15 Customer Data Platform (CDP) Examples by Industry and Deployment Model

Customer data platform (CDP) examples fall into four groups by deployment model: packaged SaaS (Salesforce Data 360, Adobe Real-Time CDP, Twilio Segment, Tealium, Treasure AI, Amperity, BlueConic, mParticle by Rokt), composable (Hightouch, Fivetran Activations), private or self-hosted (Meiro, PrivyCDP) and open source or source-available (Apache Unomi, RudderStack, Snowplow). This neutral list gives each one's pricing basis and data residency notes.

Who this is for: teams building a shortlist. New to the category? Read what a customer data platform is first. More explainers are in the Learn hub.

How we chose these customer data platform examples

• Coverage, not rank. The 15 span four deployment models. Order within a group is not a ranking, and this is not a market-share list. Oracle and Uniphore, two of the 2026 Gartner Leaders, are not included 1.
• Inclusion test. The product offers core CDP functions (collection, identity and profiles, audience activation) or a core component, and had a public page we could open in October 2026. Fivetran Activations and Snowplow are components of a composable stack, not complete CDPs.
• Pricing. Stated only where an official page we opened shows it. Otherwise: quote-based.
• Disclosure. PrivyCDP is published by the owner of this site. Facts about it come from its own pages and are listed with the same fields as the others.
• Currency. Plans and prices change; check each vendor before purchase. The CDP Institute tracks 217 vendors 2, so any 15 is a sample.

Customer data platform examples at a glance

Packaged SaaS customer data platform examples

1. Salesforce Data 360 (formerly Data Cloud)

Salesforce says it unifies data from sales, service, marketing and web into one profile, resolves identities across devices and channels, and connects to Snowflake and Databricks without copying data 3. Gartner named Salesforce a Leader in 2026 1.

2. Adobe Real-Time CDP

Sold in three editions, B2C, B2B and B2P, with price driven by profile volume 6. Gartner placed Adobe in the Visionary quadrant in 2026 1. A Healthcare Shield add-on is meant to make Adobe Experience Platform applications HIPAA ready 7.

3. Twilio Segment

Collects first-party events from every touchpoint and routes them to a warehouse or 550+ destinations; audiences and journeys sit in Engage 9. Gartner listed Twilio as a Niche Player 1.

Pricing: Free to 1,000 MTUs; Team from $120/month with 10,000 MTUs, then $12, $11 or $10 per additional 1,000 by band; Business custom 10. The page's FAQ states a flat $10 overage, so confirm before budgeting. Typical buyer: product and engineering-led digital teams. Residency: default is U.S.; EU processing needs a separate EU workspace, with archives in Dublin 11. BAAs are available on the Business tier 12.

4. Tealium

Gartner lists Tealium as a Challenger 1. Its Private Cloud can be deployed as single-tenant or multi-tenant and is described as a dedicated environment 13.

Pricing: quote-based. Typical buyer: enterprises wanting a dedicated, vendor-run environment. Residency and compliance: data is regionally designated; Tealium cites SOC 2 Type II, ISO 27001 and HIPAA HITECH audits and says it signs a BAA with Private Cloud customers. The page does not name regions or say who operates the environment 13.

5. Treasure AI (formerly Treasure Data)

Treasure Data became Treasure AI on 20 April 2026, positioning an agentic experience platform on top of its CDP; Gartner's 2026 quadrant lists it as Treasure Data, a Challenger 141.

6. Amperity

Describes itself as an AI-powered customer context platform and cites retail, hospitality and airline customers 15. Gartner lists it as a Niche Player 1.

Pricing: quote-based. Typical buyer: enterprise B2C brands. Residency: since April 2026 available in AWS Sydney and Melbourne, aimed at airlines, banking, insurance and telecom needing in-country data 16.

7. BlueConic

A B2C-focused platform that Gartner lists as a Niche Player 117.

Pricing: not published; contact sales 17. Typical buyer: B2C brands. Residency and consent: customers choose an AWS region (Dublin, Virginia, Singapore and Sydney are examples), and opt-in or opt-out consent zones can be set by jurisdiction 18.

8. mParticle by Rokt

Rokt announced a $300 million investment in mParticle in January 2025 19; Gartner dropped mParticle from the 2026 quadrant 1.

