Mender.io VS Qrvey
Compare Mender.io VS Qrvey and see what are their differences
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Mender.io
Balena.io
BalenaCloud
AWS IoT
Blynk.io
Azure IoT Hub
Losant
Murano
Qrvey
DevicePilot
AnswerRocket
Syndigo
Amdocs CES
Yellowfin
Toucan Toco
Omniscope
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.
Mender.io QrveyNo features have been listed yet.
Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Customers choose Qrvey for the following reasons:
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.
Based on our record, Mender.io should be more popular than Qrvey. It has been mentiond 9 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.
You will need something like https://mender.io https://www.balena.io an over the air update system, you are building and iot system so look into https://en.m.wikipedia.org/wiki/Over-the-air_update. Source: 5 months ago
Oh, what you are looking for is probably something like Mender. If you use Yocto + Mender you can track what version of the system image all your devices are using + tiered rollouts + other stuff. https://mender.io/. Source: about 1 year ago
We were running balenaOS on several thousand customer devices in field, all managed through balenaCloud. It worked fine and the remote capabilities are extremely useful, but we eventually transitioned the entire fleet to Mender instead. There were several reasons for the transition:. Source: about 1 year ago
I've never used anything in the product space, but I've read through some of the docs because IoT deployment interests me in the context of most network devices having terrible deployment and update strategies. My favorite sales pitch was always Mender (https://mender.io) because it can be as simple as .img files and slice based booting. Unfortunately they changed their pricing a couple years ago and went from a... - Source: Hacker News / almost 2 years ago
From what has been stated thus far, it becomes obvious that most of the opportunities would be in enabling containers for embedded targets. Currently companies like pantacor, BalenaOS, Toradex, Mender, and Foundries all offer solutions for containers for Linux-based embedded targets. This means that these solutions cannot support all types of embedded targets as not all have the computational power to support the... - Source: dev.to / about 2 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
Balena.io - Balena is a container-based platform to develop, deploy, and manage code running on remote devices - quickly, safely, and at scale.
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
BalenaCloud - The container-based platform for deploying IoT fleets
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.
AWS IoT - Easily and securely connect devices to the cloud.
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.