Marqo
Marqo: A retail-focused vector search platform with multimodal discovery and merchandising controls. Ranked #16 of 27 in Vector Databases by our editors (7.8/10); pricing: Pricing on request; best for retailers building semantic commerce search.
At a glance
- Editor score7.8 / 10
- PricingPricing on request
- Best forRetailers building semantic commerce search
- Free planNo
- DeploymentCloud
- Facts checked22 Sep 2026

Where it wins
- Combines semantic, visual, multimodal, and hybrid product search
- Adds merchandising controls, recommendations, and browse experiences
- Integrates with Shopify, Adobe Commerce, and Salesforce Commerce Cloud
Where it doesn't
- Pricing requires a sales conversation
- Focuses more narrowly on retail than general vector database use cases
- Current commercial offering centers on managed cloud and API software
Our verdict on Marqo
Marqo is an AI-native product discovery platform for ecommerce retailers, aimed at mid-market and enterprise brands. It supports semantic product search, visual and multimodal search, hybrid keyword and semantic search, recommendations, collections, browse pages, and conversational shopping. Retail teams can also use shopper behavior and personalization capabilities to shape discovery experiences across web and API implementations, with Python and JavaScript SDK support.
Its strongest distinction is the depth of its commerce-oriented search and merchandising feature set. Metadata and range filtering support structured product discovery, while controls for boosts, buries, pins, slots, and filters give retail teams direct influence over ranking and presentation. The Marqo Pixel tracks shopper events, and dedicated retailer-specific AI models support product discovery workflows. Integrations with Shopify, Adobe Commerce, and Salesforce Commerce Cloud improve fit for established commerce stacks, while HNSW index support and hybrid search align with common vector-search requirements.
According to the vendor's pricing approach, Marqo uses contact-sales pricing rather than published plan tiers. The platform is available through web, API, and self-hosted options, while the current commercial offering is managed cloud/API software. That positioning suits retailers seeking a specialized search and merchandising layer, particularly when visual, multimodal, conversational, and recommendation features matter together. Teams looking for a general-purpose vector database, broad infrastructure flexibility, or transparent self-serve pricing may find its retail focus and sales-led purchase process less suitable.
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Marqo pricing
Marqo fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deployment | Cloud |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Sparse vectors | Not verified |
| Maximum dimensions | Not verified |
| Index types | Not verified |
| SDK languages | Python |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR |
| Support | Tickets, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: Shopify, Adobe Commerce, Klaviyo |
| Pricing | Pricing on request |
| Website | marqo.ai |
| Facts checked | 22 Sep 2026 |
Marqo integrations
Marqo lists 3 integrations on its own site.
- Shopify
- Adobe Commerce
- Klaviyo
Alternatives to Marqo
- ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
- Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
- VikingDBA cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.9.1
Also Ranked In
Marqo is ranked in 7 of our directories.
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Featured on iTechGuides
Marqo is listed in our Vector Databases directory. Add the badge to your site — it links back to this page.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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