Elasticsearch Consulting

  • Elasticsearch is a fast, highly scalable search technology built on top of Lucene.
  • Top features include full-text search, autocomplete, facets, filters, spell-checking, hit-highlighting, paging and boosting.
  • At Cazton, we help Fortune 500, large and mid-size companies with Elasticsearch development, consulting, recruiting services and hands-on training services.

Search is one of the most important tools in any web application. Having a robust and fool-proof search system can boost your business growth in many ways. One such technology that empowers search is called Elasticsearch. Unlike traditional RDBMS, Elasticsearch is designed to allow full-text searching. It allows you to create your own search-engine that is fast, powerful and scalable. In addition to web searches, Elasticsearch is also used for log analysis and big data analytics. We at Cazton have Elasticsearch experts who have years of practical experience in implementing this amazing technology for a number of client projects. Read on to find out if it is the right tool for your business.

What is Elasticsearch?

Elasticsearch is an open-source, powerful, scalable, and real-time search technology. It provides a full-text search and analytics engine. Elasticsearch is scalable because you can deploy this technology on a cluster of computers without compromising on performance.

Over the years, Elasticsearch has garnered attention of developers and has become one of the most popular and preferred search technologies. Some of the top companies that use Elasticsearch include LinkedIn, eBay, StackOverflow, Uber, BBC, and Netflix.

What is Logstash?

Logstash is an open-source data processing pipeline that offers real-time capabilities that help you ingest data from a wide range of sources, transform that data, and store it at your desired storage location. It provides flexible filters and more than 200 plugins that help in indexing data the way we want. Logstash is the preferred data processing pipeline for Elasticsearch.

What is Kibana?

Kibana is an open-source data visualization and exploration platform designed to work in conjunction with Elasticsearch. It is very useful for visualizing complex data streams with graphical representation. Kibana helps visualize real-time data about visitors to your webpage, number of sales per region, locations from sensor data, emails sent, most frequent errors and much more.

What is Elasticsearch Shield?

Elasticsearch Shield is a security plugin that allows us to protect Elasticsearch clusters from unintentional modification or unauthorized access, with a username and password. Advanced security features like encryption, role-based access control, IP filtering, and auditing are also available when needed.

Benefits of using Elasticsearch:

Some of the advantages of using Elasticsearch are:

  • Scalability: Elasticsearch can store petabytes of data and can be deployed on a huge cluster of computers, ranging from one single node to hundreds of nodes without affecting the performance; thus allowing the user to manage complexity of the distributed design. Elasticsearch takes care of all complexity!
  • Super-Fast: As compared to a traditional RDBMS, Elasticsearch indexes and queries data in near real-time (i.e. within a single second), making it one of the fastest search engine technologies. Complex search using a traditional relational database might take a few seconds; however, Elasticsearch provides complex search results in milliseconds.
  • Inverted-Indexing: Elasticsearch uses the inverted-indexing mechanism that indexes the documents passed to it and thus provides high-performance results.
  • High-Level API: Elasticsearch provides high level APIs that are developer-friendly; which makes their job much easier. This set of API is RESTful that works over HTTP and helps make the process of indexing as well as searching easier.
  • Schema-Free: All documents are stored in JSON format.
  • Multiple-Usage: In addition to full-text searches, we can use Elasticsearch for auto-suggest, auto-complete, spell-checker, geolocation search, enterprise search and much more.
  • Manage Huge Quantity of Data: We can store billions of documents inside a single index and each cluster can hold up to petabytes of indexes, which virtually makes the storage limitless.
  • ELK Stack: This is a new stack of three open-source technologies, which have become one of the world's most popular log-management platforms. ELK stands for Elasticsearch, Logstash and Kibana. Elasticsearch is used for deep search and data analytics; Logstash for centralized logging, log enrichment and parsing; and Kibana for powerful and beautiful data visualizations.

Elasticsearch & Big Data

Cazton has been a pioneer in Big Data Consulting and in addition to using Hadoop, Spark, Kafka and Scala, Elasticsearch is widely used by our big data specialists. Big Data analytics, which has become one of the most booming fields in technology, is now closely related to Elasticsearch. Elasticsearch, along with Logstash and Kibana, makes a new elastic stack called ELK, which is gaining momentum due to easy installation, JSON based-query language, developer-friendly API and easy to use dashboard.

How can Cazton help you with Elasticsearch Consulting?

Cazton can provide you with Elasticsearch and ELK stack experts, who have years of experience working on elastic stack technologies. Our experts have a deep understanding of search, which can help you manage automating elastic clusters, architecting search stack; tuning up performance and scaling new or existing Elasticsearch implementation. We can provide experts with flexible engagements at cost-effective rates.