Find the smallest yet smartest subset of your data... How?
ByteSizer distills massive datasets into small but powerful subsets — automatically and intelligently — for faster, higher quality system testing, more robust AI/ML development, safer data access and better decision making across your workflows.
The Current Landscape
Modern data systems are bursting with complexity and often yield big blind spots in the data
Terabytes of structured and unstructured data to cover
Diverse data schemas and scattered edge cases
Heavy pipelines and slow iteration cycles
Testing data driven systems or ML pipelines with randomly sampled or manually curated data can lead to:
Undetected bugs
Random samples miss edge cases.
Slow pipelines
Full datasets take too long to process.
Expensive outages
An hour of downtime can cost from tens to hundreds of thousands across industries like finance, retail, healthcare, telecom.
Unsustainable custom logic
Hard-coded sampling scripts are fragile and hard to maintain.
You either test fast and risk missing bugs — or test comprehensively and slow everything down.
The ByteSizer Solution
ByteSizer helps you extract the most valuable subset of your data — compact, representative and tailored to your needs — in minutes.
Smart
Our proprietary algorithm guarantees even rare edge cases are included.
Efficient
One-pass processing, linear runtime – works on massive datasets.
Flexible
YAML-defined custom worflows, combine different subsetting actions as needed.
Private
Runs on-prem or in your own cloud – no data ever leaves your control.
Easy
Zero-config to integrate; plug-and-play with your stack.
Use Cases
Regression Testing
Make sure you test all existing features with comprehensive test data after a feature update or full migration.
Read Alice's Story →
"Avoid production crashes due to missed critical edge cases."
High Coverage Test Data
Seed test environments or simulation pipelines with a representative dataset without the overhead of maintaining brittle test datasets.
"Focus on debugging logic, not debugging your test data."
Data Exploration
Give analysts and engineers a small, diverse slice of the full dataset to explore schemas, edge cases and trends — instantly and safely.
"Understand your data faster, without loading millions of rows."
Machine Learning & AI
Create high-quality training or validation datasets that reflect real-world distribution — including edge cases — with far less noise or repetition.
"Train smarter models with less compute and more coverage."
Data Access Governance
Share only what's needed. ByteSizer lets you deliver representative subsets to contractors, analysts or off-shore teams — without exposing the full dataset.
"Protect sensitive data while enabling collaboration."
API Testing
Use a small but diverse subset of your API request logs in your inner cycle to drastically reduce costs during development and testing.
“Debug production behavior with minimal resource usage.”
Designed for Developers & Data Teams
Whether you're a:
ByteSizer delivers smarter data without hassle.
How to Use It
Read your data
From database or file ( CSV, JSON, Parquet, Avro, etc. )
Define your workflow
In plain YAML or use defaults.
Subset using smart strategies
Stratified, custom, or comprehensive.
Output in your preferred format
To disk, database, or cloud.