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.
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Meltano: Open Source Data Integration Platforms
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.
What is Meltano?
Meltano is an open source data integration and ELT (extract, load, transform) platform aimed at helping data engineers and analysts more easily move, transform, and load data from various sources into data warehouses or visualization platforms. Features include:
- Visual interface for building data pipelines by connecting data sources, adding transformations, scheduling jobs, etc.
- Manages infrastructure like containers for data transformation and connectors for accessing data at the code level so engineers don't have to
- Centralized control of workflow steps, promoting reuse and standardization across the organization
- Extensible architecture - works with common warehouse (e.g. Snowflake, BigQuery, Redshift) and visualization platforms (e.g. Looker, Tableau, Power BI)
- CLI for managing infrastructure and environments
- Free and open source (Apache 2.0 license)
Meltano aims to simplify building and maintaining scalable, reproducible data pipelines by abstracting away underlying complexity. It can help organizations centrally govern data integration to enable analytics and machine learning.
Meltano Features
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
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
Official Links
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