PipeRider Discussions

PipeRider is a light-weight data reliability toolkit using warehouse-native profiling so you can have a full understanding of your data. PipeRider will make your life easier by: * Building a data profile so you can easily understand your data * Creating test suggestions based on the profiling * Comparing data profile reports, so you track changes over time ** Made for the modern data team** For data engineers: ⚡ 2 min install & set-up 😌 Non-intrusive & open-source: install and use locally 💸 Fast & cheap: 100M rows & 8 columns (or 50M & 16 columns) takes only 18s to profile 📒 Cloud DataWarehouse native & auto-config for dbt For data analysts: * Never waste time on analyzing wrong data: collects various metadata metrics such as freshness, uniqueness, distribution... check all metrics * Communicate easily your data expectations by showing the report * Zero-config dbt integration When users leave PipeRider reviews, G2 also collects common questions about the day-to-day use of PipeRider. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.