Automated Pipeline Creation
Create data pipelines without manual efforts for all your clients. Based on triggers from your database or from your Python functions.
Setup triggers that automatically creates real-time data pipelines for your customers.
In-built data schema check will notify you when a change happens and lets you decide how you want to reprocess the data.
Setup multiple workspaces to manage and monitor the performance of the data pipelines for each of your clients.
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The bottleneck
Data Pipelines are created manually
For each of the clients a data engineer needs to setup manually the data pipelines from scratch causing a slow experience for customers.
Schema Evolutions braking your pipelines
Changes in source schema, such as added fields or altered data types, can break downstream pipelines.
Data is processed in batches
The data is synched every hour or 10 minutes so that customers are missing important to time to react on activities that need quick response.
The solution
Trigger based setup of data pipelines
GlassFlow allows users to define triggers such as new tables in a postgres database that creates automatically new pipelines for each tenant.
In-built data schema checks
GlassFlow in-built data schema check will notify you immediately when a change happens and lets you decide how you want to reprocess the data.
6 Mio events per sec
GlassFlow is built with technology that is highly scalable and can process millions of events within seconds.
