ElasticSearch Features


Easy to Scale (Distributed) 

  • Elasticsearch allows you to start small, but scale horizontally out of the box. As you need more capacity, just add more nodes, and let the cluster reorganize itself to take advantage of the extra hardware.
  • One server can hold one or more parts of one or more indexes, and whenever new nodes are introduced to the cluster they are just being added to the party. Every such index, or part of it, is called a shard, and Elasticsearch shards can be moved around the cluster very easily.


  • Elasticsearch is API driven. Almost any action can be performed using a simple RESTful API using JSON over HTTP. An API already exists in the language of your choice.
  • Responses are always in JSON, which is both machine and human-readable.





Build on top of Apache Lucene

  • Apache Lucene is a high performance, full-featured Information Retrieval library, written in Java. Elasticsearch uses Lucene internally to build its state of the art distributed search and analytics capabilities.
  • Since Lucene is a stable, proven technology, and continuously being added with more features and best practices, having Lucene as the underlying engine that powers Elasticsearch.


  • The REST API exposes a very complex and capable query DSL, that is very easy to use. Every query is just a JSON object that can practically contain any type of query, or even several of them combined. 
  • Using filtered queries, with some queries expressed as Lucene filters, helps leverage caching and thus speed up common queries, or complex queries with parts that can be reused.
  • Faceting, another very common search feature, is just something that upon request is accompanied to search results, and then is ready for you to use.


Excellent Query DSL




  • You can host multiple indexes on one Elasticsearch installation node or cluster. Each index can have multiple "types", which are essentially completely different indexes. 
  • The nice thing is you can query multiple types and multiple indexes with one simple query. This opens quite a lot of options.


  • Elasticsearch uses Lucene under the covers to provide the most powerful full-text search capabilities available in any open-source product. 
  • The search comes with multi-language support, a powerful query language, support for geolocation, context-aware did-you-mean suggestions, autocomplete, and search snippets.
  • Script support in filters and scorers

Support for Advanced Search Features



Configurable and Extensible

  • Many of Elasticsearch configurations can be changed while Elasticsearch is running, but some will require a restart (and in some cases reindexing). Most configurations can be changed using the REST API too. 
  • Elasticsearch has several extension points - namely site plugins (let you serve static content from ES - like monitoring javascript apps), rivers (for feeding data into Elasticsearch), and plugins that let you add modules or components within Elasticsearch itself.
  • This allows you to switch almost every part of Elasticsearch if so you choose, fairly easily.
  • Easily create additional REST endpoints to your Elasticsearch cluster.


  • Store complex real-world entities in Elasticsearch as structured JSON documents.
  • All fields are indexed by default, and all the indices can be used in a single query, to return results at breathtaking speed.  

Document Oriented



Per Operation Persistence

  • Elasticsearch puts your data safety first. Document changes are recorded in transaction logs on multiple nodes in the cluster to minimize the chance of any data loss. 


  • Elasticsearch allows you to get started easily. Toss it a JSON document and it will try to detect the data structure, index the data, and make it searchable. Later, apply your domain-specific knowledge of your data to customize how your data is indexed.

Schema Free



Conflict Management

  • Optimistic version control can be used where needed to ensure that data is never lost due to conflicting changes from multiple processes.


  • The community, other than creating nice tools and plugins, is very helpful and supporting. The overall vibe is really great, and this is an important metric of any OSS project.
  • There are also some books currently being written by community members, and many blog posts around the net sharing experiences and knowledge

Active Community



Altnix Advantage


ElasticSearch Consulting and Architecture Design

Altnix provides professional services for Consulting around ElasticSearch, Logstash, and Kibana (ELK) stack. Consulting includes the following:

  • Consulting for the adoption of ElasticSearch, Logstash and Kibana ELK stack
  • Architecture Design and Hardware Sizing Guidelines
  • Solution Design Document that can be handed over to engineers for implementation
  • Technology roadmap for adoption ELK stack products at your organization

ElasticSearch ELK Implementation and Deployment

Altnix implements ElasticSearch, Logstasha, and Kibana (ELK Stack) based solutions keeping in mind the business requirements. Implementation includes the following:

  • Development and Design for ELK solution
  • Building Queries and Indexes in ElasticSearch
  • Optimizing Queries and Indexes for performance in ElasticSearch
  • Log Formatting, Parsing and Log Archival in Logstash and ElasticSearch
  • Dashboard design in Kibana for Visualization and Presentation
  • Test and Development Phase
  • UAT sign off after consultation with the customer
  • Reports and Charts as per Customer requirements

ElasticSearch and ELK Customization

Altnix can customize your ElasticSearch ELK installation so that it is a better fit for your business environment.

  • Adding new workflows for issue escalation and alerts
  • Creating new visualizations and dashboards as per customer needs
  • Creating custom reports and charts as per customer needs
  • Adding new monitoring scripts, plug-ins and components if needed

Third-Party Integration

Altnix can integrate ElasticSearch ELK stack with other third-party tools to meet several business use cases.

  • Ticketing systems such as IBM NetCool, BMC Remedy, Zendesk, and ((OTRS)) Community Edition
  • Monitoring Tools such as OpenNMS, Zabbix, Prometheus and Nagios
  • IT Automation Tools such as StackStorm, Ansible, and Jenkins
  • Visualization Tools such as Grafana, Graphite, Cacti

24x7 AMC Support Services

Altnix offers 24x7 support services on an AMC or per hour basis for new or existing installations on ElasticSearch ELK Stack. Our team of experts are available round the clock and respond to you within a pre-defined SLA.

Case Studies


Knute Weicke

Security Head, IT

Fellowes Inc, USA



Altnix was an instrumental partner in two phases of our Security ISO needs. The first being a comprehensive developed Service/Ticketing system for our global offices. The second being that of an Asset Management tool that ties all assets into our Ticketing systems to close a gap that we had in that category. They are strong partners in working towards a viable solution for our needs



The Altnix team was very easy to work with and resolved our needs in a timely manner.  Working with Altnix, allowed us to focus on our core business while they handled the technical components to help streamline our business tools.  We have found a strategic partner in Altnix



Johnnie Rucker

General Manager

Encore Global Solutions, USA



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