Use ML to unlock the power of your enterprise-ready, fully managed Elasticsearch — built with native integration into IBM Cloud.

IBM Cloud Databases for Elasticsearch is a fully managed Elasticsearch Service offering on IBM Cloud. Elasticsearch Service combines the flexibility of a semantic search engine with the indexing power of a JSON document database and Vector DB capabilities. IBM Cloud Databases for Elasticsearch comes with a full suite of capabilities to power your enterprise through integrated machine learning (ML) models. You can also bring your own machine learning pre-trained model and make use of specialised ML nodes, data types and search algorithms.

Elasticsearch's speed and flexibility make it ideal for time-sensitive use cases. With a number of built-in features, Elasticsearch can be used in a variety of ways to support both infrastructure monitoring and security analytics.

Benefits

• **Fully managed: **Developers can focus on building applications rather than handling backups, logging, monitoring, scaling, hardware setup and software patching.
• **ML to cut through data noise: **Get immediate value from machine learning with all the powerful out-of-the-box features of Elasticsearch. Make your enterprise data work harder with Elastic’s ML algorithms, specialist ML nodes and semantic search.
• **Serverless scaling: **IBM Cloud Databases for Elasticsearch allows you to scale disk and RAM independently to best fit your application requirements.
• **Open source compatible: **The service is compatible with Elasticsearch APIs, data formats and clients. Applications that already leverage Elasticsearch can use IBM Cloud Databases for Elasticsearch as a drop-in replacement.
• **Highly available: **The standard configuration includes three data members configured for high availability to provide a 99.99% SLA.
• **Automation aware: **Get to global scale with integrated, infrastructure-as-code tools, such as IBM Cloud Schematics with Terraform and Red Hat® Ansible® support at no additional charge.