batch Microsoft Dynamics AX to Webhook in minutes
Microsoft Dynamics AX is an enterprise resource planning app from Microsoft. The product is part of the Microsoft Dynamics family and helps with finance and operations for SMB companies.
Webhooks allow you to enhance or alter the behavior of a web page with custom, user-defined HTTP callbacks.
These callbacks can be made by third party developers from other sites or locations. A webhook can relay information from one place on the web to another by sending information electronically between them. Webhooks are commonly used for analytics from various applications.
Estuary integrates with an ecosystem of free, open-source connectors to extract data from Microsoft Dynamics AX with low latency, allowing you to replicate that data to various systems for both analytic and operational purposes. Microsoft Dynamics AX data can be organized into a data lake or loaded into warehouses, databases, or streaming systems. Microsoft Dynamics AX runs on a MySQL database and you can use the MySQL connector to connect to any Microsoft Dynamics family source.
Data can then be directed to Webhooks using materializations that are also open-source, streaming to Webhooks with millisecond latency.
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Estuary helps move data from
Microsoft Dynamics AX to Webhook in minutes with millisecond latency.
Estuary helps move data fromMicrosoft Dynamics AX to Webhook in minutes with millisecond latency.
Estuary enables the first fully managed ELT service that combines both millisecond-latency and point-and-click simplicity. Flow empowers customers to analyze and act on both historical and real-time data across their analytics and operational systems for a truly unified and up-to-date view.
Flow is developed in the open and utilizes open source connectors that are compatible with a community standard. By making connectors interchangeable with other systems, the Estuary team hopes to expand the ecosystem for everyone’s benefit, empowering organizations of all sizes to build frictionless data pipelines, regardless of their existing data stack.