P + C + T Complexity Model
How DataSurface transforms exponential pipeline complexity into linear, manageable connections
❌ Traditional Approach
Point-to-point pipeline chaos
Every producer builds custom pipelines to every consumer. Different teams use different technologies, formats, and schedules. Over time, this becomes unmaintainable "pipeline spaghetti."
✓ DataSurface Approach
Centralized data logistics
Producers connect to DataSurface once. Consumers connect to DataSurface once. The platform handles all the logistics—routing, transformation, governance, and delivery.
📊 Real-World Example
🚀 An Enabler, Not a Replacement
DataSurface makes building solutions on Snowflake, Databricks, and other platforms easier and faster—while keeping your options open.
Faster Onboarding
New data sources connect to DataSurface once, instantly available to all your platforms—Snowflake, Databricks, or any other.
Best of Breed
Use multiple platforms concurrently. Snowflake for analytics, Databricks for ML, Postgres for operations—all from the same data.
Commercial Flexibility
Swap platforms over time as it makes business sense. Renegotiate contracts from a position of strength.
The data landscape evolves. HDFS gave way to S3 + Spark. Impala came and went. Then came the cloud data warehouses. The next shift is always around the corner.
With DataSurface, adopting new technology is just adding another consumer—not a multi-year migration.
What About Transformers (T)?
DataTransformers are a special type of consumer that also produces data. They consume raw data from DataSurface, add value through transformation, and publish derived datasets back into the platform.
(in DataSurface)
(Consumer + Producer)
(back to DataSurface)
🔄 Dual Role
Transformers consume existing data and produce new, value-added datasets—all through the same DataSurface connection.
📐 Still Linear
Adding transformers doesn't create exponential complexity. Each transformer is just another participant in the P + C + T model.
🏛️ Governed
Derived data inherits governance policies from source data. Full lineage tracking shows exactly how data was transformed.
Ready to Simplify Your Data Architecture?
Stop building pipeline spaghetti. Let DataSurface handle the logistics.