
RDPWin
Innago
AppFolio
Hotello
Rezlynx PMS
Yardi Voyager
Newbook
Building Engines
CloudQuery
Steampipe
CloudYali.io
StackQL.io
AWS Config
Turbot
Terraform
Pulumi
RDPWinRDPWin is recommended for medium to large resorts, hotels, and property management entities that need advanced customization and integration options. It is particularly suitable for properties that want to enhance their operational efficiency through detailed reservation and guest management features while maintaining robust reporting tools to aid in decision-making. Businesses that have specific, complex requirements or need to handle a high volume of bookings may find RDPWin to be a viable and beneficial option.
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Based on our record, CloudQuery seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Cloudquery: https://cloudquery.io/. Source: over 3 years ago
Looks nice! If you are interested in enabling ELT of Plunk data to any destination you can take a look at building a CloudQuery plugin powered by your new Plunk SDK. (Disclaimer: Founder @ CloudQuery). Source: over 3 years ago
Innago - Innago offers a cloud-based property management platform for landlords with small to midsize property portfolios. Innago is 100% free to use and comes with a long list of affordable features.
Steampipe - Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.
AppFolio - AppFolio is the premier online property management software for modern residential and rental property managers. Try it free today.
CloudYali.io - CoPilot for your cloud teams, your cloud in a single window.
Hotello - Hotello is a SAAS cloud or on premise hospitality management software that manage establishment's day to day operations and customer service.
StackQL.io - Query, provision, secure & operate cloud resources using SQL