Real-time search and flexible data models, powered by Redis.
Build fast, intelligent applications using Redis Search and JSON capabilities. Our Search & JSON service helps organizations design and operate high-performance, real-time search and document data solutions directly within Redis—reducing system complexity while delivering instant results.
Real-Time Search and JSON Data Flow
Executive Overview
Modern applications demand real-time search, filtering, and flexible data structures without the latency of external systems. Redis Search and RedisJSON enable powerful querying, indexing, and document storage while preserving Redis’s in-memory performance.
This service ensures Redis Search and JSON are implemented correctly—optimized for performance, memory efficiency, and scalability—so teams can confidently support production workloads with real-time requirements.
Core Capabilities
RedisJSON Data Modeling
We design document-based data models using RedisJSON that support evolving schemas, partial updates, and efficient reads without sacrificing performance.
RediSearch Indexing & Query Design
We architect secondary indexes and queries that enable fast full-text search, filtering, sorting, and aggregation directly within Redis.
Real-Time Query Performance
We optimize indexing strategies and query patterns to ensure predictable latency under high concurrency and large data volumes.
What We Design
Our Search & JSON solutions typically include:
- JSON schema and key structure design
- Index definitions and field weighting strategies
- Query patterns for filtering, sorting, and aggregation
- Pagination and result consistency handling
- Memory and index size optimization
- Cluster compatibility and scaling considerations
Each design is validated for real-world performance and operational safety.
Search & JSON Use Cases
We help organizations enable:
- Real-time search and autocomplete
- Advanced filtering and faceted navigation
- Metadata and configuration stores
- Personalization and recommendation engines
- API response caching with structured documents
All use cases are evaluated to ensure Redis is the right architectural choice.
Engagement Approach
Our consulting engagement follows a disciplined process:
- Use Case & Query Analysis
Understand search requirements and data access patterns. - Data & Index Design
Define JSON structures and search indexes. - Performance Validation
Test and tune for latency, throughput, and memory usage. - Implementation Guidance
Deliver production-ready patterns and documentation.
Deliverables
You receive a complete solution package including:
- Redis Search & JSON architecture diagrams
- Data modeling and indexing guidelines
- Query optimization recommendations
- Performance and memory tuning strategies
- Operational and scaling best practices
Business Outcomes
Organizations using Redis Search & JSON achieve:
- Real-time search with sub-millisecond latency
- Simplified architecture without external search systems
- Faster feature delivery and iteration
- Reduced infrastructure and operational costs
- Scalable, future-ready data models
Engage Redis Search & JSON Experts
Redis Search and JSON can replace entire system layers when designed correctly. Our Search & JSON service ensures you extract maximum value with minimal complexity.
Contact us to design a real-time search and JSON solution powered by Redis.