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Elasticsearch Search and Filtering

Elasticsearch is an engine for indexing and searching data. It can complement a primary database when full-text queries, filters and aggregations are needed across documents.

What we work on

  • Search-index modelling

  • Queries, filters and aggregations

  • Synchronisation with primary data

Our implementation approach

We start with sample queries and expected results. Analysis, index updates and relevance checks are defined together. Search indexes need their own rebuild procedure.

Scope and cost of Elasticsearch work

Estimates depend on the existing project, data volume, integrations and verification requirements. We agree on the workflows, deliverables and acceptance criteria first.

What we need to get started

Send a brief, website address or requirements for a new product. For an existing application, a problem list, main component versions and examples of expected behaviour help define scope. We will review the materials and agree on priorities.

Discuss your project or explore our technology stack.

How we estimate project cost

Integration and launch
Individual quote

For a new website or store with an agreed structure and available project materials.

  • Number of unique templates
  • Design and content readiness
  • Language versions
  • Launch preparation
Discuss your project
Custom functionality
Individual quote

For catalogues, accounts, custom modules and data exchange with other systems.

  • Customer and manager journeys
  • Catalogue and ordering rules
  • Integrations and data volume
  • Acceptance criteria
Discuss your project
Improvements and migration
Individual quote

For an existing website update, content migration or integration of a new interface.

  • Current technical condition
  • Scope of changes and migration
  • URL and content preservation
  • Compatibility of existing modules
Discuss your project