Head-to-head · Data Marketplace Software
Advaneo DataMarketplace vs BigQuery sharing
Advaneo DataMarketplace leads on 0 checks, BigQuery sharing on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAdvaneo DataMarketplace · 9.2/10
- Free planonly Advaneo DataMarketplace
Advaneo DataMarketplace scores higher on our rubric for data marketplace software: 9.2 against 8.6 out of 10; our editors rank them #2 and #7.
On commercial model, BigQuery sharing gives you Custom where Advaneo DataMarketplace offers Subscription.
Advaneo DataMarketplace is the better fit for mature marketplaces with broad exchange workflows. BigQuery sharing is the better fit for bigQuery-native data sharing.
- Advaneo DataMarketplace fits best
Mature marketplaces with broad exchange workflows
- BigQuery sharing fits best
BigQuery-native data sharing
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Side by side
| Feature | Advaneo DataMarketplace 9.2/10 Visit ↗ | BigQuery sharing 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.6 |
| Ranking | #2 in Data Marketplace Software | #7 in Data Marketplace Software |
| Best for | Mature marketplaces with broad exchange workflows | BigQuery-native data sharing |
| Pricing model | Free plan + paid | Paid |
| Starting price | €25/mo | Pricing on request |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Browser extension | Cloud |
| Platforms | Web | Web |
| Support | Docs | Live chat, Phone, Tickets, Community, Docs |
| Integrations | 4 integrations | 3 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Advaneo DataMarketplace 4/4 · BigQuery sharing 4/4 | ||
| Data transactions | ✓ | ✓ |
| Seller publishing | ✓ | ✓ |
| Access controls | ✓ | ✓ |
| Private marketplace | ✓ | ✓ |
| Specs | ||
| Delivery methods | Not checked yet | Query |
| Dataset listing limit | Not checked yet | Not checked yet |
| Commercial model | Subscription | Custom |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Advaneo DataMarketplace is a web-based catalog and trading portal for discovering, publishing, licensing, purchasing, and exchanging datasets. It suits individuals, teams, SMEs, enterprises, and public or private organizations that need… Read the review → |
BigQuery sharing, formerly Analytics Hub, is a Google Cloud data exchange platform for publishing, discovering, subscribing to, and querying shared datasets and Pub/Sub topics. Providers can organize resources into public or private… Read the review → |
Strengths and trade-offs
Advaneo DataMarketplace — where it wins
- Supports free and commercial dataset listings with seller publishing
- Combines downloads, APIs, and IDS-Connector data exchange
- Adds private groups, access management, analytics, and a workbench
Where it doesn't
- Premium data sales carry a 30% commission
- Small Business and Enterprise pricing is available on request
- The Free plan limits the workbench to 15 MB
BigQuery sharing — where it wins
- Shares datasets and Pub/Sub topics through public or private exchanges
- Enables read-only linked datasets without replicating underlying data
- Combines IAM controls, subscriptions, usage tracking, and Marketplace sales
Where it doesn't
- Pricing follows a contact-sales model rather than a published fixed plan
- Subscribers and publishers may incur underlying service-related charges
- Best suited to organizations already operating in the Google Cloud ecosystem
- Advaneo DataMarketplace9.2/10 · Free plan
A broad data marketplace for organizations managing both open and commercial exchanges.
Visit AdvaneoFull verdict → - BigQuery sharing8.6/10 · Pricing on request
A BigQuery-native exchange for governed data sharing, discovery, and direct querying.
Visit Google CloudFull verdict →
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- Advaneo DataMarketplace vs Narrative Data Marketplace
- AWS Data Exchange vs BigQuery sharing
All data marketplace software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







