Meltano vs Apache Superset

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

Meltano is a Data & Analytics solution with tags like datapipelines, dataintegration, opensource.

It boasts features such as 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 pros including 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.

On the other hand, Apache Superset is a Business & Commerce product tagged with data-visualization, dashboarding, exploring-data.

Its standout features include Interactive data visualization, Ad-hoc query via SQL Lab, Granular access controls, Integration with major databases and data warehouses, Extensible via plugins, and it shines with pros like Open source and free, Rich set of data visualizations, Fast and flexible for ad-hoc analysis, Good community support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Meltano

Meltano

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.

Categories:
datapipelines dataintegration opensource

Meltano Features

  1. Open source ELT platform
  2. Visual interface for building data pipelines
  3. Manages infrastructure like Docker and dbt
  4. Standardizes data engineering workflows
  5. Connectors for many data sources and warehouses
  6. Orchestration of dbt models and jobs
  7. Command line interface and API
  8. Plugin ecosystem for extensibility

Pricing

  • Open Source

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


Apache Superset

Apache Superset

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.

Categories:
data-visualization dashboarding exploring-data

Apache Superset Features

  1. Interactive data visualization
  2. Ad-hoc query via SQL Lab
  3. Granular access controls
  4. Integration with major databases and data warehouses
  5. Extensible via plugins

Pricing

  • Open Source

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