Search in SaaS products
Fast full-text search across tasks, comments and attachments, kept in sync with the main database.
We add Elasticsearch when built-in database search stops being enough. It powers search across large task volumes in a Scrum and Kanban workspace and search in the HS High Stake business portal for a German division, its dealers and staff.
The kinds of work we use Elasticsearch for, based on the projects below rather than a list of everything the technology can do.
Fast full-text search across tasks, comments and attachments, kept in sync with the main database.
Product and document search for dealers and employees in a .NET portal.
Faceted filtering that stays fast on large catalogs and lists.
Which part of the system it ran, and what it worked with. Every row links to the full case study.
Each one with the client’s problem, our approach and what changed.

A task and project workspace with Scrum and Kanban boards, detailed task cards, time tracking and live updates for teams of any size.
OSKI developers joined HS High Stake to build modules for a large business portal that links a German division, its dealers and its employees.
We do not sell hours of a technology. We take on a result, and choose the stack with you. These are the services where Elasticsearch usually comes in.
Each one backed by at least one published client project.
Backend
Anything missing? Send us your question and an engineer will answer, usually within one business day.
Contact usOnly when database search gets slow or you need relevance ranking, typo tolerance and facets. For CMS sites, Lucene inside Umbraco is often enough; we used it on Auto.co.il and Ben-Gurion University.
Changes are pushed to the index when records change, with a full re-index job for recovery.
Yes. The HS High Stake portal is a .NET system with Elasticsearch alongside SQL Server.
A spec, a Figma file or three paragraphs is enough to start.

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