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Qrvey VS emacs-slack

Compare Qrvey VS emacs-slack and see what are their differences

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Qrvey logo Qrvey

Embedded Analytics built exclusively for SaaS applications.
Visit Website

emacs-slack logo emacs-slack

slack client for emacs. Contribute to yuya373/emacs-slack development by creating an account on GitHub.
  • 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.

  • emacs-slack Landing page
    Landing page //
    2023-08-27

Qrvey

Website
qrvey.com
Pricing URL
Official Qrvey Pricing
$ Details
paid Free Trial
Platforms
Amazon
Edit details

emacs-slack

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Edit details

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

emacs-slack features and specs

No features have been listed yet.

Qrvey videos

+ Add

Qrvey Embedded Analytics Demo

More videos:

  • Demo - Qrvey Intro Video

emacs-slack videos

No emacs-slack videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Qrvey and emacs-slack)

Qrvey

emacs-slack

Data Dashboard
100 100%
Data Dashboard
0% 0
Development Tools
0 0%
Development Tools
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
Git
0 0%
Git
100% 100

Questions and Answers

As answered by people managing Qrvey and emacs-slack.

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 emacs-slack. 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 emacs-slack

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

emacs-slack Reviews

We have no reviews of emacs-slack yet.
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Social recommendations and mentions

Based on our record, emacs-slack should be more popular than Qrvey. It has been mentiond 3 times since March 2021. 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

emacs-slack mentions (3)

  • Ask HN: Is it still possible to live in a terminal?
    Emacs (which can be run in the terminal using the "-nw" option) has a slack package -- I dipped my toes in and noped out quickly, as I found it too difficult and too ugly compared to using the app: https://github.com/yuya373/emacs-slack I've tried to do the same thing: going completely text mode. For me, it was disastrous -- it was a big distraction for me at work, at two jobs. I even left a good job partially so... - Source: Hacker News / over 1 year ago
  • Shrugs.app – A native Slack client for macOS
    An emacs slack client maybe: https://github.com/yuya373/emacs-slack? - Source: Hacker News / almost 2 years ago
  • My lizard brain is no match for infinite scroll
    I love the focus the terminal brings, besides the solid benefit of scriptable and automation that’s not possible with most GUI apps. I’ve recently rediscovered emacs and now use it as my primary tool for development. I already loved working in the terminal for git and xcodebuild so it’s felt natural. Moving editing and workflow into emacs has been great so far. I’m already customizing things. Even using eshell!... - Source: Hacker News / about 2 years ago

What are some alternatives?

When comparing Qrvey and emacs-slack, 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.

PullReminders - Review and release pull requests faster with Slack reminders and metrics.

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

Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.

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

Linen - Business Tools, Collaboration, and Slack Tools

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