Software Alternatives, Accelerators & Startups

Qrvey VS Watershed

Compare Qrvey VS Watershed and see what are their differences

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
Visit Website

Watershed logo Watershed

Helping companies cut carbon
  • 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.

  • Watershed Landing page
    Landing page //
    2023-08-28

Watershed

Pricing URL
-
$ Details
-
Platforms
-

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

Watershed features and specs

No features have been listed yet.

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Watershed videos

watershed review

More videos:

  • Review - Watershed Bottled in Bond Bourbon Review! Made in Ohio!
  • Review - OPETH - WATERSHED (Review)

Category Popularity

0-100% (relative to Qrvey and Watershed)
Data Dashboard
100 100%
0% 0
Green Tech
0 0%
100% 100
Business Intelligence
100 100%
0% 0
Payments
0 0%
100% 100

Questions and Answers

As answered by people managing Qrvey and Watershed.

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 Qrvey and Watershed. 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 Qrvey and Watershed

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

Watershed Reviews

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

Social recommendations and mentions

Based on our record, Watershed 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: 7 months ago

Watershed mentions (8)

  • DuckDB – in-process SQL OLAP database management system
    We use DuckDB extensively where I work (https://watershed.com), the primary way we're using it is to query Parquet formatted files stored in GCS, and we have some machinery to make that doable on demand for reporting and analysis "online" queries. - Source: Hacker News / over 1 year ago
  • Ask HN: Recommend employers with positive social impact
    Watershed (https://watershed.com), platform for enterprises to reduce carbon emissions. - Source: Hacker News / about 2 years ago
  • Is climate tech the new fintech?
    Here's why I'm asking — Watershed, a new carbon accounting tool that recently raised $60m, was spun out of Stripe. Patch.io, an API-first offsets marketplace, has strong ties to Plaid. And Bend, a CO2e emissions data API that I'm working on, grew out of Abacus, an expense management app. Source: over 2 years ago
  • What role can CS majors play in the fight against the climate crisis?
    Your best bet with your current skillset (assuming you're more SWE-oriented) would be to join forward-looking startups and companies in the climate space. There's plenty of startups that are in need of engineers, and it would surprise you that a lot of them are relatively well-funded (e.g. https://watershedclimate.com/, funded by Stripe founders and Kleiner Perkins). Alternatively, you can probably join as a SWE... Source: over 2 years ago
  • What role can CS majors play in the fight against the climate crisis?
    There are software companies working on this already, checkout https://watershedclimate.com/. Source: over 2 years ago
View more

What are some alternatives?

When comparing Qrvey and Watershed, 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.

Electricity Map - Live CO2 emissions of electricity consumption

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

Klima - Go carbon neutral

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

Website Carbon Calculator - Find out the how much CO2 your website emits