Software Alternatives, Accelerators & Startups

Luzmo VS Qrvey

Compare Luzmo VS Qrvey and see what are their differences

Luzmo logo Luzmo

From data to decisions, damn fast. Embed beautiful, easy-to-use dashboards in your SaaS product in days, not months.

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
Visit Website
  • Luzmo Landing page
    Landing page //
    2023-09-08

Luzmo is an embedded analytics platform, purpose-built for SaaS companies. We bring complex data to life with beautiful, easy-to-use dashboards, embedded seamlessly in any SaaS or web platform. With Luzmo, product teams can add impactful insights to their SaaS product in days, not months. And take their product users from data to decisions, rapidly fast.

  • 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.

Luzmo features and specs

No features have been listed yet.

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

Luzmo videos

Luzmo | Turn Data To Impact

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Category Popularity

0-100% (relative to Luzmo and Qrvey)
Business Intelligence
27 27%
73% 73
Data Dashboard
25 25%
75% 75
Data Visualization
100 100%
0% 0
Analytics
0 0%
100% 100

Questions and Answers

As answered by people managing Luzmo and Qrvey.

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

Share your experience with using Luzmo and Qrvey. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Luzmo Reviews

Embedded analytics in B2B SaaS: A comparison
Cumul.io pretty much was in another league here, as it supports better embedding options through pre-build components. In the end, however, we did a further deep-dive in pricing and noticed that Cumul.io limits the amount of viewers. As a B2B SaaS company this isn’t preferred as we might have an arbitary amount of viewer in our application.
Source: medium.com

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

Social recommendations and mentions

Based on our record, Luzmo should be more popular than Qrvey. 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.

Luzmo mentions (2)

  • Strava Dashboards with Zapier and Cumul.io
    Recently one of our Cumul.io Ambassadors shared a company Strava dashboard they built with Cumul.io and I had to build something similar for us. It's a nice way to keep motivated to go out for runs and great for those who are competitive when it comes to exercising (NOT me). And it's a fun was to use a data visualization tool like Cumul.io. So anyway, I followed the lead of Olivier de Lamotte who gave us the idea... - Source: dev.to / over 2 years ago
  • Building My First Python Package with Poetry
    Cumul.io has a number of SDKs available for people to install and use, but we were missing one in Python. So I built one! It's a simple one that provides interaction with our Core API (For those of you who don't know I'll add some info about Cumul.io at the end of this post). This might not be surprising to a lot of you but as it was my first go, I soon discovered there are a plethora of routes you can take to... - Source: dev.to / about 3 years ago

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

What are some alternatives?

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

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

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

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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

Vizzly - Customer-facing dashboards for your app. Build in days, not months.

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