Full-text search with relevance ranking
Precise results even with large datasets. Relevance scoring, filters, and facets — configurable for your use case.
Managed OpenSearch · Made in Germany
Search that scales with your data — hosted in Germany.
Querio is your managed OpenSearch service for e-commerce, SaaS, portals, and knowledge bases. Fast results, API integration, fixed monthly costs — GDPR-compliant with no billing surprises.
- GDPR-compliant
- Hosted in Germany
- German provider
- No pay-per-query
Live demo
Garden shears
8 results · 14 ms
-
€24.90
Bypass garden shears 200 mm
Garden
-
€39.50
Anvil garden shears Pro
Garden
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€54.00
Shears set: garden + hedge
Garden
- GDPR-compliant processing
- Hosted exclusively in Germany
- German point of contact
- Fixed monthly costs
- Response times under 50 ms
- REST API for any application
Everything modern search needs
Querio delivers the search infrastructure — you keep control of your application.
Autocomplete & suggestions
Matching terms and results appear as users type. They find what they need faster.
Tolerant matching
Fuzzy search, synonyms, and stemming: "gardscis" still finds garden shears. No empty results from a typo.
Scalable infrastructure
From startup to enterprise catalogue — Querio scales with your data volume and traffic without you running your own cluster.
REST API integration
Unified API for search, indexing, and suggestions. Integrate with Laravel, Shopware, Node.js, or any HTTP client.
Managed operations
Updates, monitoring, backups, and performance tuning — included. Focus on your product, not cluster maintenance.
Why Querio instead of self-hosting or international SaaS?
Most teams face the same choice: run OpenSearch yourself, use a US provider — or find something that combines both.
The problem
- Self-hosted OpenSearch: DevOps effort, cluster tuning, updates, failover — weeks to months before search is production-ready.
- International SaaS providers: data outside the EU, pay-per-query models, support tickets instead of a contact person, bills that grow with traffic.
- Standard database search: LIKE queries and FULLTEXT do not scale — slow beyond 50,000+ records, no relevance, no autocomplete.
The Querio answer
- Production-ready search in days, not months
- Data stays in Germany — GDPR-compliant
- Fixed monthly costs — predictable, no traffic surprises
- Personal point of contact — no anonymous ticket system
- OpenSearch power without your own cluster
International SaaS vs. Querio
A factual comparison — no marketing hype.
- Data location
- Often USA / global
- Germany
- GDPR
- DPA effort required
- Compliant by design
- Pricing model
- Pay-per-query / record limits
- Fixed monthly costs
- Support
- Ticket system, often English
- German point of contact
- Technology
- Proprietary or cloud-bound
- OpenSearch (open source)
- Vendor lock-in
- High
- API-based, portable
- Time to production
- Fast, but expensive at scale
- Fast, costs predictable
Many teams start with an international search provider and realise as they grow: the bill rises with success. Querio flips the model — you pay for infrastructure, not individual search requests.
For every data-intensive application
Querio is not just shop search — wherever users need to find the right content fast.
Product search that converts
Full-text search across titles, descriptions, categories, and attributes. Autocomplete in the search field, facet filters in results, tolerant matching for typos. Ideal for Shopware, WooCommerce, and custom shops.
- Product and variant search across 100k+ items
- "Did you mean …?" suggestions in the search field
- Filter by category, brand, and price at once
- REST API integration into any shop frontend
In-app search for your users
Your SaaS users search documents, records, or resources — Querio provides the search layer underneath. Multi-tenant ready, API-first, without Elasticsearch expertise on your team.
- Full-text search across any entity types
- Tenant-isolated indexes
- Sub-50-ms response times even with millions of documents
- Easy integration with Laravel, Node.js, Python
Millions of entries, millisecond response
Business directories, property portals, job boards, marketplaces — Querio indexes large datasets and delivers relevant results with facets and geo filters.
- Geo search and radius filters
- Faceted navigation (region, category, price)
- Bulk indexing via API or scheduled jobs
- Scale without performance drops
Find content, do not scroll
Manuals, FAQs, internal wikis, support articles — Querio makes knowledge searchable. With highlighting, relevance ranking, and related article suggestions.
- Search across title, body, tags, and metadata
- Hit highlighting in snippets
- Synonym support (e.g. "invoice" = "bill")
- Fewer support requests through better self-service search
Search infrastructure for your clients
You build for clients and need reliable search — without running your own clusters. Querio as a backend component with predictable costs per project.
- Fast integration into client projects
- Predictable costs for proposals
- German point of contact for questions
- No DevOps overhead
How your data flows
Three layers — your application, the Querio API, the OpenSearch cluster in Germany.
