Apache Solr Consulting Services
Work with Apache Solr experts to design, optimize, and scale powerful search solutions. Our consulting services help you maximize Solr performance, implement advanced features, and deliver intelligent search experiences.
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Comprehensive Solr Consulting Services
Our Apache Solr consulting services cover the full lifecycle of search implementations, from initial architecture design through production support and continuous optimization.
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Architecture design and implementation for scalable, fault-tolerant Solr deployments
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Migration from other platforms and version upgrades with minimal downtime
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Performance tuning for indexing speed, query response times, and resource efficiency
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Search relevance tuning and custom scoring to improve result quality
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24/7 production support with guaranteed response times and SLA commitments
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AI and machine learning integration including neural search and vector capabilities
Why Choose BigData Boutique for Solr Consulting
With over 13 years of experience working with Apache Solr and Apache Lucene, BigData Boutique has helped organizations across industries implement robust, scalable search solutions. Our team includes committers and contributors to the Apache Lucene/Solr project with deep expertise in search engine internals.
We provide end-to-end Solr consulting services from initial assessment and architecture design through implementation, optimization, and ongoing support. Whether you're building a new search application or optimizing an existing deployment, we deliver practical solutions that meet your performance, scalability, and reliability requirements.
Our consultants stay current with the latest Solr capabilities including neural search, vector similarity, and AI integration. We help you modernize legacy Solr implementations with contemporary technologies while maintaining the robust foundation that makes Solr a proven choice for enterprise search.
We Can Help You
Solr Migration and Version Upgrades
Migrating to Solr or upgrading to the latest version requires careful planning and execution. Our consultants provide end-to-end migration services with minimal downtime and risk.
We handle migrations from Elasticsearch, proprietary search platforms, and legacy Solr versions. Our proven methodology includes compatibility assessment, testing, and staged rollout to ensure smooth transitions without disrupting production services.
Solr Performance Optimization
Solr performance depends on proper configuration, efficient schemas, and optimized queries. Our consultants apply proven techniques to maximize throughput and minimize latency.
We optimize indexing pipelines, query execution plans, caching strategies, and resource allocation. Our performance tuning reduces response times, improves scalability, and cuts infrastructure costs.
Through systematic analysis and testing, we identify bottlenecks and implement targeted optimizations that deliver measurable improvements in query speed, indexing rate, and overall system efficiency.
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24/7 Solr Production Support
Our production support services provide round-the-clock monitoring and rapid response to issues. With guaranteed SLAs and direct access to senior Solr engineers, you can rely on us to keep your search infrastructure stable.
Solr Training and Knowledge Transfer
We provide comprehensive training for developers and operations teams covering Solr administration, schema design, query tuning, and troubleshooting. Our training ensures your team can effectively maintain and evolve your search solution.
Custom Solr Development
When standard Solr features don't meet your needs, we develop custom plugins, request handlers, and extensions. Our engineers have deep knowledge of Solr internals and can implement specialized functionality efficiently.
Modern Solr with AI and Machine Learning
Apache Solr continues to evolve with modern search capabilities. Our consulting services help you leverage the latest Solr features to build intelligent search applications that go beyond keyword matching.
Advanced Solr capabilities we implement:
- Neural search with vector similarity and dense retrieval
- Learning to rank for personalized result ordering
- Natural language processing for query understanding
- Semantic search using knowledge graphs and embeddings
- Generative AI integration with Retrieval Augmented Generation
- Multi-modal search across text, images, and structured data
We help you modernize Solr deployments with AI capabilities while maintaining the reliability and performance that make Solr a trusted choice for enterprise search applications.
Solr Search Relevance Engineering
Search relevance directly impacts user satisfaction and business outcomes. Our Solr consultants apply advanced relevance tuning techniques to ensure users find the most relevant results quickly.
Our Solr relevance engineering includes:
- Custom scoring and boosting strategies for your domain
- Query analysis with synonyms, stemming, and language detection
- Faceted search and filtering for result refinement
- Spellchecking and auto-suggest for query correction
- Result grouping and field collapsing for better presentation
- Analytics-driven optimization based on user behavior
We implement data-driven relevance tuning workflows that continuously improve search quality through testing, measurement, and iterative refinement.
Solr Architecture and Scalability
Proper architecture is fundamental to Solr success. We design distributed SolrCloud deployments that scale horizontally while maintaining high availability and fault tolerance.
Our architects evaluate your requirements for data volume, query load, and availability to design optimal shard and replica configurations. We implement monitoring, backup strategies, and disaster recovery procedures to ensure production reliability.
Our Solr architecture services include:
- Capacity planning and sizing recommendations
- Collection and shard strategy design
- Replication and failover configuration
- Integration with data pipelines and applications
- Security implementation including authentication and authorization
- Multi-datacenter deployment for geographic distribution
We deliver architectures that support your current needs while providing flexibility to scale and evolve as requirements change.
FAQ
We provide comprehensive Solr consulting including architecture design, implementation, migration, performance optimization, relevance tuning, production support, and training. Our services cover the full lifecycle of Solr deployments.
Yes, we provide end-to-end migration services from Elasticsearch and other search platforms to Solr. Our proven methodology ensures smooth transitions with minimal downtime and thorough compatibility testing.
We support all Solr versions from 3.x through the latest 9.x releases. We can help you upgrade legacy deployments to modern versions with improved performance and new capabilities.
We optimize Solr through schema tuning, query optimization, caching configuration, indexing pipeline improvements, and infrastructure right-sizing. Our systematic approach identifies and addresses performance bottlenecks.
We offer 24/7 production support with guaranteed response times and SLA commitments. Our support includes proactive monitoring, incident response, performance optimization, and direct access to senior Solr engineers.
Yes, we implement modern AI capabilities including neural search, vector similarity, learning to rank, and natural language processing. We help modernize Solr with contemporary search technologies.
Absolutely. Our engineers develop custom request handlers, query parsers, update processors, and other Solr extensions when standard features don't meet your requirements.
We offer customized training covering Solr administration, schema design, query optimization, relevance tuning, and troubleshooting. Training can be delivered on-site, remotely, or through recorded materials.
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