Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.
Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.
Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.
Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.
More than 500 different modules(adapters) that can be interconnected with each other. E.g. Homematic or KNX can control HUE or sonos and vice versa.
No features have been listed yet.
Qrvey's answer
Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.
Qrvey's key features include:
100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.
Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.
Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.
ioBroker's answer:
Qrvey's answer
Customers choose Qrvey for the following reasons:
ioBroker's answer:
Compatibility: ioBroker supports a vast range of devices and protocols, making it one of the most versatile smart home automation systems available. It is compatible with many popular brands and can integrate with virtually any smart device, offering a level of flexibility that might not be available with other platforms.
Open Source: As an open-source platform, ioBroker is free to use and continuously updated and improved by a community of developers. This allows for greater customization, transparency, and control over your home automation setup.
Scalability: ioBroker is designed to handle complex smart home setups. No matter how many devices you have or plan to add in the future, the platform is designed to scale and manage a large and diverse range of devices efficiently.
JavaScript and Blockly support: For those comfortable with programming, ioBroker offers the option to write scripts in JavaScript. For users who prefer a graphical interface, Blockly is available. This versatility can be appealing for both beginners and experienced users.
Data Logging: ioBroker has extensive data logging capabilities, allowing users to store, analyze, and visualize data from their smart devices over long periods of time. This can be incredibly valuable for monitoring energy usage, tracking trends, and optimizing your smart home setup.
Community and Support: ioBroker has a strong and active community of users and developers who can provide assistance, share ideas, and help troubleshoot any issues you may encounter.
Qrvey's answer
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
ioBroker's answer:
Mostly users are german speaking, but all documentation is primary in english.
ioBroker's answer:
ioBroker is an open-source Internet of Things (IoT) platform that was developed with the aim to provide a unified and flexible solution for smart home automation. It's primarily driven by a community of enthusiasts and developers contributing to its ongoing development and expansion.
The project was initiated to overcome the limitations of existing smart home platforms, particularly the inability of many platforms to integrate with a wide variety of devices and brands. ioBroker was designed with a focus on compatibility, scalability, and flexibility, aiming to provide a solution that can integrate a vast array of smart devices, regardless of manufacturer or protocol, and handle complex home automation setups.
While the platform was initially more popular among the tech-savvy due to its need for more technical involvement, over time, efforts have been made to make it more user-friendly and accessible to a wider audience.
As an open-source project, the ongoing development of ioBroker is dependent on the contributions of its community, including software developers and end-users, who continually work on refining the software, expanding its compatibility with different devices, and improving its features.
ioBroker's answer:
JavaScript, Redis, Mqtt, MUI-UI.
Based on our record, Qrvey seems to be more popular. It has been mentiond 1 time 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.
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
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