Apache Superset vs Meltano

Struggling to choose between Apache Superset and Meltano? Both products offer unique advantages, making it a tough decision.

Apache Superset is a Business & Commerce solution with tags like data-visualization, dashboarding, exploring-data.

It boasts features such as Interactive data visualization, Ad-hoc query via SQL Lab, Granular access controls, Integration with major databases and data warehouses, Extensible via plugins and pros including Open source and free, Rich set of data visualizations, Fast and flexible for ad-hoc analysis, Good community support.

On the other hand, Meltano is a Data & Analytics product tagged with datapipelines, dataintegration, opensource.

Its standout features include Open source ELT platform, Visual interface for building data pipelines, Manages infrastructure like Docker and dbt, Standardizes data engineering workflows, Connectors for many data sources and warehouses, Orchestration of dbt models and jobs, Command line interface and API, Plugin ecosystem for extensibility, and it shines with pros like Free and open source, Simplifies data pipeline creation, Promotes best practices like dbt, Reduces infrastructure management overhead, Large ecosystem of plugins, Active open source community.

Feature	Apache Superset	Meltano
Overall Score	N/A	N/A
Primary Category	Business & Commerce	Data & Analytics

Product Overview

Apache Superset

Description: Apache Superset is an open-source data visualization and dashboarding platform. It provides rich customizable dashboards, as well as an easy-to-use interface for exploring and visualizing data.

Meltano

Description: Meltano is an open source data integration platform that makes it easier for data engineers and analysts to connect, transform, and load data. It includes a visual interface for building data pipelines, manages underlying infrastructure, and standardizes workflows.

Key Features Comparison

Apache Superset Features

• Interactive data visualization
• Ad-hoc query via SQL Lab
• Granular access controls
• Integration with major databases and data warehouses
• Extensible via plugins

Meltano Features

• Open source ELT platform
• Visual interface for building data pipelines
• Manages infrastructure like Docker and dbt
• Standardizes data engineering workflows
• Connectors for many data sources and warehouses
• Orchestration of dbt models and jobs
• Command line interface and API
• Plugin ecosystem for extensibility

Pros & Cons Analysis

Apache Superset

Pros

• Open source and free
• Rich set of data visualizations
• Fast and flexible for ad-hoc analysis
• Good community support

Cons

• Steep learning curve
• Not as polished as some commercial options
• Limited native support for real-time data

Meltano

Pros

• Free and open source
• Simplifies data pipeline creation
• Promotes best practices like dbt
• Reduces infrastructure management overhead
• Large ecosystem of plugins
• Active open source community

Cons

• Limited to ELT workflows
• Less flexibility than custom coded pipelines
• Steep initial learning curve
• Not as feature rich as commercial ETL tools
• Limited documentation and support

Pricing Comparison

Apache Superset

• Open Source

Meltano

• Open Source