Ahoy vs Blazer vs Metabase

Overview

Ahoy

Stacks155

Followers17

Votes3

GitHub Stars4.4K

Forks380

Blazer

Stacks23

Followers24

Votes0

GitHub Stars4.7K

Forks486

Metabase

Stacks928

Followers1.2K

Votes271

GitHub Stars44.4K

Forks6.0K

Ahoy vs Blazer vs Metabase: What are the differences?

Deployment flexibility: Ahoy is a Ruby on Rails engine which is self-hosted and can be embedded directly into the Rails application, while Blazer is a stand-alone application that can be deployed separately on a server. In contrast, Metabase is also a stand-alone application that can be run on a local machine or in the cloud.
Integration with SQL databases: Ahoy natively supports SQLite and PostgreSQL, while using other databases may require additional configuration. Blazer, on the other hand, can work with a variety of SQL databases like MySQL, PostgreSQL, and Amazon Redshift. Metabase offers similar flexibility by supporting various SQL databases including MySQL, PostgreSQL, and SQL Server.
Built-in visualization capabilities: Ahoy has basic visualization features like charts and graphs, but is not as feature-rich as Blazer which offers a wide range of visualization options including pivot tables and geo-spatial visualizations. Metabase also provides robust visualization capabilities with interactive dashboards and real-time charts.
Community support and maintenance: Ahoy has a smaller user base and may have limited community support compared to Blazer and Metabase which have larger and active communities contributing to their development and maintenance.
Customization and extensibility: Blazer and Metabase offer more advanced customization options and extensibility through plugins or custom scripts, allowing users to tailor the tool to their specific needs. In comparison, Ahoy may have limited options for customization and extension due to its focus on simplicity and ease of use.
Documentation and learning resources: Blazer and Metabase have extensive documentation, tutorials, and community forums available for users to quickly get started and troubleshoot any issues they may encounter. Ahoy’s documentation and learning resources may be more limited in comparison, making it potentially more challenging for new users to navigate and utilize all its features effectively.

In Summary, Ahoy, Blazer, and Metabase differ in terms of deployment flexibility, database integration, visualization capabilities, community support, customization options, and documentation resources.

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Detailed Comparison

Ahoy	Blazer	Metabase
Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.	Share data effortlessly with your team	It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
-	Secure - works with your authentication system;Variables - run the same queries with different values;Linked Columns - link to other pages in your apps or around the web;Smart Columns - get the data you want without all the joins;Smart Variables - no need to remember ids;Charts - visualize the data;Audits - all queries are tracked	-
Statistics
GitHub Stars 4.4K	GitHub Stars 4.7K	GitHub Stars 44.4K
GitHub Forks 380	GitHub Forks 486	GitHub Forks 6.0K
Stacks 155	Stacks 23	Stacks 928
Followers 17	Followers 24	Followers 1.2K
Votes 3	Votes 0	Votes 271
Pros & Cons
Pros 3 Free	No community feedback yet	Pros 62 Database visualisation 45 Open Source 41 Easy setup 36 Dashboard out of the box 23 Free Cons 7 Harder to setup than similar tools
Integrations
Rails	PostgreSQL MySQL	PostgreSQL MongoDB Amazon Redshift MySQL Microsoft SQL Server

What are some alternatives to Ahoy, Blazer, Metabase?

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.

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

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.

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Related Comparisons

Ahoy vs Blazer vs Metabase: What are the differences?

Deployment flexibility: Ahoy is a Ruby on Rails engine which is self-hosted and can be embedded directly into the Rails application, while Blazer is a stand-alone application that can be deployed separately on a server. In contrast, Metabase is also a stand-alone application that can be run on a local machine or in the cloud.
Integration with SQL databases: Ahoy natively supports SQLite and PostgreSQL, while using other databases may require additional configuration. Blazer, on the other hand, can work with a variety of SQL databases like MySQL, PostgreSQL, and Amazon Redshift. Metabase offers similar flexibility by supporting various SQL databases including MySQL, PostgreSQL, and SQL Server.
Built-in visualization capabilities: Ahoy has basic visualization features like charts and graphs, but is not as feature-rich as Blazer which offers a wide range of visualization options including pivot tables and geo-spatial visualizations. Metabase also provides robust visualization capabilities with interactive dashboards and real-time charts.
Community support and maintenance: Ahoy has a smaller user base and may have limited community support compared to Blazer and Metabase which have larger and active communities contributing to their development and maintenance.
Customization and extensibility: Blazer and Metabase offer more advanced customization options and extensibility through plugins or custom scripts, allowing users to tailor the tool to their specific needs. In comparison, Ahoy may have limited options for customization and extension due to its focus on simplicity and ease of use.
Documentation and learning resources: Blazer and Metabase have extensive documentation, tutorials, and community forums available for users to quickly get started and troubleshoot any issues they may encounter. Ahoy’s documentation and learning resources may be more limited in comparison, making it potentially more challenging for new users to navigate and utilize all its features effectively.

Ahoy vs Blazer vs Metabase

Overview