Software Alternatives, Accelerators & Startups

Qrvey VS Pulumi

Compare Qrvey VS Pulumi and see what are their differences

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
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Pulumi logo Pulumi

Cloud Infrastructure for any cloud using languages you already know and love.
  • 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.

  • Pulumi Landing page
    Landing page //
    2019-01-06

Pulumi lets engineers deliver infrastructure as code faster, using any programming language. The Pulumi Platform enables customers to manage 10x more resources at lower cost than traditional tools, while Pulumi Insights unlocks analytics and search across cloud infrastructure, and enables novel AI-driven infrastructure automation.

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

Pulumi features and specs

No features have been listed yet.

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Pulumi videos

Pulumi Up(date) with Corey Quinn and Joe Duffy

More videos:

  • Review - Ep 002: How Pulumi Works
  • Review - Cloud Infrastructure as C# and F# with Pulumi - .NET South West - February 2020

Category Popularity

0-100% (relative to Qrvey and Pulumi)
Data Dashboard
100 100%
0% 0
Infrastructure Build Tools
Business Intelligence
100 100%
0% 0
DevOps Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Qrvey and Pulumi.

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 Pulumi. 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 Pulumi

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

Pulumi Reviews

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

Social recommendations and mentions

Based on our record, Pulumi seems to be a lot more popular than Qrvey. While we know about 12 links to Pulumi, 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.

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

Pulumi mentions (12)

  • How I get better feedback on my PRs (and how you can, too)
    Lang="en"> charset="utf-8"> Hello, world! Hello, world! 👋 Deployed with 💜 by new href="https://pulumi.com/">Pulumi. - Source: dev.to / 12 months ago
  • AWS EC2 Auto Scaling, Target Tracking Policies and Prometheus Exporters
    Pulumi IaC will help us bring up our infrastructure on the AWS Cloud. Check out pulumi.com if you still need to become familiar with it. You can deploy this demo stack using the Pulumi button below. - Source: dev.to / over 1 year ago
  • Terraform - How do you handle secrets?
    There are other infrastructure as code tools that take secrets seriously. Pulumi encrypts all values in state and you can even bring your own key from your cloud provider. Source: over 1 year ago
  • Observability Mythbusters: Yes, Observability-Landscape-as-Code is a Thing
    *Codifying the deployment of the OTel Collector *(to Nomad, Kubernetes, or a VM) using tools such as Terraform, Pulumi, or Ansible. The Collector funnels your OTel data to your Observability back-end. ✅. - Source: dev.to / almost 2 years ago
  • My "infrastructure as code" tool to manage production-grade clusters
    It takes too much time, terraform configs are not easy to use also. Pulumi is much better to maintenance. Cloudy is good enough for launching a production-ready cluster in 5-10 minutes. It could be an alternative to kops. Source: about 2 years ago
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What are some alternatives?

When comparing Qrvey and Pulumi, 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.

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

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

AWS CloudFormation - AWS CloudFormation gives developers and systems administrators an easy way to create and manage a...

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

Google Cloud Deployment Manager - Infrastructure Build Tools