Software Alternatives, Accelerators & Startups

Qrvey VS PubNub

Compare Qrvey VS PubNub and see what are their differences

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
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PubNub logo PubNub

PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.
  • 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.

  • PubNub Landing page
    Landing page //
    2023-10-05

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

PubNub features and specs

No features have been listed yet.

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

PubNub videos

Realtime Bike Tracking App with MediaTek and PubNub

More videos:

  • Review - Streaming Realtime Analytics with Keen IO and PubNub
  • Review - PubNub IOT House Training Video

Category Popularity

0-100% (relative to Qrvey and PubNub)
Business Intelligence
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Mobile Push Messaging
0 0%
100% 100

Questions and Answers

As answered by people managing Qrvey and PubNub.

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 PubNub. For example, how are they different and which one is better?
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Reviews

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

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

PubNub Reviews

2023 Firebase Alternatives: Top 10 Open-Source & Free
PubNub is another new but advanced Firebase alternative in our list. It handles 3 trillion monthly calls with 99.999% uptime and accesses 800 million devices over the globe. The renowned customers of PubNub are Kustomer, vFairs and Swiggy.
SignalR Alternatives
Pubnub is considered one of the good alternatives to SignalR because it comes to the rescue when secured data streams get exchanged over the network with API that helps in connecting with the applications to the real-time one.
Source: www.educba.com
Firebase Alternatives – Top 10 Competitors
Pubnub IoT Device Control Real-time updates Storage & Playback Stream Controller Push Notifications Analytics Access Management
Top 10 Alternatives To Firebase
PubNub is popular for its versatile streaming abilities. You can create promising web and mobile apps with PubNub.
Source: www.redbytes.in

Social recommendations and mentions

PubNub might be a bit more popular than Qrvey. We know about 1 link to it since March 2021 and only 1 link to 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.

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

PubNub mentions (1)

  • gRPC test-and-try with Akka Serverless and Evans
    I first learned about gRPC about five years go. Since that moment in time when an engineer at PubNub introduced me to the framework, I have let the idea of gRPC simmer more in the background, especially since I was already rather steeped in REST, Open API, Swagger, and other sundries seen in the broader API space (miss you, Mashery. There seemed to be plenty of great tooling, documentation and technologies... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Qrvey and PubNub, 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.

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

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

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

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

Socket.io - Realtime application framework (Node.JS server)