Maximize the return on your Elasticsearch investment with SearchBlox.


Your enterprise is complex, but your search engine doesn’t have to be. We build intuitive and intelligent search based on Elasticsearch, the world’s leading open source search and analytics solution. Built on Apache Lucene, the search and analytics engine is the most important part of the Elastic Stack collection of open source tools. This is sometimes called the Elk Stack, and it contains Elasticsearch, Logstash, and Kibana. This full-text search engine is the easiest way to search and analyze petabytes of data with conditions of any kind in practically real-time.

Join more than 500 customers who have already chosen SearchBlox over custom developed solutions on Elasticsearch. Lower the total of ownership (TCO) with fast loaded deployment and out-of-the-box functionality that includes 24×7 support and ongoing upgrades.

Web admin console with easy index management

Integrated security including user management, audit and searchable data encryption

150+ connectors, including Web, Filesystem, Database, Confluence, Salesforce, SharePoint, Drupaland custom API sources

Support for 37 Languages and 40+ Document Formats

Easy Search UI integrations, including WordPress, Sitecore, Drupal, Adobe Experience Manager and React/Angular apps

  • Whether you’re trying to use big data to find insights regarding business decisions or to add new features and enhance the user experience, you need enterprise-level search to handle large volumes of data in a manageable period of time. Elasticsearch software collects unstructured data from web applications, log analytics, and system metrics before indexing the data so it may be retrieved via a search query. All search engines index data, but the scalability of Elastic allows for quick data ingestion on a grand scale, and a relevant search will return detailed information for complex queries. Different tools in the Elastic Stack can even return interactive visualizations of data.

    A single index in the Elasticsearch engine is a collection of related documents or data. Elastic stores data in the form of JSON documents. Each of these JSON docs contains a key and a value (boolean, strings, geo data, etc.) is used in the Elastic data structure known as the inverted index. This allows for extremely fast searches by listing every unique word that appears in a document as well as how many documents have each unique word. Thanks to full API support, each JSON format document can be easily updated.

    Elasticsearch data often comes from Logstash which is a server-side data aggregator that allows for simultaneous ingestion of multiple data sources. Kibana, a visualization and management tool in the Elastic Stack, can then be used to represent data via pie charts, line graphs, histograms, and other data visualizations.

  • Elasticsearch enterprise JSON docs are distributed in containers known as shards. Data is found via nodes, which are each a single server within a cluster, and shards are the smallest units of memory that can store the data. Each primary shard is duplicated into replica shards. These replicas preserve data in case of hardware failures and make horizontal scaling easy since Elastic Search can be spread across thousands of servers.

    Elastic enterprise search can be installed using any operating system, though you may need to alter configurations from the default settings. It supports a variety of programming languages including JavaScript, Python, Perl, .NET, and Ruby. It also comes equipped with many REST APIs that can be used to configure features, search against indices, and perform aggregation queries.

  • Elasticsearch can be deployed either on your own hardware or in the cloud. There are also several options to get Elasticsearch service via a managed service provider like Amazon Web Services or the Google Cloud platform. For those who don’t want to use a public cloud provider, Elastic Cloud Enterprise can still be installed on physical hardware, in virtual machines, or through a private cloud network.

    One of the greatest benefits of running Elastic Cloud is that you can start using ELK with minimum time and effort compared to following individual installation steps for each core component and setting up configurations. The Elastic Cloud Elastic Stack also has limitless infrastructure, so you don’t have to worry about limited capacity for document data or overloading your own framework. The short learning curve means that even beginners can start using the best features as soon as possible.

    Using Elastic Cloud Enterprise also ensures you’re always using the latest Elasticsearch version. Automatic updates to each major version helps you avoid performance issues and also keep Elastic security up to date to protect against attacks. Secure your Elasticsearch clusters with authentication and authorization methods to ensure proper access control for all team members. Set up roles that control permissions for individual users based on relevancy for their tasks. You can even enable auditing for each Elastic cluster to observe interactions.

Ready to get started?

We build intuitive and intelligent insight engines on Elasticsearch.

Enhance your enterprise search solution by adding the ability to:

Protect your data — and your reputation — with searchable encryption.

Make it easier for users to find what they need by suggesting search terms associated with keywords using SearchAI SmartSuggest.

Respond to natural language queries on the search results page, in a chatbot or via voice assistant using SearchAI Answers.

Get started in minutes with Search as a Service (SaaS) products. Or enjoy all the efficiencies of the cloud by choosing our Fully Managed Enterprise Search on AWS.

From helping you define your business requirements to creating a proof of concept and building a solution, we’re here to help you make the most of investment in Elasticsearch.

Robert Selvaraj, CEO, SearchBlox

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We offer a fully functional, 30 day free trial on nearly all of our products. You’re a click away from getting started.

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