Airbyte logo
0.0(0 reviews)
Software Status:Active
Free trial
Web, Windows, Mac +more
San Francisco, CA, USA
Email
All Countries

About Airbyte

Airbyte is a data integration platform that helps users move data from various sources like applications, APIs, and databases to destinations such as data warehouses and lakes. It offers both a self-managed open-source version and a managed cloud service, featuring a large catalog of pre-built connectors and a builder for creating custom ones. The platform also provides a context layer for building and powering AI agents.

Airbyte Details

Vendor
Airbyte
Year Launched
2020
Location
San Francisco, CA, USA
Deployment
cloud, on premise, windows, mac, linux, web browser
Training Options
documentation, videos, demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian
Users
Data engineers, Developers, AI developers, Data teams, Data analysts, Product managers
Industries Served
Data engineering, SaaS, finance, healthcare, eCommerce, AI and machine learning
Tags
data-integration, etl, data-replication, open-source, saas, ai-agents, data-engineers, change-data-capture

Airbyte's In-App Market Place

Does Airbyte have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CHF (CHF), CNY (¥), INR (₹), KRW (₩), MXN (Mex$), NZD (NZ$), RUB (₽), SGD (S$)

Pros & Cons

  • The open-source core offers significant flexibility and a large, community-driven catalog of over 600 connectors.
  • Supports both traditional data replication (ETL/ELT) and modern use cases for powering AI agents with business context.
  • Offers both a free self-hosted version and a managed cloud platform with flexible pricing models.
  • Provides robust developer tools, including a low-code connector builder, Terraform provider, API, and Python SDK.
  • Self-hosted deployments may require DevOps and engineering expertise to maintain effectively.
  • Some users report scalability and reliability challenges for extremely large enterprise workloads.
  • Connector quality and stability can vary between community-maintained integrations.
  • Transformation workflows often rely on external tools such as dbt for advanced processing.
  • The platform may require technical onboarding for non-engineering teams unfamiliar with ELT systems.

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