Solutions / Cost Control
Stop paying premium prices for data that doesn't need premium treatment.
Control volume and processing before premium platforms meter the ingest. Send high-value data to premium systems and keep full fidelity where the economics make sense.
The problem
The bill usually starts upstream.
Premium platforms price by volume. When every byte — noisy, duplicate, low-value — takes the same path as the data that actually matters, the bill reflects that, not the value of what you're storing.
Premium ingest exposure
everything generated takes the same path into the systems that meter by volume.
Downstream processing
expensive platforms do parsing and normalization work that could happen upstream, once.
Retention economics
hot, indexed storage and cold archive don't cost the same — but most data sits in the expensive tier anyway.
Migration cost
changing platforms later means re-instrumenting collection, not just switching a destination.
Economics
Let the value of the data decide where it goes.
Filter, deduplicate, transform and route before downstream platforms meter the volume.
Illustrative example
Before LyftData
Generated volume
- Everything → premium path— metered at premium rates, regardless of value
With LyftData
Same volume, routed
- Premium / high-value— the slice worth premium pricing
- Other operational destination— shaped, deduplicated telemetry
- Full fidelity / archive— everything, in a low-cost store
An illustrative example. Without a control layer, all generated volume follows the same premium path. With LyftData in front, the same volume is split by value: a thin premium slice goes to the high-value destination, a shaped and deduplicated subset goes to another operational destination, and full fidelity is kept in a low-cost archive.
Retention
Full fidelity doesn't have to mean full price.
Hot, indexed storage and a full-fidelity archive don't cost the same — keep everything, just not all of it in the expensive tier.
Migration
Deciding where data goes shouldn't require rebuilding how it's collected.
Collection, transformation and routing stay fixed upstream — changing a destination, or adding one, doesn't mean re-instrumenting every source.
The problem isn't necessarily the tool. It's that every byte is being treated the same.
Why LyftData
Independent
the destination doesn't own your data architecture — changing what's premium and what isn't doesn't mean rebuilding collection.
Governed
filtering, deduplication and routing rules are applied once, upstream, not re-implemented per destination.
Reusable
the same pipeline keeps working as volumes grow and destinations change — you tune where data goes, not how it's collected.
Stop paying premium prices for every byte.
Talk through your data volumes with the team, or start on your own infrastructure.