Software Alternatives, Accelerators & Startups
Register | Login

Micro Python VS Qrvey

Compare Micro Python VS Qrvey and see what are their differences

ASocks
Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Micro Python logo Micro Python

Python for microcontrollers

Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
  • Micro Python Landing page
    Landing page //
    2023-03-16
  • 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.

Micro Python features and specs

  • Lightweight
    MicroPython is designed to be a streamlined version of Python, optimized for microcontrollers and small embedded systems. It has a smaller footprint than full Python, making it ideal for constrained environments.
  • Python Compatibility
    MicroPython is largely compatible with standard Python (Python 3.x), which allows developers who are familiar with Python to easily adapt to MicroPython for embedded applications.
  • Real-Time Capabilities
    MicroPython supports real-time operating systems and can handle tasks that require precise timing, making it suitable for controlling hardware directly.
  • Active Community
    MicroPython has a growing community of developers and enthusiasts who contribute to its development, provide support, and share resources and libraries.
  • Cross-Platform Support
    MicroPython can run on a wide range of hardware platforms, including popular boards like ESP8266, ESP32, and Raspberry Pi Pico, offering flexibility for developers.

Possible disadvantages of Micro Python

  • Limited Library Support
    Not all Python libraries are available in MicroPython, and some may require re-implementation or adaptation to work within the constraints of microcontrollers.
  • Performance Constraints
    Due to its lightweight nature and the limited resources of typical target devices, MicroPython may not perform as well as standard Python in terms of speed and processing power.
  • Learning Curve for Hardware Interfacing
    Developers who are new to embedded systems may face a learning curve when it comes to hardware interfacing and understanding the limitations and capabilities of microcontrollers.
  • Memory Limitations
    Microcontrollers have significantly less memory than computers, which can limit the complexity of programs that can be run using MicroPython.
  • Fragmented Development Environment
    Compared to standard Python, the tools and IDE support for MicroPython can be less mature and more fragmented, which may make development more challenging.

Qrvey features and specs

  • Embedded Dashboards
  • Embedded Dashboard Builders
  • Embedded Single Charts/Metrics
  • Embedded Single Chart/Metric Builder
  • Data Warehouse
  • ETL
  • Alerts and Automation
  • Embedded Pixel-Perfect Reports
  • Native Multi-Tenant Data Security
  • Tenant Specific Content Deployment
  • Prebuilt Data Connectors (Redshift, PostgreSQL, Snowflake, etc)

Micro Python videos

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

Add video

Qrvey videos

+ Add

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

Category Popularity

0-100% (relative to Micro Python and Qrvey)

Micro Python

Qrvey

Education
100 100%
Education
0% 0
Analytics
0 0%
Analytics
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

Questions and Answers

As answered by people managing Micro Python 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 Micro Python 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 Micro Python and Qrvey

Micro Python Reviews

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

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, Micro Python seems to be a lot more popular than Qrvey. While we know about 81 links to Micro Python, 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.

Micro Python mentions (81)

  • Ask HN: What less-popular systems programming language are you using?
    I'll link to it because many people don't know a version of Python runs on microcontrollers: https://micropython.org/. - Source: Hacker News / 3 months ago
  • Tactility: OS for the ESP32 Microcontroller Family
    I'm personally working on something like this for the ESP32, but written on top of micropython [1]. A few things are written in C such as the display driver, but otherwise most things are in micropython. We chose the T-Watch 2020 V3 microphone variant as the platform [2]. Our objective is to build a modern PDA device via a mostly stand-alone watch that can be synced across devices (initially the Linux desktop). We... - Source: Hacker News / 4 months ago
  • Porting Python to a terrible $3 smartwatch [video]
    For context > MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. https://micropython.org/. - Source: Hacker News / 11 months ago
  • RustPython
    Just putting my hand up to say that MicroPython is awesome (and runs on the RP2040). https://micropython.org. - Source: Hacker News / over 1 year ago
  • about microprocessor
    If you really want to engage in the travesty that is shoehorning a high level scripting language into an environment that has 512 bytes of RAM and less clock cycles than an electric toothbrush, there is micropython. Source: over 1 year 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: over 1 year ago

What are some alternatives?

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

Mode Python Notebooks - Exploratory analysis you can share

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

Invent With Python - Learn to program Python for free

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

Full Stack Python - Explains programming language concepts in plain language.

Yellowfin - Yellowfin is a leading Business intelligence Software vendor. Find out how we are making Business Intelligence easy.

Loading...