Software Alternatives, Accelerators & Startups

Qrvey VS AWS IoT

Compare Qrvey VS AWS IoT and see what are their differences

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
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AWS IoT logo AWS IoT

Easily and securely connect devices to the cloud.
  • Qrvey Landing page
    Landing page //
    2023-11-21
  • Qrvey
    Image date //
    2024-05-20
  • Qrvey
    Image date //
    2024-05-20

Qrvey is the only purpose-built solution for embedded analytics

Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.

Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.

Qrvey’s multi-tenant data lake includes:

  • Elasticsearch as the analytics engine
  • A unified data pipeline for ingestion and transformation
  • A complete semantic layer for simple user and data security integration

Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation

Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.

The result: Less time and money on analytics.

  • AWS IoT Landing page
    Landing page //
    2023-04-28

Qrvey features and specs

  • Embedded Dashboards: Yes
  • Embedded Dashboard Builders: Yes
  • Embedded Single Charts/Metrics: Yes
  • Embedded Single Chart/Metric Builder: Yes
  • Data Warehouse: Yes
  • ETL: Yes
  • Alerts and Automation: Yes
  • Embedded Pixel-Perfect Reports: Yes
  • Native Multi-Tenant Data Security: Yes
  • Tenant Specific Content Deployment: Yes
  • Prebuilt Data Connectors (Redshift, PostgreSQL, Snowflake, etc): Yes

AWS IoT features and specs

No features have been listed yet.

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

AWS IoT videos

What is AWS IoT?

More videos:

  • Review - Introducción a AWS IoT
  • Review - AWS IoT in the Connected Home - AWS Online Tech Talks

Category Popularity

0-100% (relative to Qrvey and AWS IoT)
Business Intelligence
100 100%
0% 0
Data Dashboard
47 47%
53% 53
IoT Platform
0 0%
100% 100
Development
100 100%
0% 0

Questions and Answers

As answered by people managing Qrvey and AWS IoT.

How would you describe your primary audience?

Qrvey's answer

Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies

What makes your product unique?

Qrvey's answer

Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.

Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.

For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:

  • Everything is a JS embed, no iFrames
  • Dashboards and builders
  • Dataset creation for individual users
  • No-code workflow automation
  • Full white-labeling and CSS support

All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.

Why should a person choose your product over its competitors?

Qrvey's answer

Customers choose Qrvey for the following reasons:

  • In-house engineering teams spend less time developing analytics features
  • Infrastructure costs are significantly less
  • Engineering teams get JS embeds and a richer API suite than anyone else
  • Fully customizable to blend in seamlessly with the parent SaaS application

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Qrvey and AWS IoT

Qrvey Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Qrvey is an embedded analytics platform used for SaaS data, analytics, and automation technologies. You can deploy it right into your pre-existing AWS account in order to visualize your entire data pipeline. Their start-ups package includes specialized support for pre-launch or early-launch companies, like quick installation and launch, serverless analytics scalability,...
Source: theqalead.com
Top 5 Embedded Analytics Tools for Amazon Redshift (Plus 1 Bonus Option)
Qrvey is an embedded analytics and automation tool designed specifically for SaaS applications. It connects directly to AWS and offers an all-in-one platform that includes data collections, analysis, visualizations, automation, and more.
Source: yurbi.com

AWS IoT Reviews

We have no reviews of AWS IoT yet.
Be the first one to post

Social recommendations and mentions

Based on our record, AWS IoT should be more popular than Qrvey. It has been mentiond 8 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.

Qrvey mentions (1)

  • Looking for an embedded report builder solution that doesn't require giving a third-party access to the data
    Since you're on AWS already, check out https://qrvey.com. Source: 6 months ago

AWS IoT mentions (8)

  • Automatically Applying Configuration to IoT Devices with AWS IoT and AWS Step Functions - Part 1
    In this blog post series, we will look at a simple example of modeling an IoT device process as a workflow, using primarily AWS IoT and AWS Step Functions. Our example is a system where, when a device comes online, you need to get external settings based on the profile of the user the device belongs to and push that configuration to the device. The system that holds the external settings is often a third party... - Source: dev.to / about 1 year ago
  • Building a serverless talking doorbell
    Iot - MQTT broker to send messages to the Raspberry Pi. - Source: dev.to / over 2 years ago
  • GME NFT/blockchain is not to be a stock market...it's bigger
    " Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. These services help organizations move faster, lower IT costs, and scale. AWS is trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including: web and... Source: over 2 years ago
  • What is AWS IoT Core and how do I use it?
    AWS IoT Core - message broker between all devices and AWS. - Source: dev.to / over 2 years ago
  • Which Cloud Suite is preferable when the focus is more towards IoT/IIoT as potential future job search keyword?
    If you have to ask, then you should be using AWS by default. They have plenty of IoT services for you to fiddle around with and get started. Source: almost 3 years ago
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What are some alternatives?

When comparing Qrvey and AWS IoT, you can also consider the following products

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.

Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.

Blynk.io - We make internet of things simple