- Plug and play
- Shopify apparel and fashion
Boost Commerce
Shopify filter and search tool focused on collection filtering and smart search. Strong for apparel and fashion stores with complex variant filtering.
Search crosses business models. A D2C brand on Shopify and a B2B distributor running SAP can both need Algolia. Adjust the filters to your catalogue size, search volume, team capability, and AI requirements - and see what actually fits.
28 platforms match your situation
Shopify filter and search tool focused on collection filtering and smart search. Strong for apparel and fashion stores with complex variant filtering.
Hosted AI search you install in a day. Designed for SMB ecommerce teams who need better search without touching code.
Affordable hosted search for SMB and content sites. Transparent pricing without the usage-based cost anxiety of Algolia.
Shopify-first search plugin with a fast setup and a feature set built for stores that have outgrown the default search.
Search, recommendations, and email personalisation in one platform. European mid-market tool with strong product recommendation capability alongside search.
European search and navigation platform with a strong focus on merchandising control and zero-result handling. Particularly well-established in German-speaking markets.
Mid-market search and merchandising with strong B2B catalogue support. One of the few managed SaaS search platforms with genuine part number and technical attribute search.
AI search and discovery platform for retail ecommerce. Originally Shopify and Magento focused; now part of the Athos Commerce group alongside Searchspring and Intelligent Reach.
European AI search and product discovery platform. Strong analytics and A/B testing. Accessible pricing relative to comparable mid-market tools.
The developer-first search API. Fast, flexible, and the most widely integrated search infrastructure in the market. Genuinely excellent until the bill arrives.
The enterprise discovery platform that combines search, recommendations, content, and marketing automation. Strong if you need all of those. Expensive if you only need search.
Enterprise ecommerce search and product discovery platform built specifically for conversion. The only platform in this tier that optimises for revenue, not just relevance.
Enterprise AI search across multiple use cases - ecommerce, service portals, intranet, and knowledge management. The right choice if you need search that crosses content types and systems.
Enterprise merchandising and search platform with deep catalogue control. Long history in European fashion and home retail. Acquired by Crownpeak in 2022. Still in production use at large European fashion retailers but less AI-native than Constructor or Bloomreach.
Mid-to-large retail search built into the Netcore Cloud stack. Worth evaluating if you are already buying Netcore for email or engagement. As a standalone search purchase, you are competing against better-known platforms.
AWS-managed version of the Elasticsearch fork. The right choice for teams already invested in AWS who need managed search infrastructure without Elastic's licensing constraints.
Microsoft's managed search infrastructure. Native integration with the Azure and Microsoft 365 ecosystem. The right path for organisations already on Azure.
The original enterprise search infrastructure. Unmatched depth for log analytics and multi-use search. Complex to operate at scale and not a plug-and-play solution.
Google's managed retail search product, now called AI Commerce Search (part of Gemini Enterprise for Customer Experience). Pay-per-query pricing built on Google's AI infrastructure. The naming has changed repeatedly - verify you are looking at the right product before evaluating.
The original enterprise open-source search engine. Java-based, deeply capable, and showing its age. Still in production at large organisations but rarely the first choice for new builds.
Self-hosted Elasticsearch on your own infrastructure. Free licence (with limitations since 2021). Maximum flexibility, maximum operational responsibility.
The simplest serious open-source search engine. Fastest time-to-working-search for developers who want a clean API and predictable pricing without Elasticsearch's complexity.
AWS's open-source fork of Elasticsearch. Same capability, true Apache 2.0 licence. The correct choice when Elastic's licensing is a concern and you want to self-host.
Modern open-source search engine built for developer experience and speed. The right Algolia alternative for teams that want control without the complexity of Elasticsearch.
Multimodal vector search - text and image. Open-source with a managed cloud option. Purpose-built for ecommerce visual search and hybrid text-image retrieval.
Managed vector database. No self-hosting, no infrastructure management. Pay-per-use cloud service for semantic search and RAG applications.
Open-source vector database built for high-performance semantic search. The right choice when you are building semantic search or RAG applications and need to manage your own embeddings.
Open-source vector database with built-in vectoriser integration. More opinionated than Qdrant about how you bring embedding models in, which reduces some of the build complexity.