Search engine developed in-house by TBE, based on Elasticsearch and Docker with an advanced semantic intelligence layer. Extreme speed, relevant results and a cost radically lower than SaaS solutions on the market.
BigFinder is the semantic search engine developed by The BigTech Experience for ecommerce portals, marketplaces and catalogues with high product volumes. Unlike a conventional search engine, BigFinder does not look for exact text strings: it understands the search intent of the user and returns the most relevant results even when the words do not match literally.
The architecture is built on Elasticsearch for large-scale indexing and information retrieval, orchestrated with Docker to ensure horizontal scalability and reproducible deployments in any environment. On top of this foundation, the semantic intelligence layer enriches queries so that the engine understands synonyms, typos, natural language and sector-specific technical terms.
The result: response time under 100 ms, relevance far superior to the native search engines of standard ecommerce platforms, and an operating cost incomparably lower than external SaaS solutions such as other SaaS Finders, Enterprise Finders or Enterprise Finders.
Responses in under 100 ms even with catalogues of hundreds of thousands of items and high traffic spikes
Understands synonyms, typos, colloquial language and sector-specific technical terms without exhaustive manual configuration
Technology stack proven at real scale, with automatic horizontal scaling and reproducible deployments on any infrastructure
Connect it to any ecommerce platform, CMS or ERP via REST API or webhooks. No painful migrations
Being a proprietary development, you do not pay per query or per number of indexed products. The cost is flat and predictable
BigFinder adapts to any environment with large product volumes and users who need to find what they are looking for quickly.
Order portals for professional customers with extensive catalogues where searching by reference, description or manufacturer code is critical
Multi-seller platforms where result relevance directly impacts conversion and end-buyer satisfaction
Wholesale distributors with thousands of items who need their customers to find the exact product in seconds, without knowing the internal code
Manufacturers or importers with technical catalogues where users search by specifications, dimensions or sector terminology
Knowledge bases, documentation repositories or internal portals where locating information quickly is key to team productivity
Stores with high traffic spikes where a slow or irrelevant search engine translates directly into abandonment and lost conversion
Every layer of BigFinder is chosen to guarantee long-term performance, reliability and maintainability.
The world's most widely used indexing engine for full-text search at scale. BigFinder leverages its linguistic analysis, faceting, relevance boosting and hot reindexing capabilities without interrupting the service.
The containerised architecture allows the exact environment to be replicated on any infrastructure (cloud, on-premise or hybrid), instant rollbacks and horizontal scaling of search nodes according to demand.
On top of Elasticsearch, BigFinder incorporates semantic embedding models that transform the user's query into a meaning vector. The engine compares that vector with the indexed catalogue and returns the semantically closest results, not just lexically.
BigFinder exposes a documented REST API that can be connected to any frontend, ecommerce platform or ERP within hours. Webhooks keep the index synchronised in real time with catalogue, price or stock changes.
Why more and more companies choose a proprietary engine over a pay-per-search SaaS solution.
| Feature | BigFinder (TBE) | Other SaaS Finders | Enterprise Finders |
|---|---|---|---|
| Semantic search / AI | Basic | ||
| No per-search cost | |||
| Proprietary and customisable code | Limited | ||
| On-premise / own cloud deployment | Enterprise | ||
| Response time < 100 ms | Variable | ||
| No limit on indexed products | Plan-dependent | Plan-dependent | |
| API / Webhook integration | |||
| Support and evolution included | Plan-dependent | Extra cost |
One of Spain's leading distribution groups operated ecommerce portals with catalogues of hundreds of thousands of items. Their native search engine was slow, irrelevant and created friction that directly impacted conversion.
TBE developed and deployed BigFinder across their digital portals. The solution integrated Elasticsearch with a semantic layer trained on the sector's specific terminology, and was deployed in Docker containers to handle traffic spikes without service degradation.
The results speak for themselves: millions of searches handled monthly in under 100 ms on average, a significant improvement in post-search conversion rate and a drastic reduction in operating cost compared to the SaaS solution they evaluated as an alternative.
Under 100 ms on average, even during traffic peak periods
Capacity to handle millions of monthly queries without service degradation
Greater result relevance translates directly into fewer abandonments and more sales
BigFinder does not charge per search or per number of indexed products. The price is a closed implementation project plus a flat monthly maintenance fee, regardless of the search volume you handle.
Closed project covering analysis, integration development, semantic index configuration, load testing and production launch.
Custom quote based on catalogue and integration complexity
Flat fee covering monitoring, semantic layer updates, technical support and continuous model evolution. No volume surprises.
Fixed monthly price · No per-search royalties
Curious to know how much you would save compared to other SaaS Finders or another SaaS solution? Tell us your volume and we will prepare a real comparison with no commitment.
Request a cost comparisonTell us about your platform and catalogue volume. In less than 24 hours we will explain how BigFinder can improve your search and how much you could save.
In less than 24 hours a TBE specialist will contact you to discuss BigFinder.