Elasticsearch

Elasticsearch experts that you can rely on

01
Elasticsearch Consulting

Are you struggling to achieve optimal relevance, speed, or scalability with your Elasticsearch installation? We have the expertise and experience to help. Our team has a proven track record of success in various Elasticsearch use cases and domains, and we’re confident that we can provide tailored consultation services to meet your unique needs. From data modeling to design and deployment best practices, we’ll ensure that your Elasticsearch implementation performs at its best. Don’t settle for subpar performance – let us help you achieve the best possible results for your system. Contact us today to learn more.

02
Search Engine Development

Implement amazon-like lightning fast and smart search with rich features like typeahead, fuzziness, more like this, tunable relevance, and faceted search. We can also take it to the next level with our unique approach of classifying incoming events or documents purely with Elasticsarch capabilities.

03
Elasticsearch Upgrades

Modernize and future-proof search engines by migrating from an old-fashioned search using traditional databases or other search engines like Solr, Lucene, and Azure Search to Elasticsearch. With our vast experience performing major upgrades and migration, we can ensure peace of mind for you by ensuring no regression issues and risk-free migration by leveraging architectural best practices.

04
Performance Tuning

Wondering why search performance is poor though you have Elasticsearch? Leave it up to us to attain sub-second query performances as we know all nuts and bolts to tune it for the best possible response times. Not only query performance but we have got great experience to tune data ingestion that uses resources (CPU, memory, disk space) optimally to make your backend cost-effective.

05
Log Aggregation Using ELK

Logs say everything. The adoption of cloud computing is increasing. It is more difficult than ever for the stakeholders to get access to the logs on time. Our centralized ELK-based log monitoring solution will reduce your troubleshooting time by 10x.

06
Analytics Engine Development

Aggregations are one of the most underrated features of Elasticsearch. We have leveraged Elasticsearch aggregation capabilities to serve a variety of analytics requirements. You can stay assured about the performance.

07
Administration & Monitoring

Not only Elasticsearch-based feature development but customers trust us as SMEs to assist their operations to the team for administration and monitoring setup of the cluster.

08
Anything New

If you’re looking for anything new to integrate or new to try with ES, You’ve got us with the results you want.

Elasticsearch Usecases
01.Full-text search

We leverage ES features to make your search the most relevant

  • Phrase match
  • Stemming
  • Synonyms / Fuzziness
  • Contextual auto-suggest
  • Highlighting
02.Faceted search

Achieve lightning-fast page load time with massive data needing to show search results in terms of facets like Amazon, eBay, etc. that too with semi-structured or unstructured data types. Elasticsearch can also perform geo-location-based searches e.g. find restaurants in a 5 km radius of my current location.

03.Analytics

Running analysis on huge piles of logs that are based on timestamped data requires on-the-fly aggregations to allow users to know the distribution of the search results. Especially being able to analyze data as soon as it flies in

04.Data Discovery

When Elasticsearch is combined with visualization tools like Kibana or custom interactive dashboards it turns into a powerful data discovery tool that can spot anomalies or allows the user to explore big data in a comprehensible way.

01

Create a vision

We understand your product needs and create a vision for your enterprise search requirements

02

Ingest

Ingest the required data from necessary sources. Be it your existing RDBMS, external sources, or social media.

03

Identify search features

Identify search features that can enhance the user experience. For example, features like context-aware fuzzy search capabilities or auto-complete for search terms may enhance the productivity of the user.

04

Develop

Start with task-specific search support, evaluate and enhance search performance in an iterative way