meltano benefits

Meltano ELT

Meltano’s DataOps platform infrastructure helps you run a robust ELT platform that delivers flexibility and limitless collaboration.
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Your Data Stack Maintained from the CLI in Minutes

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Deploy Anywhere

Meltano provides the ultimate flexibility in deployment options. Own your data stack, end to end.

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Largest Connector Library

Ever-growing connector library of 300-plus connectors have been running in production for years.

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Stable and Reliable

Software DevOps best practices let you run workflows in isolated environments, execute end-to-end tests, and version control everything.

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Customizable

Open source gives you the power to use your chosen tools and technologies to build your ideal data stack.

Extract – Load – Transform (ELT) Data Process

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Extract

Fetch data from anywhere: database, API, files, and more, all in the Singer format.

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Load

Send data to your data warehouse, file system, object store, or API – anywhere that accepts Singer data.

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Transform

Transform your data your way, using the best in class tool for SQL transformations: dbt.

From Zero to ELT in 90 Seconds

Open source data integration has never been easier or faster. With Meltano, you can extract data from GitHub and load it into PostgreSQL (or Snowflake, BigQuery, Redshift, etc.) in just 90 seconds from initializing a new Meltano project to viewing the loaded data in the resulting Meltano project repository.

Meltano Versus ELT Vendors

Meltano is your open-source, modern DataOps platform infrastructure. We also happen to be a great open source extract, load, and transfer (ELT) tool.

Here’s how we compare to others in the market today:

Self Hosted
Open Source
CI/CD
Extract and Load
Isolated Dev Environments
Inline Hashing for PII
Pipeline Testing
Pipelines as Code
Connectors
300+
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160+
Airbyte logo
170+

Manage Your ELT Pipelines With a Self-hosted Solution

Turn your chosen data tools into an end-to-end platform

What is ELT?

ELT means Extract, Load, Transform. It’s a method of data replication and transformation used to perform data integration at any scale. The purpose of ELT is to extract specific data—such as customer information or billing records—from its source and deliver it to its end point in the fastest, most reliable way possible.

ELT is a three-step process:

  • Extract the raw, unorganized data from the source location
  • Load the unprocessed data into its target destination, such as a data warehouse
  • Transform the data into an accessible, comprehensible format at its target destination, such as an analytics report

Advantages of ELT

ELT does a few things very well. Ingestion speeds are high since remote processing isn’t a prerequisite to loading. In addition, raw data can deliver more insights due to its historical nature, since timelines and metrics are readily available for mining.

ELT is also highly scalable since it can tap into cloud resources and native processing power, and adding more data sources isn’t a problem.

Benefits from running your ELT pipeline with Meltano:

  • Data source identification
  • Automated extraction and loading
  • Determine analytical and project goals
  • Create data models via transformations
  • Extract insights via analysis

Run Your ELT Pipeline with Meltano

Ready to get started? Run an ELT pipeline with a data source and destination of your choosing.