Data Clean Room Vendors: A Landscape of Names Worth Evaluating
The data clean room field is larger than any short list, but a handful of visible names give a buyer a workable starting set: LiveRamp, Decentriq, Optable, Narrative I/O, Snowflake, InfoSum and AWS Clean Rooms. They come from different starting points, including identity providers, privacy-technology specialists, cloud data platforms and data marketplaces, and that starting point shapes how each fits into an existing stack. This list is non-exhaustive and not ordered.
Which data clean room vendors are worth evaluating?
Each name below is described by what it does, in the same terms, so the list reads as a set of options and not a ranking.
- LiveRamp is an identity and data connectivity company whose offering includes clean room capabilities for collaborating on first-party data across brands, publishers and platforms.
- Decentriq is a Swiss data collaboration company that builds clean rooms on confidential computing, so participants can analyze combined data without exposing the underlying records.
- Optable is a data collaboration platform used by publishers and advertisers, combining clean room workflows with audience activation.
- Narrative I/O is a data collaboration platform that also supports buying and selling data between parties.
- Snowflake offers data clean room functionality inside its cloud data platform, which suits teams whose first-party data already lives there.
- InfoSum is a data collaboration platform built around keeping each party's data in place rather than moving it to a shared location.
- AWS Clean Rooms is an Amazon Web Services offering that lets parties collaborate on datasets without sharing the raw data.
How do the starting points differ?
Cloud-native options such as Snowflake and AWS Clean Rooms sit close to where many companies already store data, so the integration question is mostly about permissions and query design. Specialist clean room vendors such as Decentriq and InfoSum put the privacy model at the center of the product and tend to be evaluated on how participants are onboarded and what analysis is allowed. Identity-led and activation-led vendors such as LiveRamp and Optable are usually evaluated on how collaboration connects to matching and to the channels where audiences are used. Narrative I/O is often considered when the goal includes sourcing or monetizing data as well as collaborating on it.
These starting points suit different buyer situations.
How do you narrow the list?
Start with where the data lives and who the counterparties are. A brand collaborating with one retail partner has a different shortlist than a publisher collaborating with dozens of advertisers. Then fix the use case: measurement, audience building, planning or data enrichment each stress different features. Finally, check the practical edges, which are the match rate method, the privacy controls that can be configured, the analysis types allowed, and the cost model for each additional partner.
For the decision framework behind these questions, see the clean room evaluation guide linked below.
CartographAI is a free tool brands and agencies use to research data clean rooms, with independent assessments across the field.
FAQ
What is the difference between a data clean room vendor and a cloud data platform with clean room features?
A specialist vendor builds the clean room as its core product, with onboarding and privacy controls designed for multi-party collaboration. A cloud data platform adds clean room features to infrastructure you may already use. The right fit depends on whether your counterparties are on the same platform and how much setup you want to own.
Do I need an identity provider to use a data clean room?
Not always. Collaboration needs some way to match records across parties, which can be done with hashed emails, platform identifiers or a third-party identity service. Some clean rooms include matching, and others expect you to bring it.
How many clean room vendors should we shortlist?
Three to five is a common working range. Include at least one option that fits the cloud platform where your data already sits and one that your key partners already use, since a clean room only helps if the other party can join.
Can a small brand use a data clean room?
Yes, though the economics change. Setup effort, minimum commitments and the number of partners willing to collaborate all affect whether the investment makes sense. Smaller brands often start by using a clean room offered by a retailer or publisher they already work with.
Is this list a ranking?
No. The names are listed without order, and the field includes more vendors than shown here. The aim is to give buyers a starting set to research against their own use case.
Last reviewed: October 3, 2026.