Prepare Data: Fast, Simple, & Visual
Sparkflows brings together 100+ processors to validate, transform, and prepare clean, trusted data for every analytics need.
Its built-in pushdown architecture processes data where it already lives — delivering faster performance, stronger governance, and seamless scale.
Clean & Standardize Data
Make your data correct and consistent.
Remove duplicates, fix errors, fill missing values, and standardize formats so your data is ready for analysis.
Transform & Enrich Data
Create new columns, change data types, apply simple formulas, and reshape your dataset — all with drag-and-drop steps.
Blend Data from Anywhere
Combine data from files, databases, cloud storage, or streams.
Join, merge, or union datasets to get a single, complete view of your information.
Filter, Group & Aggregate
Quickly slice and summarize your data.
Filter rows, group records, and calculate totals or metrics to prepare datasets for reports and dashboards.
Work With Text, Dates & Complex Fields
Easily handle tricky fields.
Split text, extract dates, parse JSON, and work with semi-structured data without writing code.
Use Code Only When You Want To
Stay visual or add code when needed.
For advanced cases, you can use Python, SQL, or PySpark — while still building workflows visually.