Large product catalog
Thousands of items with attributes, and the customer has to find the right one in seconds.
Elasticsearch
A distributed engine for full-text search and analysis of large data volumes. We choose it when weak site search keeps customers from finding what they need.
WHY WE CHOOSE THIS
If a shopper cannot find a product through search, they go to a competitor. Elasticsearch finds the right item even when the query has a typo, and does it fast on large catalogs.
Search does not find products
Visitors type a query, get empty results and leave, even though the item is in stock.
Lots of data to analyze
Logs, events or documents need to be filtered and searched quickly.
Online stores and marketplaces
Search with faceted filters, suggestions and typo tolerance.
Content platforms and knowledge bases
Full-text search across articles and documents that accounts for word forms.
Client areas and internal systems
Fast search across customers, orders and documents.
Log analytics
Collecting and searching application logs together with Kibana to track errors.
CASE FOR THIS TECHNOLOGYAll cases
OCTOBER 2026eСommerce / DEVELOPMENTWe rebuilt e-commerce without stopping sales
Purchase conversion up from 1.4% to 3%: a new platform for 1M+ products with no sales stoppage.
Let’s discuss the project in person
Start with clarity, not spending
Book a Clarity Session—a 30-minute review of your marketing. You will receive a map of bottlenecks and a clear understanding of the next steps.
Clarity first. Then — managed and systematic growth.
REVIEWS
All reviewsAre clients satisfied?
The team took a professional approach to upgrading site, ensuring high-quality project delivery without interrupting the store’s operations.
Nikolay LuchinskyRetail Director / STOREinUATECHNOLOGY FOUNDATION
Other technologies in our stack
Does our store need Elasticsearch?+
It depends on the catalog. For a small range of products, the platform's built-in search is enough. When there are many products with many attributes, Elasticsearch noticeably improves results and filters.
Does Elasticsearch handle languages with complex word forms?+
Yes, if configured correctly. We connect analyzers that account for word forms and synonym dictionaries, so search finds the product regardless of the word form in the query.
Why Elasticsearch and not database search?+
Database search works well for simple queries, but on large catalogs it slows down and struggles with typos and synonyms. Elasticsearch is built specifically for search: it ranks results by relevance and responds fast even at large volumes.
Site search is a salesperson that works around the clock.
GVSPACE implements Elasticsearch search for online stores, marketplaces and content platforms where result accuracy drives conversion. We set up catalog indexing, filters, suggestions, synonyms and typo handling, with support for the word forms of your language. We also use Elasticsearch for search in internal systems and for log analysis, so the team finds the data it needs quickly.