Meltano: Dependable Data by Default

3 min read Original article ↗

Dependable data by
default

Meltano is an ETL platform built on open-source foundations,
engineered by experts for cloud scale, efficiency, and reliability.

Reduce
cost

Pay for the workloads you actually run. Costs stay predictable as data volumes grow, whether you self-manage Meltano or use a managed orchestrator.

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Increase
efficiency

Build, adjust, and debug connectors directly. You are not blocked by ticket queues, and support is available when you need it, not as a gatekeeper.

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Centralize
movement

Run all pipelines in one place, across databases, files, SaaS tools, internal systems, and workflows like dbt.

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Remove
constraints

Add new sources, apply transformations before the warehouse, adjust connectors, and let teams contribute pipelines without artificial limits.

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METLANO
Model

Meltano Models your data stack as code and provides built-in release management and governance using Git and GitHub workflows.
  • Implement controlled CI/CD pipelines for developing, testing, and promoting pipeline changes with full traceability and auditability.
  • Enforce strong governance and security with isolated customer environments, secure credential storage and encrypted data transfer.
  • Named Meltano environments, local development environments and deployment management into development and production workspaces are just some of the ways we help you make your data reliable by default. 
<span style="font-weight: 400;">environments:</span>
<span style="font-weight: 400;"> - name: prod</span>
<span style="font-weight: 400;">   env:</span>
<span style="font-weight: 400;">    </span><span style="font-weight: 400;"> </span><span style="font-weight: 400;">  MY_ENV_VAR:</span><span style="font-weight: 400;"> $MELTANO_PROJECT_ROOT/prod/file.json</span>
<span style="font-weight: 400;"> - name: dev</span>
<span style="font-weight: 400;">   env:</span>
<span style="font-weight: 400;">    </span><span style="font-weight: 400;"> </span><span style="font-weight: 400;">  MY_ENV_VAR:</span><span style="font-weight: 400;"> $MELTANO_PROJECT_ROOT/dev/file.json</span>

MELTANO
Extract and Load

Meltano supports 600+ pre-built connectors, making it straightforward for data teams to extract and load data via the UI, CLI, API, or AI.
  • Connect and ingest data from SaaS applications, REST APIs, semi-structured data (JSON and XML), and relational databases.
  • Choose your replication strategy: full, incremental, or log-based. Batch or near real-time. Configured in code.
  • Built-in idempotency keeps your pipelines consistent and self-correcting. Backfills are simple. Duplicates are handled automatically.
meltano add tap-postgres
meltano add target-snowflake
meltano config set tap-postgres sqlalchemy_url 
postgresql://warehouse:warehouse@localhost:5432/warehouse
meltano run tap-postgres target-snowflake

MELTANO
Transform

Meltano integrates directly with dbt™ for transformation and Elementary for data validation, both configured and version-controlled inside your Meltano project.
  • Manage your data models in version control. Every change is tracked, reviewable, and reversible.
  • Build and test models in plain SQL using your IDE or an AI assistant. No proprietary language, no lock-in.
  • Data quality checks run automatically. Schema drift, completeness gaps, and anomalous values are caught before they reach your analysts.
<span style="font-weight: 400;">meltano add --plugin-type transformer dbt</span>
<span style="font-weight: 400;">claude --inline “Add a job model with data quality tests to this meltano dbt project”</span>
<span style="font-weight: 400;">meltano invoke dbt show job</span>
<span style="font-weight: 400;">meltano invoke dbt run test</span>

MEL<em>T</em>ANO<br>Transform

MELTANO
Analytics and Notebooks

Meltano helps data teams prepare dependable data for their Analytics and Notebooks.
  • Omni, Power BI, Looker, Sigma, or any other BI Tool
  • Cube, dbt™, Snowflake, Preset or any other Semantic Layer
  • Built-in support for running Notebooks
ltano add extractor tap-postgres<br />
meltano add loader target-snowflake</p>
<p>cookiecutter https://github.com/meltano/sdk \<br />
&
meltano add &
<p>meltano add utility dbt-snowflake<br />
meltano add &
<p>meltano run tap-postgres target-snowflake dbt-snowflake<br />
meltano run tap-my-api target-snowflake my-script.

MELTANO
Orchestrate

Meltano Cloud provides robust and built-in orchestration for data operations with dozens of pipelines. Teams with hundreds of pipelines can use Meltano for Extract and Load and Apache Apache Airflow®, Dagster or Orchestra.
  • Monitor system health, ingestion job status, and pipeline performance with integrated monitoring, logging, and alerting.
  • Schedule and automate pipelines to match business cadence and support end-to-end data workflows.
  • Quickly troubleshoot and recover from issues with detailed logs, diagnostics, and the ability to perform full or partial re-syncs to correct data inconsistencies.
role="code">plugins:
  extractors:
  - name: tap-postgres
    config:
      host: pg.example.com
      user: admin
      password: $PG_PASSWORD
    select:
    - users.*
  loaders:
  - name: target-snowflake
schedules:
- name: app-to-dw
  interval: @hourly
  extractor: tap-postgres
  loader: target-snowflake

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