PyReverseETL - Syncs data from source systems to destinations
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Move mart layer data from data warehouses to downstream systems. Reverse ETL for intelligent sync. - pip install pyreverseetl
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Simple as 1-2-3
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Describe - Create a simple text file describing what you want to sync
Configure - Set when, how often, and any special rules (skip weekends, business hours, etc.)
Run - Start it up. Data syncs automatically on schedule.
That's it. No complex setup. No manual work.
What Problems Does It Solve?
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ā Data goes stale in your systems - PyReverseETL keeps it current
ā Manual data syncs are error-prone - PyReverseETL does it automatically
ā Multiple systems can't talk to each other - PyReverseETL connects them
ā Syncing on a schedule is complicated - PyReverseETL handles it simply
Core Capabilities
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Event Streams ā Real-time data from event streaming platforms
Database Change Capture ā Real-time changes from databases (PostgreSQL, MySQL, MongoDB)
API Polling ā REST endpoint polling and webhook receivers
Scheduled Polling ā Configurable intervals (5min to 24hours)
Change Detection ā Automatic detection of data changes
Source Metadata ā Preserve source context and lineage
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finally a reverse ETL tool that installs with a single pip command and actually works as advertised. synced a mart table to a webhook in like five minutes, pretty clean experience.
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pip installed it yesterday and had our mart data syncing down to Postgres in like 20 minutes. The schema mapping felt surprisingly intuitive for a reverse ETL tool.
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finally a reverse ETL tool that installs with a single pip command and actually works as advertised. synced a mart table to a webhook in like five minutes, pretty clean experience.
pip installed it yesterday and had our mart data syncing down to Postgres in like 20 minutes. The schema mapping felt surprisingly intuitive for a reverse ETL tool.