Use Case — Supply-Side Platforms

Stop paying a compute tax on your own data

MinusOneDB delivers 1000x better query price-performance for SSPs. Eliminate the infrastructure bottleneck that's capping your yield and eroding your margins.

1000x
Better query price-performance vs. cloud warehouses
<10ms
Petabyte-scale queries via distributed search
~1s
Streaming ingest to index-visible, no batch lag
80-95%
Lower total cost vs. pay-per-query warehouses
The Challenge

Maximizing yield in a
dynamic landscape

SSPs face intensifying pressures across identity, infrastructure costs, and partner complexity.

01

Query-tax cost explosion

Per-query billing means every QPS spike hits P&L. At $10/TB/query, a single exploratory run on a petabyte costs $10,000. Innovation is taxed by design.

02

Identity fragmentation

Cookie deprecation and device ID restrictions threaten core matching. Nightly batch resolution can't keep up with real-time audience accuracy needs.

03

Multi-system ETL sprawl

Kafka, ClickHouse, S3, Snowflake, Redis. Each hop adds seconds of lag and DevOps headcount. New targeting dimensions mean months of schema work.

04

Publisher transparency gap

Sellers want dashboards that update as auctions settle. Metered warehouses make second-by-second glass-box reporting financially impossible.

05

Cross-channel convergence

CTV, retail media, DOOH require unified identity, schema, and frequency management. Separate systems make holistic yield optimization impossible.

06

Yield leakage from static floors

Rule-of-thumb floors clear inventory too cheaply or leave impressions unsold. Dynamic pricing requires live signal processing the cluster can't handle.

The Solution

A foundation layer,
not another point solution

Warehouse, lake, stream processor, feature store, and queue — collapsed into one rebuilt distributed-search datastore.

Pain Point
Why It Hurts Today
How m1db Solves It
Query-tax costs
Per-query billing turns every QPS spike into P&L pain; a single mis-tuned query can be a five-figure surprise.
Capacity-based pricing and near-flat-time queries at any size.
ETL sprawl
Kafka to ClickHouse, S3 to Snowflake, Redis for sessions — each hop adds lag and headcount.
Four built-in stores (search, session, lake, archive) behind one API.
Stale identity graphs
Nightly batch resolution drops split/merged cookies; audience accuracy decays.
Real-time identity resolution with live identity objects and lineage.
Clean-room throttling
Cross-domain queries are metered; teams ration the analyses that uncover value.
Federated compute-to-data clean-room — no runaway bills.
Slow feature velocity
New targeting dimensions trigger months of schema work and re-indexing.
REST/JSON APIs — prototype directly on production data.
Publisher transparency
Metered warehouses make real-time reporting cost-prohibitive.
No per-query fees — second-by-second glass-box consoles.
Technical Foundation

ModelForge &
IdentityForge

Purpose-built implementations adapted to your architecture that unlock capabilities impossible on traditional infrastructure.

ModelForge

Hyperscale AutoML & Continuous Scoring

  • Score, compare, and evolve thousands of model variants nightly
  • Test new signals across your entire feature store without pre-planning
  • Update scores as new data arrives — no overnight batch windows
  • Deploy new models in minutes, not weeks of infrastructure work
  • Full version history, variant performance, and governance audit trails
IdentityForge

Real-Time Identity Resolution at Scale

  • Process billions of identity signals in real-time
  • Cross-device linking in milliseconds across browsers, apps, devices
  • Integrate UID 2.0, RampID, and alternative identifiers
  • Privacy-safe probabilistic modeling for reach
  • Consent enforcement and compliance across all operations
Impact

Benefits across your organization

Revenue

  • Superior yield through algorithmic optimization
  • Unique publisher value proposition
  • Higher-value inventory packaging
  • Data-driven demand partner insights

Product

  • Faster feature delivery via simplified architecture
  • Comprehensive analytics without sampling
  • Enhanced publisher tools with real-time data
  • Future-proof identity strategy

Engineering

  • Reduced infrastructure complexity
  • Predictable scalability with capacity pricing
  • Lower operational overhead
  • No specialized optimization needed

Publisher Relations

  • Better retention via demonstrably higher yield
  • Real-time reporting capabilities
  • Compelling competitive differentiation
  • Higher-value data collaboration