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What is Meltano?

Meltano provides exceptional adaptability for deploying your data solutions effectively. You can gain full control over your data infrastructure from inception to completion. With a rich selection of over 300 connectors that have proven their reliability in production environments for years, numerous options are available to you. The platform allows you to execute workflows in distinct environments, conduct thorough end-to-end testing, and manage version control for every component seamlessly. Being open-source, Meltano gives you the freedom to design a data architecture that perfectly fits your requirements. By representing your entire project as code, collaborative efforts with your team can be executed with assurance. The Meltano CLI enhances the project initiation process, facilitating swift setups for data replication. Specifically tailored for handling transformations, Meltano stands out as the premier platform for executing dbt. Your complete data stack is contained within your project, making production deployment straightforward. Additionally, any modifications made during the development stage can be verified prior to moving on to continuous integration, then to staging, and finally to production. This organized methodology guarantees a seamless progression through each phase of your data pipeline, ultimately leading to more efficient project outcomes.

What is Dagster?

Dagster serves as a cloud-native open-source orchestrator that streamlines the entire development lifecycle by offering integrated lineage and observability features, a declarative programming model, and exceptional testability. This platform has become the preferred option for data teams tasked with the creation, deployment, and monitoring of data assets. Utilizing Dagster allows users to concentrate on executing tasks while also pinpointing essential assets to develop through a declarative methodology. By adopting CI/CD best practices from the outset, teams can construct reusable components, identify data quality problems, and detect bugs in the early stages of development, ultimately enhancing the efficiency and reliability of their workflows. Consequently, Dagster empowers teams to maintain a high standard of quality and adaptability throughout the data lifecycle.

Media

Media

Integrations Supported

Apache Airflow
GitHub
Great Expectations
Microsoft Teams
MySQL
PagerDuty
PostgreSQL
Slack
Snowflake
Twilio
dbt
Braintree
Forecast
Oracle Aconex
SQLite
ShipStation
Smartsheet
Superset
WooCommerce
WorkRamp

Integrations Supported

Apache Airflow
GitHub
Great Expectations
Microsoft Teams
MySQL
PagerDuty
PostgreSQL
Slack
Snowflake
Twilio
dbt
Braintree
Forecast
Oracle Aconex
SQLite
ShipStation
Smartsheet
Superset
WooCommerce
WorkRamp

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meltano

Company Location

United States

Company Website

meltano.com

Company Facts

Organization Name

Dagster Labs

Date Founded

2019

Company Location

United States

Company Website

dagster.io

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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