Airbyte
An open-source data integration platform company that provides ELT data pipeline services, supporting the extraction and loading of data from various sources into target warehouses.
Timeline (last 90 days)
Open-source solutions have already accumulated in the data ingestion field, including schema transformation layers based on dbt, Airbyte's incremental sync, and caching plugins for various API gateways, which can be combined with the LangGraph orchestration layer.
Fivetran and Airbyte are Artie's competitors in the data synchronization space.
In Tricot's demonstration, for a Gong API query of 'query all sales calls by a certain person since February 1', because the API cannot filter calls by user, the Agent traverses all call records for about a month and a half page by page; this path usually takes about three minutes, the returned results often exceed 45 call records, and it consumes nearly 30000 more tokens than the path through context storage.
Tricot's approach is a hybrid model: search and discovery in the sync store, then go to the API to fetch a specific object when the task needs the latest version.
Apache Airflow is used for workflow orchestration, dbt for data transformation, and Fivetran and Airbyte for data integration.
All Facts (5)
Open-source solutions have already accumulated in the data ingestion field, including schema transformation layers based on dbt, Airbyte's incremental sync, and caching plugins for various API gateways, which can be combined with the LangGraph orchestration layer.
50%UnverifiedFivetran and Airbyte are Artie's competitors in the data synchronization space.
50%UnverifiedTricot's approach is a hybrid model: search and discovery in the sync store, then go to the API to fetch a specific object when the task needs the latest version.
50%UnverifiedApache Airflow is used for workflow orchestration, dbt for data transformation, and Fivetran and Airbyte for data integration.
50%UnverifiedIn Tricot's demonstration, for a Gong API query of 'query all sales calls by a certain person since February 1', because the API cannot filter calls by user, the Agent traverses all call records for about a month and a half page by page; this path usually takes about three minutes, the returned results often exceed 45 call records, and it consumes nearly 30000 more tokens than the path through context storage.
50%