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  5. Keen vs VulcanSQL

Keen vs VulcanSQL

OverviewComparisonAlternatives

Overview

Keen
Keen
Stacks224
Followers156
Votes268
VulcanSQL
VulcanSQL
Stacks0
Followers3
Votes0
GitHub Stars771
Forks43

VulcanSQL vs Keen: What are the differences?

VulcanSQL: Build analytics APIs from parameterized SQL. It is an Analytics API generator that helps data engineers to build scalable analytics APIs using only SQL without writing any backend code; Keen: Keen is the platform that gives you powerful in-product analytics fast with minimal development time. Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.

VulcanSQL and Keen can be primarily classified as "Custom Analytics" tools.

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Detailed Comparison

Keen
Keen
VulcanSQL
VulcanSQL

Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.

It is an Analytics API generator that helps data engineers to build scalable analytics APIs using only SQL without writing any backend code.

You can track any kind of interaction that is happening on your website, mobile app, or backend. Keen handles every step in the life cycle of your data, from ingestion to presentation.
Parameterized SQL into scalable and secure APIs; Built-in API access and version control; Built-in self-generated API documentation; Integrate with existing toolsets, such as Excel / Google spreadsheet, Zapier, Retool, etc
Statistics
GitHub Stars
-
GitHub Stars
771
GitHub Forks
-
GitHub Forks
43
Stacks
224
Stacks
0
Followers
156
Followers
3
Votes
268
Votes
0
Pros & Cons
Pros
  • 57
    Very powerful API
  • 43
    Easy setup
  • 31
    Great Customer Support
  • 24
    Built by developers for developers
  • 24
    Customization
Cons
  • 1
    Limited concurrent queries
No community feedback yet
Integrations
Stripe
Stripe
GitHub
GitHub
Heroku
Heroku
Runscope
Runscope
Segment
Segment
Postman
Postman
StackMob
StackMob
Twilio SendGrid
Twilio SendGrid
Retool
Retool
Node.js
Node.js
PostgreSQL
PostgreSQL
Microsoft Excel
Microsoft Excel
Google Sheets
Google Sheets
Docker
Docker
Zapier
Zapier
DuckDB
DuckDB

What are some alternatives to Keen, VulcanSQL?

Snowplow

Snowplow

Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Ahoy

Ahoy

Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

digna

digna

Is the game-changing European modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.

Bitdeli

Bitdeli

Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.

Rybbit

Rybbit

Next-gen, open source, lightweight, cookieless web & product analytics for everyone — GDPR/CCPA compliant.

Sportlingo

Sportlingo

AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.

Iteratively

Iteratively

Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.

Objectiv

Objectiv

Open-source product analytics infrastructure with a generic event taxonomy, so models built on one company's data set can be deployed and run on another.

Rakam

Rakam

You can build custom reports or custom dashboards just connect Rakam with third-party tools or join Rakam data with internal data sources. A full stack analytics platform for you, including both backend and frontend.

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