We build with Elasticsearch
We use Elasticsearch to build fast, relevant search experiences and real-time log and analytics platforms that support your business goals. From index design and query tuning to cluster scaling and monitoring, we create products designed to evolve with your needs.
DISCUSS YOUR PROJECTFast Full-Text Search
We index text for fast, relevant search across large datasets.
Horizontal Scalability
We shard and replicate data across distributed cluster nodes.
Real-Time Analytics
We query and visualize data as it arrives, in near real time.
BENEFITS OF ELASTICSEARCH technology
We use Elasticsearch to power full-text search, analyze logs at scale, and surface insights in real time.
BUILD
[01]- Design index mappings
- Model document schemas
- Configure shard strategy
- Set up ingest pipelines
ENGAGE
[02]- Power full-text search
- Rank results by relevance
- Ingest logs and metrics
- Visualize data in Kibana
GROW
[03]- Scale clusters horizontally
- Add replica shards
- Optimize query performance
- Extend with vector search
Our Elasticsearch Technology Stack
We combine Elasticsearch with Logstash, Kibana, and Beats for data ingestion, visualization, and lightweight shipping, plus custom pipelines for indexing, relevance tuning, and cluster scaling.
Custom Elasticsearch development company
With our Elasticsearch development services, we build fast, relevant search experiences, log and infrastructure monitoring, and security analytics platforms, tailored to your boldest business goals. Having years of experience with Elasticsearch, our engineers harness its full potential to deliver scalable, high-performance search and analytics solutions across industries and company sizes. Whether it's adding search to an existing product or building a new ELK-based monitoring stack from scratch, we design indices and cluster architectures that scale with your data. Our range of Elasticsearch development services spans consulting, index design, cluster setup, and ongoing optimization. We work as your technical partner and ensure complete transparency and comfortable communication throughout the process, bringing deep search and analytics expertise and a pragmatic approach to relevance tuning and problem-solving. All this to make sure your search stays fast and your insights stay accurate as data grows, and moves your business forward.
OUR ELASTICSEARCH SERVICES
We build, modernize, and support Elasticsearch search and analytics platforms around your goals.
Your roadmap is growing faster than your team. Add senior engineering capacity and deliver more without sacrificing quality.
Full-text search, relevance tuning, and autocomplete built around your product's data.
Log ingestion, infrastructure monitoring, and dashboards built with Logstash, Kibana, and Beats.
Sharding, replication, and performance tuning for clusters that grow with your traffic.
Migrate legacy search systems to Elasticsearch or optimize an existing cluster for cost and speed.
Meet our Elasticsearch experts
A curated selection of senior specialists currently available for new engagements.
AK
AR
DH
We Turn Technology Into Results
Partner with a team that blends technical precision, creative design, and business insight. We’ll help you launch, scale, and dominate your digital niche.
Frequently Asked Questions
Common questions about how we use Elasticsearch and what it can bring to your project. Have a specific requirement?
How does SoftDoes use Elasticsearch?
We use Elasticsearch to power full-text search, log and infrastructure monitoring, and security analytics. We design index mappings and cluster architecture around your data volume and query patterns.
What types of applications do you build with Elasticsearch?
We build search features for ecommerce and content platforms, log and metrics monitoring dashboards, application performance monitoring, and security analytics (SIEM) systems.
Can Elasticsearch integrate with our existing systems?
Yes. Elasticsearch commonly sits alongside an existing database, indexing data from it for search, or ingests logs and metrics directly from your infrastructure.
Do you work with the full ELK/Elastic Stack?
Yes. We regularly pair Elasticsearch with Logstash for data processing, Kibana for visualization, and Beats for lightweight data shipping, depending on what your pipeline needs.
Does Elasticsearch support vector or semantic search?
Yes. Elasticsearch supports vector search for similarity-based use cases like semantic search and recommendation systems, alongside its traditional full-text search capabilities.
Can you migrate our search or logging setup to Elasticsearch?
Yes. We assess your current search or log pipeline, design an index and sharding strategy, and migrate data with minimal disruption to existing queries.
How do you decide whether Elasticsearch fits a project?
We look at your query patterns, data volume, latency requirements, and existing infrastructure, then confirm Elasticsearch is the right fit before starting development.
