Airbyte: Use-Cases, Insights and Reviews | 2025 Cuspera

CodeSandbox used Airbyte to improve its data integration processes. The team needed a fast and flexible way to add new data sources and support rapid growth. Their old ETL tools, Meltano and Stitch, ...were slow and hard to use. With Airbyte, CodeSandbox quickly integrated new data sources like Stripe. Airbyte's easy interface and strong APIs made setup simple and efficient. This helped CodeSandbox move faster and support more users.
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Airbyte helped Faros AI improve their engineering operations data integration. Faros Community Edition needed to connect data from many sources for better insights. They chose Airbyte for its open-so...urce community, standard specification, and large connector catalog. Faros AI built custom connectors and contributed back to the Airbyte community. With Airbyte, Faros CE users can ingest data in minutes and focus on valuable analytics.
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Airbyte helped Anecdote speed up their platform launch by providing reliable, ready-to-use data pipelines. Anecdote saved 1-2 months of engineering time and 25% of data engineering effort by using Ai...rbyte’s open-source connectors. This allowed the team to focus on building their AI engine and securing funding. Airbyte’s stability and easy custom pipeline building gave Anecdote peace of mind. Anecdote now uses Airbyte to connect nine data sources and deliver fast integrations for their clients.
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Jeenie used Airbyte to simplify their data analytics and service integration. They faced challenges with expensive and complex ETL tools like Stitch and Singer, which made data consolidation hard and... compliance risky. Airbyte allowed Jeenie to connect any data source to BigQuery easily. This helped Jeenie streamline their data pipeline, reduce costs, and improve compliance. The team now gets business insights faster and with less effort.
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Airbyte helped SoleSavy track growth metrics for their sneaker community. SoleSavy struggled to measure growth across 10+ Slack communities due to data silos and large data volumes. Their old ELK sta...ck could not handle the scale or provide fast analytics. Airbyte enabled automatic data extraction from multiple sources into a single Postgres database. This made it easy for SoleSavy to analyze growth and churn metrics as their community expanded.
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Airbyte helped Chance streamline data movement from multiple CRM platforms into a central data warehouse. Chance faced problems with their old tools, like Stitch and Singer, which had poor integratio...n quality, limited data destinations, and unreliable synchronization. With Airbyte, Chance improved productivity and became more data-driven. The solution allowed them to manage data from Pipedrive, Typeform, Calendly, and more, supporting their digital coaching program. This made their business operations more efficient and scalable.
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