Search with OpenSearch

Oracle Cloud Infrastructure (OCI) Search with OpenSearch is a managed open source service that makes it easy for you to ingest, search, visualize, and analyze your data.

See OCI Search with OpenSearch in action (4:26)
OCI Search with OpenSearch is upgraded to v2.11 and delivers easy access to the latest AI innovations

OpenSearch is upgrading to version 2.11, delivering the latest open source innovations. This update introduces enhanced AI capabilities through retrieval-augmented generation (RAG) pipelines, conversational and semantic search functionalities, and advanced security analytics and observability features.

Learn more about the release

Why OCI Search with OpenSearch?

What customers are saying about OCI Search with OpenSearch


  • “At NetSuite, we’ve witnessed firsthand the transformative power of the OCI Search with OpenSearch service. It has been instrumental in deploying a monumental cross-cluster system: 30 clusters, 4,000 total nodes, and almost 30 PB of data available to unified search. OCI’s commitment has been a cornerstone of our success, marking a milestone in our journey and setting a high standard for technological partnerships. We are immensely thankful for OCI's role in this groundbreaking project and eagerly anticipate future collaborative milestones.”

    John Cherniavsky
    Vice President, Infrastructure Development, NetSuite

Benefits of OCI Search with OpenSearch

  • The most powerful open source search engine: OpenSearch is forked from Elasticsearch and Kibana and contributed to by numerous companies, including Oracle and AWS.
  • Fully managed service: We remove the operational burden of managing search infrastructure by automating typical maintenance activities, including patching, updating, backups, and no-downtime resizing.
  • Optimized performance: With OCI flexible shapes you can build any combination of CPU and RAM to optimize your performance.
  • Low cost: We offer competitive pricing with a very low management fee.
  • Fast migration: Migrating from an existing OpenSearch deployment—whether self-managed or hosted—is quick. Restore from a working backup configuration and/or point APIs to an OpenSearch endpoint.

OCI Search with OpenSearch is a fully managed open source service that makes it easy to deploy, operate, and scale OpenSearch on customizable infrastructure. It offers near real-time search capabilities as well as monitoring and analysis of log and application data, deep observability, and website search.

how oci search works diagram
This image shows a representation of how OCI Search with OpenSearch works. On the left, there are different types of data that can be input into the Search instance, including text files, images, social media artifacts, graphs, structure data, and unstructured data. These inputs can be searched and analyzed in near real time once they are ingested into the Search with OpenSearch cluster. The Search with OpenSearch cluster itself is fully managed by Oracle, including maintaining the open-source OpenSearch software, and backing up, provisioning, resizing, and patching the cluster. Use cases for this service include building speedy in application search, monitoring health, security and performance of your environment, and visualizing and analyzing your log data to achieve business insights.

Learn how to store and index data on OCI Search with OpenSearch to build in-application search capabilities.


in-application search diagram
This image shows the architecture for using Oracle Cloud Infrastructure for OpenSearch to build in-application search functionality in cloud applications. It comprises an OCI region and an on-premises data center, connected by a site-to-site VPN. The OCI region contains a single availability domain and an OCI for OpenSearch instance. The OCI region also contains monitoring, auditing, and identity services. The single availability domain contains two fault domains within a VCN that extends into the region and spans a public subnet and a private subnet. Within the public subnet, there is a load balancer tier containing an active load balancer in fault domain 1 and a standby load balancer in fault domain 2. The public subnet also contains a load-balanced web server tier. There is an application server in each fault domain. The private subnet contains a single MySQL database server in fault domain 1. Each subnet is insulated within the VCN by a routing table and security list. The on-premises data center comprises the customer premises equipment and a customer network, which contains an application and a MySQL database instance. A user gains access to the OCI region through an Internet Gateway on the VCN and is directed to the active load balancer in the public subnet. This load balancer directs traffic to the available web application in that tier, which communicates with both the MySQL database server and the OCI for OpenSearch instance. Traffic between the OCI region and an on-premises data center is over a site-to-site VPN.

Learn how you can use OCI Search with OpenSearch to analyze your logs.


aggregate logs diagram
This image shows a tenancy with an Oracle Cloud Infrastructure (OCI) Region having OpenSearch, IAM, Vault, and three availability domains inside a Compartment. The availability domains have the following components inside a VCN: Public Subnet (10.3.31.0/24) with a Load Balancer across all three availability domains. Private subnet (10.0.32.0/24) with a VM instance, Filebeat output, and Logstash instance in Availability Domain 1 and Availability Domain 3. Public Subnet (10.0.30.0/24) with a Bastion host in Availability Domain 2. The user accesses the VCN via a WAF and an Internet Gateway. A Customer Data Center with Servers connects to the Logstash instance via Site to Site VPN and a Dynamic Routing Gateway.
MARCH 13, 2024

OCI Search with OpenSearch 2.11 delivers easy access to latest AI innovations

Carter Shanklin, Senior Director, Product Management, Oracle

Today, we’re announcing the general availability of version 2.11 in Oracle Cloud Infrastructure (OCI) Search with OpenSearch. This update introduces AI capabilities through retrieval-augmented generation (RAG) pipelines, vector databases, conversational and semantic search enhancements, security analytics, and observability features.

Read the full post

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