Your application
You control frontend, business logic, and data sync. Querio is the search layer — decoupled and replaceable.
Frontend/UI
Your design
Your logic
Querio API
REST endpoints for indexing, search, autocomplete, and management. API key authentication. JSON in, JSON out.
REST · Auth
Index · Search
API key
OpenSearch cluster
Dedicated infrastructure in Germany. Replication, backups, performance tuning — fully managed.
🇩🇪 Germany
Replicated
Managed
Live
API-first — integrate, do not rebuild
Querio speaks HTTP. Your stack stays; your search gets better.
What the API covers
Integration in 3 steps
Create an index
You define fields and mapping for your use case. Querio sets up the index.
Sync data
Products, articles, entries — via API call, webhook, or scheduled job from your application.
Connect search
Your frontend calls the search and suggest endpoints. You render results in your design.
Full API documentation is provided after onboarding. We are happy to discuss technical details in an initial call.
Compatible with Laravel, Shopware, Node.js, Python, and any HTTP client
Infrastructure instead of pay-per-query
As traffic grows, the billing model determines your long-term costs.
Typical SaaS model
- Price rises with every additional search request
- Record limits and feature tiers as cost drivers
- Peak months hit the invoice directly
- Costs hard to predict as the business grows
Querio
- No per-search billing
- Fixed monthly costs — predictable in your budget
- Scale via server resources, not artificial limits
- Cost planning based on data volume and traffic
- Significantly cheaper than many international providers
You pay for the infrastructure running your search — not for every click your users make. That makes Querio especially attractive for shops with seasonal peaks, growing catalogues, and SaaS products with rising usage.
Your data stays in Germany
Querio is built for companies that take data protection seriously — not as a feature, but as a foundation.
GDPR-compliant processing
Personal and business data is processed in line with GDPR. No compromises, no detours through third countries.
Hosted exclusively in Germany
The entire OpenSearch cluster is in Germany. Your search data does not leave German jurisdiction.
German provider
Querio is operated by Igor Clauss — a developer from Oldenburg with over 15 years of experience. Your contact speaks German, understands your project, and replies personally.
With many international search services you must review DPAs, document US data transfers, and hope the provider meets your compliance needs. With Querio, that effort disappears.
Querio vs. Algolia — a factual comparison
Algolia is a strong provider. For many German companies there is a better alternative.
Algolia
Querio
Data location
Global (often USA)
Germany
GDPR effort
DPA, third-country transfer
Compliant by design
Pricing model
Pay-per-record + pay-per-query
Fixed monthly costs
Technology
Proprietary
OpenSearch (open source)
Vendor lock-in
High (proprietary API)
Low (OpenSearch standard)
Support
Enterprise tickets
Personal point of contact
Cost at scale
Rises sharply
Predictable
Algolia suits teams that want to move fast and use US cloud services. Querio is the alternative when data protection, cost predictability, and a direct contact matter more — without sacrificing performance.
Frequently asked questions
Everything you need to know before deciding.
What exactly is Querio?
Querio is a managed OpenSearch service. We operate the search infrastructure in Germany — you integrate the REST API into your application. No own server, no cluster management.
Who is Querio for?
Companies, agencies, and developers who need fast full-text search — in e-commerce, SaaS, portals, directories, or knowledge bases. Especially when GDPR and cost predictability matter.
How does Querio differ from Algolia?
Algolia is US SaaS with a pay-per-query model. Querio uses OpenSearch, hosts in Germany, and charges fixed monthly costs. Same performance class, different philosophy.
Do I need OpenSearch knowledge?
No. Querio manages the entire cluster. You only need basic REST API experience to connect search and indexing.
How fast is integration?
Most projects are production-ready in 1–2 weeks — depending on data model and frontend. We support setup and initial indexing.
What does Querio cost?
Querio is billed monthly at fixed costs — based on data volume and required resources. No per-search charges. You receive a custom quote after a short conversation.
Where is my data stored?
Exclusively in Germany. No transfer to third countries.
Can I migrate away from Querio later?
Yes. Querio is based on OpenSearch — an open-source standard. Your index structure and data are not trapped in a proprietary format.
Is there a minimum term?
We discuss that individually. Usually monthly cancellation after a short setup phase.
Does Querio offer support?
Yes — directly from the operator. No ticket system, no chatbot. You write to me, I reply.
Ready for better search?
Tell me about your project — I will get back to you with an estimate of effort, timeline, and costs.
No spam. No newsletter pressure. Response usually within 24 hours.