Best Data Clean Room Software for Medium-Sized Businesses

Brandon Summers-Miller
BS
Researched and written by Brandon Summers-Miller

Products classified in the overall Data Clean Room category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Data Clean Room to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Data Clean Room category.

In addition to qualifying for inclusion in the Data Clean Room Software category, to qualify for inclusion in the Medium-Sized Business Data Clean Room Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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Google Cloud BigQuery
(1,224)4.5 out of 5
Entry Level Price:Free
View top Consulting Services for Google Cloud BigQuery
OverviewPros and Cons
Product Description

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users: Data Engineer, Data Analyst · Industries: Information Technology and Services, Computer Software · Market Segment: 37% Enterprise, 35% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Speed, Fast Querying, Integrations, Query Efficiency
ConsExpensive, Query Issues, Cost Issues, Cost Management, Learning Curve
User SatisfactionSeller Details
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.5
Ease of Admin
Average: 8.7
9.1
Centralized Computation
Average: 8.9
8.5
Localized computation
Average: 8.4
8.7
Ease of Use
Average: 8.8
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,798,732 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
Snowflake
(695)4.6 out of 5
Entry Level Price:$2 Compute/Hour
2nd Easiest To Use in Data Clean Room software
View top Consulting Services for Snowflake
OverviewPros and Cons
Product Description

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users: Data Engineer, Data Analyst · Industries: Information Technology and Services, Computer Software · Market Segment: 44% Enterprise, 43% Mid-Market
Pros and ConsUser Satisfaction
ProsEase of Use, Scalability, Data Management, Features, Integrations
ConsExpensive, Cost, Cost Management, Learning Curve, Feature Limitations
User SatisfactionSeller Details
Snowflake features and usability ratings that predict user satisfaction
8.7
Ease of Admin
Average: 8.7
9.3
Centralized Computation
Average: 8.9
9.0
Localized computation
Average: 8.4
9.0
Ease of Use
Average: 8.8
Seller Details
Seller
Snowflake, Inc.
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
228 Twitter followers
LinkedIn® Page
www.linkedin.com
10,857 employees on LinkedIn®
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Amazon Marketing Cloud
(74)4.4 out of 5
4th Easiest To Use in Data Clean Room software
View top Consulting Services for Amazon Marketing Cloud
OverviewUser Satisfaction
Product Description

Amazon Marketing Cloud (AMC) is a secure, privacy-safe, and cloud-based clean room solution, in which advertisers can easily perform analytics across pseudonymized signals, including Amazon Ads signal

Industries: Information Technology and Services, Computer Software · Market Segment: 43% Mid-Market, 42% Small-Business
User SatisfactionSeller Details
Amazon Marketing Cloud features and usability ratings that predict user satisfaction
8.7
Ease of Admin
Average: 8.7
8.5
Centralized Computation
Average: 8.9
8.4
Localized computation
Average: 8.4
8.6
Ease of Use
Average: 8.8
Seller Details
Seller
Amazon
Year Founded
1994
HQ Location
Seattle, WA
Twitter
@amazon
5,910,619 Twitter followers
LinkedIn® Page
www.linkedin.com
754,926 employees on LinkedIn®
Ownership
AMZN
Crossbeam
(339)4.8 out of 5
Entry Level Price:Free
3rd Easiest To Use in Data Clean Room software
OverviewPros and Cons
Product Description

Crossbeam is the Ecosystem Revenue Platform that empowers go-to-market teams to securely share and access unique ecosystem insights from your partners' CRMs to uncover new opportunities, target the ri

Users: Partnerships Manager, Partner Manager · Industries: Computer Software, Information Technology and Services · Market Segment: 63% Mid-Market, 19% Enterprise
User Sentiment

Reviewers frequently mention the ease of use, seamless integration with CRM systems, and the ability to identify overlapping customers and prospects, which aids in prioritizing co-marketing efforts and strategic planning. Users mentioned challenges in onboarding non-technical partners, limitations in the types of fields that can be added, and difficulties in navigating complex data permission settings without dedicated support or training.

Pros and ConsUser Satisfaction
ProsEase of Use, Data Sharing, Integrations, Account Mapping, Partnerships
ConsDifficult Navigation, Learning Curve, Limited Features, UX Improvement, Data Accessibility
User SatisfactionSeller Details
Crossbeam features and usability ratings that predict user satisfaction
9.1
Ease of Admin
Average: 8.7
9.2
Centralized Computation
Average: 8.9
8.3
Localized computation
Average: 8.4
9.0
Ease of Use
Average: 8.8
Seller Details
Seller
Crossbeam
Year Founded
2018
HQ Location
Philadelphia, Pennsylvania
Twitter
@Crossbeam
1,355 Twitter followers
LinkedIn® Page
www.linkedin.com
191 employees on LinkedIn®
AppsFlyer
(690)4.5 out of 5
1st Easiest To Use in Data Clean Room software
View top Consulting Services for AppsFlyer
OverviewPros and Cons
Product Description

AppsFlyer is the Modern Marketing Cloud that helps businesses transform complex data into clarity and growth. A foundation for unified, measurable, autonomous marketing, AppsFlyer breaks down silos ac

Users: Product Manager, Marketing Manager · Industries: Marketing and Advertising, Financial Services · Market Segment: 44% Mid-Market, 30% Enterprise
Pros and ConsUser Satisfaction
ProsAnalytics, Features, Ease of Use, Insights, Attribution
ConsExpensive, Data Inaccuracy, Pricing Issues, Data Management Issues, Dashboard Issues
User SatisfactionSeller Details
AppsFlyer features and usability ratings that predict user satisfaction
8.4
Ease of Admin
Average: 8.7
8.8
Centralized Computation
Average: 8.9
9.0
Localized computation
Average: 8.4
8.4
Ease of Use
Average: 8.8
Seller Details
Seller
AppsFlyer
Company Website
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@AppsFlyer
12,640 Twitter followers
LinkedIn® Page
www.linkedin.com
1,510 employees on LinkedIn®
Google Ads Data Hub
(45)4.4 out of 5
5th Easiest To Use in Data Clean Room software
View top Consulting Services for Google Ads Data Hub
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