List of Airbyte Customers
San Francisco, 94114, CA,
United States
Since 2010, our global team of researchers has been studying Airbyte customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Airbyte for iPaaS (Integration Platform as a Service) from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Airbyte for iPaaS (Integration Platform as a Service) include: Peloton Interactive, a United States based Manufacturing organisation with 2853 employees and revenues of $2.70 billion, Symend, a Canada based Banking and Financial Services organisation with 140 employees and revenues of $30.0 million, Faros Ai, a United States based Professional Services organisation with 35 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Airbyte, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Airbyte customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Faros Ai | Professional Services | 35 | $5M | United States | Airbyte | Airbyte | iPaaS (Integration Platform as a Service) | 2022 | n/a | In 2022 Faros Ai embedded Airbyte into Faros Community Edition to provide ELT ingestion of engineering operations data, enabling the platform to surface DORA metrics and other developer productivity analytics. The implementation uses Airbyte as the ELT application to centralize DevOps and engineering telemetry across the United States, with Airbyte pipelines orchestrated inside the Faros CE deployment. Airbyte is configured with custom destination connectors developed by Faros to accelerate time-to-data, and those connectors are contributed back to the Airbyte ecosystem by the community. The implementation focuses on ELT capabilities, including connector orchestration, incremental replication and schema mapping typical of ELT workflows, to normalize DevOps event streams for downstream analytics. The deployment is embedded as part of Faros Community Edition rather than a standalone instance, so Airbyte functions as an integrated ingestion layer within Faros CE. Operational coverage is centered on engineering and DevOps teams, and the data flows into Faros for computation of DORA metrics and developer productivity reports. Governance is organized around a community-driven connector model and repository contributions, with configuration management for custom destination connectors to maintain data consistency and accelerate rollouts. The stated outcome of the implementation is faster time-to-data through embedded Airbyte ELT pipelines and community-sourced connector development. | |
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Peloton Interactive | Manufacturing | 2853 | $2.7B | United States | Airbyte | Airbyte | iPaaS (Integration Platform as a Service) | 2023 | n/a | In 2023, Peloton Interactive implemented Airbyte to consolidate a fragmented data ingestion stack and accelerate finance reporting and historical payment ingestion in the United States. Airbyte was selected for its broad connector coverage and its on‑prem deployment option to satisfy data sovereignty requirements. Apps Category: The Airbyte implementation focused on configuring connector-based replication flows for payment history sources and scheduled ingestion pipelines feeding finance reporting datasets. The deployment used Airbyte's connector framework and on‑prem runtime to enable controlled extract and load workflows, and the team configured normalization and orchestration patterns typical of data integration projects. Operational coverage concentrated on finance and payments workloads within the United States, where the project accelerated delivery timelines and delivered cost savings. Governance practices emphasized connector cataloging, environment separation for on‑prem deployments, and standardized ingestion patterns to rationalize the prior ETL footprint while preserving sovereign data controls. | |
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Symend | Banking and Financial Services | 140 | $30M | Canada | Airbyte | Airbyte | iPaaS (Integration Platform as a Service) | 2024 | n/a | In 2024 Symend implemented Airbyte to feed Snowflake for collections and finance analytics, migrating extract and load pipelines from Azure Data Factory. Symend implemented Airbyte as the central data integration engine in the category to reduce pipeline latency and to enable downstream ML and AI workflows. The deployment leveraged Airbyte distributed parallel processing to increase throughput and reliability across connector jobs, with configurations focused on parallelized ingestion and change data capture where applicable. Implementation work emphasized connector orchestration, incremental load strategies, and monitoring of pipeline health to support near real time scoring and analytics. Airbyte was configured to deliver continuous pipelines into Snowflake, which serves as the analytical and serving layer for collections and finance teams, and to feed Databricks for ML scoring and a Snowflake powered chatbot. Operational coverage explicitly targeted collections and finance analytics, enabling business users with self service analytics on Snowflake and supporting Databricks based model scoring. Governance consolidated ingestion ownership and monitoring into a central data engineering function, standardizing ingestion schemas and runbook procedures for Airbyte pipelines. Symend reported reduced pipeline latency and projected annual cost savings of approximately $900k, while Airbyte enabled more reliable ML and AI use cases without altering the downstream Databricks and Snowflake architecture. |
Buyer Intent: Companies Evaluating Airbyte
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