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  1. Stackups
  2. Stackups
  3. Snowplow vs VulcanSQL

Snowplow vs VulcanSQL

OverviewComparisonAlternatives

Overview

Snowplow
Snowplow
Stacks130
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K
VulcanSQL
VulcanSQL
Stacks0
Followers3
Votes0
GitHub Stars771
Forks43

VulcanSQL vs Snowplow: What are the differences?

What is 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.

What is Snowplow? The enterprise-grade event data collection platform. Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

VulcanSQL and Snowplow can be categorized as "Custom Analytics" tools.

Some of the features offered by VulcanSQL are:

  • Parameterized SQL into scalable and secure APIs
  • Built-in API access and version control
  • Built-in self-generated API documentation

On the other hand, Snowplow provides the following key features:

  • Track rich events from your websites, mobile apps, server-side systems, third party systems and any type of connected device, so that you have a record of what happened, when, and to whom
  • Load your data into your data warehouse of choice to power sophisticated analytics
  • Process your data including validating, enriching and modeling it

Snowplow is an open source tool with 6.25K GitHub stars and 1.21K GitHub forks. Here's a link to Snowplow's open source repository on GitHub.

Detailed Comparison

Snowplow
Snowplow
VulcanSQL
VulcanSQL

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

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

Track rich events from your websites, mobile apps, server-side systems, third party systems and any type of connected device, so that you have a record of what happened, when, and to whom;Load your data into your data warehouse of choice to power sophisticated analytics;Process your data including validating, enriching and modeling it;Your data is available in real-time via Amazon Kinesis, Google Pub/Sub and BigQuery to power real-time applications and reports;Your data pipeline is running in your cloud environment giving you full ownership and control of your data
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
7.0K
GitHub Stars
771
GitHub Forks
1.2K
GitHub Forks
43
Stacks
130
Stacks
0
Followers
174
Followers
3
Votes
35
Votes
0
Pros & Cons
Pros
  • 7
    Can track any type of digital event
  • 5
    Data quality
  • 5
    First-party tracking
  • 4
    Real-time streams
  • 4
    Completely open source
No community feedback yet
Integrations
Elasticsearch
Elasticsearch
Microsoft Azure
Microsoft Azure
Amazon S3
Amazon S3
PostgreSQL
PostgreSQL
Amazon Redshift
Amazon Redshift
AzureDataStudio
AzureDataStudio
Google Cloud Storage
Google Cloud Storage
Kafka
Kafka
Google BigQuery
Google BigQuery
Apache Spark
Apache Spark
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 Snowplow, VulcanSQL?

Keen

Keen

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.

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.

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.

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.

EventNative

EventNative

It is an open source, high-performance, event collection service. Capture all events your application generates and stream to your preferred Data Warehouse with current support for RedShift and BigQuery. EventNative can be deployed in 1-click on the infrastructure of your choice.

Mixpanel Export Tool

Mixpanel Export Tool

Export events & user data from your mixpanel account to a hosted mongodb/mysql in minutes. Run custom BI queries and advanced user reports that Mixpanel can't.

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