Composable customer data platform examples

9. Hightouch

A 2026 Gartner Leader and a new entrant that year 1. Hightouch defines a composable CDP as an activation and audience layer over your existing stack that does not store your data 22; CX Today's write-up of the Gartner quadrant notes data engineering stays the customer's job 1.

10. Fivetran Activations (formerly Census)

Census joined Fivetran in 2025 and its reverse ETL capabilities are being integrated into Fivetran; an activation is a set of syncs from one source to one destination 25. It moves data out of the warehouse; you supply collection, identity and consent.

Pricing: usage-based on monthly active rows; the free plan includes 3,500 activation rows 26. Typical buyer: teams already on Fivetran. Residency: data stays in your warehouse; higher plans list hybrid deployment 26.

Private and self-hosted customer data platform examples

11. Meiro

Offers on-premise, self-hosting in your own cloud account, or a managed service, with bring-your-own-cloud on AWS, Azure, Google Cloud, Oracle and Hetzner 27.

Pricing: annual tiers, licensed on an allowance rather than metered, unlimited seats, quote on request 28. Typical buyer: enterprises wanting private deployment with an optional managed service. Residency: Meiro claims zero data egress under private deployment and offers regional options for its managed service 27.

12. PrivyCDP

PrivyCDP is single-tenant software that runs on-premise, in a VPC in the customer's AWS, Azure, GCP or OCI account, in a hybrid layout, or in a sovereign or air-gapped environment (offered by restricted access) 29. It includes a hash-chained audit ledger, consent ingest and an MCP-ready AI layer 30.

Pricing: annual or perpetual license with an optional update entitlement; no profile or per-event metering; infrastructure and DevOps scoped separately 3132. Typical buyer: regulated and high-load teams. Residency and compliance: the customer controls the boundary; pages list SOC 2, ISO 27001, GDPR, HIPAA, PCI-DSS and FedRAMP as frameworks to evaluate and say deployment evidence is required 30.

Open source and source-available customer data platform examples

13. Apache Unomi

A Java open source CDP server for customer, lead and visitor data, with persistent profiles, segmentation, scoring and privacy features; Apache 2.0 license; version 3.0.1 is listed 33.

Pricing: no license fee; infrastructure and staff are yours. Typical buyer: engineering-led teams building their own stack. Residency: runs wherever you deploy it.

14. RudderStack

Self-hostable server under the Elastic License 2.0, which is source-available rather than OSI open source; it depends on PostgreSQL and runs on Docker or Kubernetes 34.

Pricing: Free at 250K events/month; Growth $265/month for 1M to 25M events; Enterprise custom, listing HIPAA, SSO and VPC deployment 35. Typical buyer: engineering teams with warehouse-centric pipelines. Residency: self-hosting runs in your cloud or on-premise 34.

15. Snowplow

A behavioral event pipeline, closer to the collection layer of a composable stack than a full CDP. Its core pipeline moved to the Snowplow Limited Use License on 8 January 2024 36. Development and QA use is allowed; production use needs a commercial license, and building a competing offering is prohibited 37.

Pricing: rates depend on monthly event volume, hosting preferences, consumption or destinations; paid tiers are quote-based 38. Typical buyer: data teams wanting granular behavioral data. Residency: the Self-Hosted Pipeline runs where you run it 38.

Customer data platform examples by industry

How to shortlist a customer data platform

• Write down where customer data may live legally and contractually: country, cloud, operator.
• Choose the deployment models that satisfy that rule. See composable vs packaged vs private.
• Identify the pricing unit and model your peak, including anonymous traffic (CDP pricing explained).
• Ask for the exit path: full export of profiles, identity graph and consent history.
• Test that an opt-out reaches every destination and survives an identity merge.
• Confirm the audit trail shows who changed a segment and which data it used.
• For PHI, get BAA terms and scope in writing (BAA checklist and HIPAA guide).
• Check certifications against evidence, not marketing pages.
• Run a proof of concept with synthetic data.
• For open source, read the license first (open-source CDPs compared).

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Ready to compare candidates side by side? Use the customer data platform RFP template to score your shortlist, and see how deployment options differ on the PrivyCDP deployment page. Return to the Learn hub for related explainers.