Software Alternatives, Accelerators & Startups

Parse VS Qrvey

Compare Parse VS Qrvey and see what are their differences

Parse logo Parse

Build applications faster with object and file storage, user authentication, push notifications, dashboard and more out of the box.

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
Visit Website
  • Parse Landing page
    Landing page //
    2021-10-17
  • 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.

Parse 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

Parse videos

No Parse videos yet. You could help us improve this page by suggesting one.

+ Add video

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Category Popularity

0-100% (relative to Parse and Qrvey)
Developer Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Realtime Backend / API
100 100%
0% 0
Business Intelligence
0 0%
100% 100

Questions and Answers

As answered by people managing Parse 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 Parse 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 Parse and Qrvey

Parse Reviews

What is AWS Amplify? - AWS Amplify Alternatives
It is well-known for making the development process quick, easy, and simple. Using Parse, you may complete a day's worth of work in a few hours.
Source: mindmajix.com
2023 Firebase Alternatives: Top 10 Open-Source & Free
Community Support – If Firebase comes with the backing of Google, then Parse is also tested and trusted by Facebook. Yes, Facebook is the parent company of Parse. Therefore, it has a big community. You can find resources and solutions regarding Parse on GitHub, Stack Overflow and several other programming forums.
12 Best Open-source Database Backend Server and Google Firebase Alternatives
Parse server is an open-source database backend solution which speed up application building. It features database, user management, authentication, file upload and push notification.I used Parse for a few times, and I was satisfied with the speed and productivity it offers, especially in terms of developer tools as it comes with dozens of SDKs, libraries and sample code to...
Source: medevel.com
10 Best Open Source Firebase Alternatives
You can download the Parse Server framework and deploy it on any server. Its repositories include the dashboard, SDK JavaScript, Android, and iOS. To host the Parse Server, you can either do it on-premises or self-hosted by downloading and installing it on a server such as Alibaba, AWS, Google Cloud, or Azure among others.
Top 5 Firebase Open Source Alternatives for 2021
The Parse platform has attracted many new developers because it allows the most straightforward backed development services. When you use Parse as a backend service, you can develop your application’s backend without having to code boilerplate functionality. Using Parse makes the whole development process very easy as you only have to code the frontend. Here are some...

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, Parse seems to be a lot more popular than Qrvey. While we know about 20 links to Parse, we've tracked only 1 mention of Qrvey. 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.

Parse mentions (20)

  • The 2024 Web Hosting Report
    Backend as a Service (BaaS) goes back to early 2010’s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else. - Source: dev.to / 4 months ago
  • How to set up a Parse Server backend with Typescript
    Parse Server is a great way to quickly spin up a backend for your project. Parse is a Node based utility that sits on top of ExpressJS. - Source: dev.to / over 1 year ago
  • Free online DB for production app
    You can try https://parseplatform.org/, it is self-hosted if you need. And also there are a number of cloud services with compatible API, like https://www.back4app.com/ It has dart-friendly generated API client, much simpler than firebase and is built on top of postgresql and mongodb. Source: almost 2 years ago
  • Supabase Series B
    Not to crash the party or anything. Supabase is great and all but in terms of feature completeness and getting actual products built, it doesn't come close to Parse[0]. Same with Appwrite. Both of these are very popular but they either lack essential features or have them behind a subscription wall. For example, the OSS version of Supabase (last I checked) doesn't include the edge functions which are really... - Source: Hacker News / almost 2 years ago
  • Parse Server or AppWrite
    I was regular user of Parse and after it became open-source I have built around 5-6 projects using Parse, two of them is with Flutter, but that's 1-2 years ago, and back then their Flutter SDK was a bit weak and unofficial, but currently Flutter SDK became official and I am about to start a new project, now I am considering another option AppWrite. Anyone used both and let me know how AppWrite compares to Parse?... Source: almost 2 years ago
View more

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

What are some alternatives?

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

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

AWS Amplify - JavaScript library for app development using cloud services

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

Back4App - Low code backend to build apps faster and scale easily.

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