Managed Elasticsearch

A fast, scalable, resilient and highly flexible distributed search and analytics engine on AWS, Azure, GCP and IBM Cloud

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Store. Search. Manage your Data with Instaclustr

Coming soon to Instaclustr’s managed services offering is Elasticsearch, an open-source, RESTful, distributed search and analytics engine. Elasticsearch can be used to search all kinds of documents and is commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence use cases.

Emerging as a most popular search engine, Elasticsearch provides a scalable search solution, has near real-time search, and supports multi-tenancy. Built on Apache Lucene and released under an Apache license in 2010, it is Java-based and can search and index document files in diverse formats.

Elasticsearch is fast, scalable, resilient and highly flexible – companies around the world rely on it to solve numerous search related challenges.

Instaclustr’s initial Managed Elasticsearch release can be provisioned on AWS, GCP, Azure and IBM Cloud

Early Access Program (EAP) for Elasticsearch

If you are thinking of using search and analytic engine, Elasticsearch is the right choice. At Instaclustr, we are currently working with customers on our Early Access Program for Elasticsearch provisioned on AWS.

Contact us, if you are interested to be our early access customer for our Managed Elasticsearch.

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Instaclustr Managed Elasticsearch Advantage

Our hosted and fully managed Elasticsearch allows for availability, security and scalability without down-time or heavy maintenance operations.

SOC 2 Certified

Instaclustr is the only SOC 2 certified Managed service provider for Elasticsearch, ensuring that your data integrity is always protected according to strict industry recognised standards.

Monitoring

Our management console provides immediate access to the monitoring statistics you need to understand your real-time data stream.

24/7 Support

With us by your side you get 24/7 of technical support irrespective of your location.

Elasticsearch Key Features


Distributed RESTful search engine

Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. The distributed nature of Elasticsearch enables it to process large volumes of data in parallel, quickly finding the best matches for your queries.


Document Oriented

A document-oriented database is designed to store, retrieve, and manage document-oriented or semi-structured. In Elasticsearch there is no need for upfront schema definition. Schema can be defined for customization of the indexing process.


Scalability

Elasticsearch is designed as a distributed system which scales horizontally, providing the ability to expand your cluster while automatically balancing search and indexing.


Easy Application Deployment

Every feature of Elasticsearch is exposed as a REST API. Also, Elasticsearch provides support for various languages including Java, Python, PHP, JavaScript, Node.js, Ruby, and many more.


Near Real Time Search

Elasticsearch operations such as reading or writing data usually take less than a second to complete, thus, making Elasticsearch a near-real-time search platform, helpful for use cases such as application monitoring and anomaly detection.


Built on Apache Lucene

Each shard is a fully functional Lucene index and all the power of Lucene easily exposed through simple configuration / plugins.
Elasticsearch uses Lucene StandardAnalyzer for indexing for automatic type guessing and for high precision.

Ready to experience the power of Elasticsearch ?

Speak to an Instaclustr team member today.


Distributed RESTful search engine

Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. The distributed nature of Elasticsearch enables it to process large volumes of data in parallel, quickly finding the best matches for your queries.


Scalability

Elasticsearch is designed as a distributed system which scales horizontally, providing the ability to expand your cluster while automatically balancing search and indexing.


Document Oriented

A document-oriented database is designed to store, retrieve, and manage document-oriented or semi-structured. In Elasticsearch there is no need for upfront schema definition. Schema can be defined for customization of the indexing process.


Easy Application Deployment

Every feature of Elasticsearch is exposed as a REST API. Also, Elasticsearch provides support for various languages including Java, Python, PHP, JavaScript, Node.js, Ruby, and many more.


Near Real Time Search

Elasticsearch operations such as reading or writing data usually take less than a second to complete, thus, making Elasticsearch a near-real-time search platform, helpful for use cases such as application monitoring and anomaly detection.


Built on Apache Lucene

Each shard is a fully functional Lucene index and all the power of Lucene easily exposed through simple configuration / plugins.

Elasticsearch uses Lucene StandardAnalyzer for indexing for automatic type guessing and for high precision.

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