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Qrvey VS AWS Lambda

Compare Qrvey VS AWS Lambda and see what are their differences

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
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AWS Lambda logo AWS Lambda

Automatic, event-driven compute service
  • 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.

  • AWS Lambda Landing page
    Landing page //
    2023-04-29

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

AWS Lambda features and specs

No features have been listed yet.

Qrvey videos

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

AWS Lambda videos

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

  • Tutorial - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • Tutorial - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

Category Popularity

0-100% (relative to Qrvey and AWS Lambda)
Business Intelligence
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

Questions and Answers

As answered by people managing Qrvey and AWS Lambda.

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

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Reviews

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

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

AWS Lambda Reviews

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

Social recommendations and mentions

Based on our record, AWS Lambda seems to be a lot more popular than Qrvey. While we know about 249 links to AWS Lambda, 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: 6 months ago

AWS Lambda mentions (249)

  • A Brief History Of Serverless
    On this day, we both first learned about Lambda. This was the world's first public Functions-as-a-Service platform, better known as FaaS. They told us that this was the next evolution in Cloud Computing. With Lambda, you could now host snippets of code on AWS. There were no more idle workers, and you could auto-scale with minimal additional configuration required. Also, these snippets were event-driven by nature.... - Source: dev.to / 7 days ago
  • Building composable applications: Playing with building blocks
    AWS Lambda simplifies composable applications by offering serverless execution, seamless integration with AWS services, automatic scaling, and cost efficiency without the need to manage servers. - Source: dev.to / 13 days ago
  • How to Deploy Dart Functions to AWS Lambda
    Deploying Dart functions to AWS Lambda enables you to utilize them not only within AWS Lambda but also integrate them with services like Amazon API Gateway, allowing you to leverage them in Flutter applications as well. This unified codebase in Dart offers great convenience. - Source: dev.to / 13 days ago
  • Event-Driven Architecture on AWS
    Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / 21 days ago
  • AWS Lambda Serverless Security. Mistakes, Oversights, and Potential Vulnerabilities
    Amazon Web Services (AWS) Lambda is a serverless function-as-a-service (FaaS) platform that lets you deploy, run, and scale code in the cloud as self-contained functions without having to manually configure any infrastructure. Lambda runs your functions on demand in response to specific events, such as an HTTP request from the internet or activity in another AWS service. - Source: dev.to / 18 days ago
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What are some alternatives?

When comparing Qrvey and AWS Lambda, 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.

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

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

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

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

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.