelines with run history, including background processing for web apps.

Managed databases

Provision PostgreSQL (with pgvector), Redis, MongoDB and MySQL alongside your services, complete with persistent volumes.

优势与优点

+Apps, functions, pipelines and databases managed together in one project with private networking
+Deploy from Dockerfile or container image, with rollback to the previous release
+Managed PostgreSQL with pgvector, Redis, MongoDB and MySQL included