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Compare Hightouch and Treasure Data

Hightouch is a Composable CDP vs Treasure Data which is a traditional CDP. Hightouch is ranked the #1 CDP on G2 for fastest implementation and highest ROI.

Hightouch.
Treasure Data.

The world’s most innovative companies choose Hightouch as their Customer Data and AI Decisioning Platform

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Warner Music Group.
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Hightouch and Treasure Data both are tools that allow you to sync data to downstream marketing destinations like CRM tools, email tools, and advertising platforms. Both platforms have the functionality to collect events via an SDK, resolve identities, and sync data to downstream tools.

However, the devil is in the details. The architecture of each are vastly different. Treasure Data is a “traditional CDP” while Hightouch is a warehouse-centric, “composable CDP”.

Composable CDP Architecture Diagram

Traditional CDP Architecture Diagram

This architectural difference leads to massive differences in cost, implementation time, and usability despite the fact both platforms allow you to do a similar thing at a high-level.

Compare Hightouch and Treasure Data

FunctionalityHightouchTreasure Data
Data Collection
Client-side, server-side, & other 3rd-party sources
Client-side, server-side, & other 3rd-party sources
Data Storage
Your existing data infrastructure (data warehouse, data lake, or database)
Treasure Data's managed infrastructure
Data Retention
Unlimited lookback & history
Variable
Data Schema
Controlled by you (supports any custom entity or object)
More flexible than most traditional CDPs, more difficult to set up than Composable CDPs
Audience Management
No-code audience builder (supports any online or offline data stored in your data warehouse)
Limited audience-building capabilities for non-technical users
Journey Orchestration
Yes
Yes
Identity Resolution
No-code tool to define exact or fuzzy-match rules to build owned identity graphs within your data warehouse
Deterministic IDR managed in Treasure Data's infrastructure
Identity Graph Storage Location
Lives in your warehouse
Owned by Treasure Data
Reverse ETL
Core sync engine that integrates with existing toolsets & workflows
NA
Real-Time Audience Computation
Dependent upon data landing in the warehouse
Yes (limited to clickstream/behavioral data with no time-based lookbacks)
Real-Time Streaming (Event Forwarding)
Yes
Yes
Low-Latency Profile API
Yes
Yes
Streaming Reverse ETL
Yes
No
Data Activation Flow
Warehouse to destination (no data is stored in Hightouch)
Treasure Data to destination
Activation Destinations
250+
170+
Source of Truth
Single: Your owned data warehouse
Multiple: Treasure Data & your owned data warehouse
Security & Compliance
Data lives in your infrastructure (can be configured to be GDPR, CCPA, & HIPAA compliant)
Data lives outside of your cloud infrastructure (can be configured to be GDPR, CCPA, & HIPAA compliant)
Pricing
Unbundled: individually priced features with no MTU billing
Bundled pricing: dependent on monthly tracked users (MTUs) & feature add-ons
Proof of Concept (POC)
Less than 1 month
4-6+ months

Pros and Cons of Hightouch

Pros

  • Most powerful point & click audience builder (supports any offline & online customer data)

  • Warehouse-native campaign analytics to experiment, measure & analyze audiences

  • Publicly available customer support metrics (99% CSAT Score)

Cons

  • Newer vendor in the CDP market

  • Must have actionable data available in a data platform

Pros and Cons of Treasure Data

Pros

  • Strong support for Japanese-specific brands/companies

  • Data engineering & analytics functionality

  • AI/ML capabilities

Cons

  • Not marketer-friendly (built for data teams)

  • Architecture is built on legacy technology (Presto & Hive)

  • Requires substantial data engineering resources to implement & maintain

  • Identity graph is owned Treasure Data

  • Data is stored outside of your cloud infrastructure

Should I Buy Hightouch or Treasure Data?

When deciding whether to invest in a Hightouch (a Composable CDP) or Treasure Data (a Traditional CDP), it's important to consider the unique needs of your business. Although a packaged Traditional CDP might appear simpler, Composable CDPs are more flexible and scalable.

The main areas Hightouch wins against Treasure Data are:

  1. Implementation Time: With Hightouch you are live at the time of contract signature. With Treasure Data, there is typically a 6-12 month implementation process after contract signature
  2. Flexibility: With Hightouch, you can use any data in your data warehouse vs Treasure Data where you can only use data that has been collected into your CDP
  3. Source of Truth: With Hightouch, your retain a single source of truth in your cloud data warehouse.

While Treasure Data can be a decent option for companies looking to implement a more legacy solution, most data-focused companies are now adopting Composable CDPs, such as Hightouch, because they offer greater flexibility, security, time-to-value, and interoperability at a far lower cost. If you’re interested in learning more about the Composable CDP, book a demo with one of our solution architects today to see how we can help.

200%boost in
engagement


PetSmart logo.

1 daymigration


Minno logo.

52%increase
in ROAS


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Start syncing data in minutes

Check out this 5 minute interactive demo to learn how you can sync customer data to any business tool.

Hightouch Audiences user interface.

We don’t store your data

Hightouch is more secure because no duplicate storage is required. Instead, we simply read from your data warehouse, where your data stays safe and sound.

ISO 27001 Certification.

Connect to 250+ tools

Send any data to any tool. Skip building and maintaining pipelines, uploading CSVs, and having data silos across marketing, sales, customer success, finance, and analytics.

PostHog
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NetSuite (REST)
Planhat
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Monday
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WhatsApp
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Google Display & Video 360
Bloomreach
Brevo
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Workday Adaptive Planning
Google Sheets - Service Account (Recommended)
Salesloft
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Campaigner
Notion
Braze Cohorts
Adobe Experience Platform
Userflow
Vizio Ads
Branch.io
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Microsoft OneDrive
SMTP Email
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Split
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Insider InOne
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Batch
Google Cloud Pub/Sub
X Ads (formerly Twitter Ads)
Pendo
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Oracle DB
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Salesforce Pardot (Sandbox)
HubSpot
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VWO Attribute Lists
MinIO
Hightouch Personalization API
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Reddit Ads
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Google Campaign Manager 360
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PAR Retail Stuzo Open Commerce
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Amazon Ads DSP and AMC
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ClickUp
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ChartMogul
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Emarsys
Front
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Digital Turbine
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Anaplan
PartnerStack
Beeswax
LinkedIn Ads
FullStory
SAP IBP
OpenSearch
User Interviews
Dynata
Microsoft Excel
Microsoft Dynamics 365
Chargebee
Drift
ClientSuccess
Eloqua
Amazon Kinesis
Marigold Engage+
LINE Ads
Iterable
Braze
Vero Cloud
Firestore
Vistar Media
Intercom
mParticle
Google Search Ads 360
Adjust
Airship
QuickBooks
Singular
Snowflake
PostHog
Facebook Custom Audiences
PostgreSQL
Slack
Redis
Awin
Upland Waterfall
Samsung Ads
Rokt
Microsoft Sharepoint
Adobe Campaign Classic
Oracle DB
Totango
Google Ad Manager 360
Jira
MariaDB
iSpot.tv
Zoomd