ElasticSearch is a great tool that helps you search your database to get meaningful information incredibly fast. It’s easy to find documents, but where the power really comes in is when it comes to searching millions of log lines that mention the information you’re looking for. It helps you identify patterns and trends in your data, and supplies both structured and unstructured information.
Not only have ElasticSearch focused on making it easy to find this information, they’ve developed the product so that it’s incredibly fast. Inverted indices with finite state transducers for full-text querying, a column store for analytics and BKD trees for storing numeric and geo data. The indexing makes for incredibly fast retrieval, which means you can respond to business requirements quickly and flexibly.
It has intuitive APIs, and is incredibly reliable. It has a Hadoop Connector, and the X-pack feature easily installs into ElasticSearch to boost security, monitoring and alerting.
If you want fast, real-time access to the insight held in your data, then this is the tool we can help you get started with.
Provides Scalable Search
Supports all data types
Compatible with multiple programming languages, such as Java, Python, .NET, and Groovy
Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases. Established in 2012, the company develops the open source Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), X-Pack (commercial features), and Elastic Cloud (a SaaS offering). Over the years, there have been more than 100 million cumulative downloads. The Elastic community holds 85,000 members. Thousands of organizations including Cisco, Wikipedia, Microsoft, Goldman Sachs, NASA, eBay, Mayo Clinic, The New York Times, and Verizon use Elastic to power mission-critical systems. Supported by Benchmark Capital, Index Ventures, and NEA with more than $100 million in funding, Elastic has a distributed workforce with more than 500 employees in 30 countries.