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Qrvey VS DIVE by MIT Media Lab

Compare Qrvey VS DIVE by MIT Media Lab and see what are their differences

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Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
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DIVE by MIT Media Lab logo DIVE by MIT Media Lab

Explore your data with recommendation-driven data visualization, statistical analysis, and story creation — integrated into a single system.
  • 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.

  • DIVE by MIT Media Lab Landing page
    Landing page //
    2023-09-20

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

DIVE by MIT Media Lab features and specs

No features have been listed yet.

Qrvey videos

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Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

DIVE by MIT Media Lab videos

No DIVE by MIT Media Lab videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Qrvey and DIVE by MIT Media Lab)

Qrvey

DIVE by MIT Media Lab

Business Intelligence
89 89%
Business Intelligence
11% 11
Data Visualization
0 0%
Data Visualization
100% 100
Data Dashboard
89 89%
Data Dashboard
11% 11
Development
100 100%
Development
0% 0

Questions and Answers

As answered by people managing Qrvey and DIVE by MIT Media Lab.

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 DIVE by MIT Media Lab

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

DIVE by MIT Media Lab Reviews

We have no reviews of DIVE by MIT Media Lab yet.
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Social recommendations and mentions

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.

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

DIVE by MIT Media Lab mentions (0)

We have not tracked any mentions of DIVE by MIT Media Lab yet. Tracking of DIVE by MIT Media Lab recommendations started around Mar 2021.

What are some alternatives?

When comparing Qrvey and DIVE by MIT Media Lab, 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.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

Dotmatics Vortex - Decision Making Software for Scientific Data

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

Stagraph - Connect to Your Data » Clean » Wrangle » Combine » Explore » Publish

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