Real-Time Data Movement
Send your data anywhere in real-time. Every event will be synched in milliseconds across your systems.
There is no batch at GlassFlow. Get event-based synch within milliseconds
Because every event will be processed the moment ingested there is no workflow setup needed.
Besides moving the data in real-time data teams you can transform events on the fly.
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The bottleneck
Data synchs are in batches
The majority of data movement platforms are focused on synchs that run every few mins and in batches. This way the data is missed for time critical use cases.
Missing data in your systems
Companies are often facing challenges with data that is not loaded into the consumption systems. Often driven by changes in the data schema, network failures, etc.
Data is in the wrong format to be consumed
The majority of data movement platforms focus on getting the data from source to sink but often data needs to be manipulated before consuming.
The solution
Data in synched in real-time
GlassFlow focuses completely on moving your data per event and in real-time. Every new event at the source will be synched within milliseconds to your selected data sinks.
Reprocess data even 30 days later
The in-built dead letter queue allows you get notified immediately when an error happens and let your reprocess events even at a later point making sure your data is complete.
Build advanced transformations in Python
GlassFlows transformation engine allows users to create Python functions, connect them with external APIs, include multisteps and run them in a serverless matter making sure the events reach the sinks in the needed format.
