Meltano

Meltano

An open source ELT (Extract, Load, Transform) platform built for the DataOps era.

HQ location
San Francisco, United States
Launch date
Employees
Enterprise value
$33—49m
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DateInvestorsAmountRound
-investor investor investor investor investor

€0.0

round
investor

€0.0

round
investor investor investor investor

€0.0

round
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$8.2m

Seed
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Meltano
Made with AI
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Meltano is a data integration platform that simplifies the process of accessing, managing, and utilizing data for businesses. It operates in the data integration and machine learning market, serving clients that require efficient data management and integration solutions. Meltano's primary offering is a declarative code-first data integration engine that eliminates the need for businesses to write, maintain, and scale their own API integrations.

The platform allows users to unlock over 600 APIs and databases using a single YAML file and command-line interface (CLI). This means that businesses can easily access and manage vast amounts of data from various sources. Meltano also enables users to define their data pipelines within their codebase, using common DevOps workflows. This is akin to using Terraform, a tool that allows developers to describe and provide data center infrastructure using a declarative configuration language.

Meltano's business model is based on providing a platform that allows businesses to manage hundreds of data sources, thousands of customer pipelines, and petabytes of data with ease. Users can build and improve connectors, process data using their own Python scripts and data tools, or even contribute to Meltano itself.

The platform also integrates machine learning and artificial intelligence capabilities, allowing businesses to store data in a location that their ML code can easily access. Users can also experiment with new pipelines, connectors, and configuration changes safely on their local machine, and can manually verify the impact of any changes in isolated environments.

In terms of revenue generation, while the specifics are not explicitly stated, it is likely that Meltano operates on a subscription-based model, charging customers for access to its platform and features.

Keywords: Data Integration, API Integration, Declarative Code, YAML, Command-Line Interface, Data Pipelines, DevOps Workflows, Machine Learning, Artificial Intelligence, Subscription Model.

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