Software Alternatives & Reviews

Count.co VS Qrvey

Compare Count.co VS Qrvey and see what are their differences

Count.co logo Count.co

Start driving better decision making in your team with one simple document. Get started for free.

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
Visit Website
  • Count.co Landing page
    Landing page //
    2023-02-08

Count is a new type of data analytics application, where everything is based around notebooks.

Notebooks contain all of your analytics queries, alongside rich text, images, videos, and interactive controls. A notebook can be a simple static document, a fully interactive application, or anything in-between. They are backed up as you write, use state-of-the-art rendering technology to take full advantage of your machine, and scale down to stay readable on mobile.

Count connects to your data warehouse to run queries, so the data you see is always up-to-date. It also (optionally) intelligently caches results to minimise the load on your databases.

  • Qrvey Landing page
    Landing page //
    2023-11-21

Qrvey is the only purpose-built solution for embedded analytics

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.

Qrvey is the only complete software solution for embedded analytics that offers SaaS companies the best of both worlds: flexibility and functionality.

Count.co

Website
count.co
$ Details
freemium $20.0 / Monthly (per user)
Platforms
Web

Count.co 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

Count.co videos

Build a Count Notebook

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Category Popularity

0-100% (relative to Count.co and Qrvey)
Business Intelligence
13 13%
87% 87
Data Dashboard
4 4%
96% 96
Data Science Notebooks
100 100%
0% 0
Data Science And Machine Learning

Questions and Answers

As answered by people managing Count.co 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

Why should a person choose your product over its competitors?

Qrvey's answer:

Customers choose Qrvey for the following reasons:

  • Built for SaaS companies so that's the only focus
  • Fully embeddable that enables customization of the end user experience
  • Flat rate licensing with unlimited users, dashboards, and deployments to developer environments
  • Highly rated customer success and support

What makes your product unique?

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.

User comments

Share your experience with using Count.co 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 Count.co and Qrvey

Count.co Reviews

12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Count.co also has a built-in code editor and supports a wide range of libraries and frameworks, including TensorFlow and PyTorch. One of the main advantages of Count.co is its focus on collaboration, which allows users to easily share and collaborate on notebooks with other users.
Source: noteable.io

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, Count.co should be more popular than Qrvey. It has been mentiond 5 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.

Count.co mentions (5)

  • Multiplayer dbt data modelling
    Hi Reddit, after lurking here a while I've finally got something interesting to share - a new feature I've been working on at Count (https://count.co), which I wrote a blog post on here:. Source: 5 months ago
  • Show HN: Multiplayer Data Modeling
    Hi HN, after seeing a lot of data engineering discussion here I thought it would be interesting to share a new feature I've been working on at Count (https://count.co). We've made possible to import and execute dbt models, compiling them on the fly with a custom compiler, and view results alongside other collaborators in real time. We built this because we heard feedback from our customers that debugging and... - Source: Hacker News / 5 months ago
  • Ask HN: Who is hiring? (November 2023)
    Count | Senior Software Engineer | REMOTE within UK/Europe | Full-time | https://count.co Count is like Jupyter, Tableau and Miro combined in one tool. Data teams at some of the world's leading scale-ups use it for everything from iterating data models to performing deep dive analyses and telling impactful stories backed by data. We're a small team of 8, and we're looking for experienced software engineers who are... - Source: Hacker News / 6 months ago
  • I attempted to create the Ultimate Guide to dbt
    Full disclosure: I do work for count.co, the canvas in which the guide was built. Source: 10 months ago
  • Instanced Line Rendering Using WebGL
    Nice article! When we wrote the instanced WebGL line renderer for https://count.co one of the tricky parts was switching between mitre and bevel joins based on the join angle - for very acute angles the mitre join shoots off to infinity. Another nice extension (that we are yet to implement) is anti-aliasing, but I think that requires extra geometry to vary the opacity over. - Source: Hacker News / almost 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: 5 months ago

What are some alternatives?

When comparing Count.co and Qrvey, you can also consider the following products

Chartio - Chartio is a powerful business intelligence tool that anyone can use.

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

SQL Notebook - SQL Notebook is a free Windows app for exploring and manipulating tabular data.

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

Plotly - Low-Code Data Apps

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