With Amazon OpenSearch Service, choose from a selection of open source engine options. You can deploy and run the latest versions of OpenSearch, as well as 19 versions of ALv2 Elasticsearch (7.10 and earlier). The service also includes visualization capabilities with OpenSearch Dashboards and Kibana (7.10 and earlier).
Deployment and management
Can support dimension count of up to 16,000 for the vector search. And provide high performance for large scale vector data search with its own KNN algorithm implementation and distribution architecture.
Setup and configuration
Getting started with Amazon OpenSearch Service is easy. You can set up and configure your Amazon OpenSearch Service cluster using the Amazon Web Services Management Console or a single API call through the Amazon Web Services Command Line Interface (CLI). You can specify the number of instances, instance types, storage options, and modify or delete existing clusters at any time.
Amazon OpenSearch Service makes it easy to upgrade your OpenSearch and Elasticsearch clusters (up to version 7.10) to newer versions without any downtime, using in-place version upgrades. In-place upgrades eliminates the hassle of taking a manual snapshot, restoring it to a cluster running the newer version, and updating all your endpoint references.
Event monitoring and alerting
Amazon OpenSearch Service provides built-in event monitoring and alerting, enabling you to monitor the data stored in your cluster and automatically send notifications based on pre-configured thresholds. Built using the OpenSearch alerting plugin, this feature lets you configure and manage alerts using your Kibana or OpenSearch Dashboards interface and the REST API. You can receive notifications via custom webhooks and Amazon Simple Notification Service (SNS). You can also view cluster health metrics including number of instances, cluster health, searchable documents, CPU, and memory, as well as disk utilization for data and master nodes through Amazon CloudWatch, at no additional charge.
Support for multiple query languages
With Amazon OpenSearch Service, there’s no need for OpenSearch query domain-specific language (DSL) proficiency. Write SQL queries with OpenSearch SQL or use the OpenSearch Piped Processing Language (PPL), a query language that lets you use pipe (|) syntax, to explore, discover, and query your data. OpenSearch Dashboards also includes a SQL and PPL workbench.
Integration with open source tools
Amazon OpenSearch Service offers built-in OpenSearch Dashboards and Kibana (Elasticsearch version 7.10 and previous) and integrates with Logstash, so you can ingest and visualize your data using the open source tools you prefer. Perform trace analytics with Amazon OpenSearch Service’s support for the open source OpenTelemetry standard and continue to use your existing code with direct access to Elasticsearch APIs and plugins such as Kuromoji, Phonetic Analysis, Ingest Processor Attachment, Ingest User Agent Processor, and Mapper Murmur3.
With Amazon OpenSearch Service, you can securely connect your applications to your managed Elasticsearch (version 7.10 and previous) or OpenSearch environment from your Amazon Virtual Private Cloud (VPC) or via the public Internet, configuring network access using VPC security groups or IP-based access policies. You can also securely authenticate users and control access using Amazon Cognito, Amazon Identity and Access Management (IAM), or basic authentication with a username and password. Amazon OpenSearch Service leverages the OpenSearch security plugin, enabling you to define granular permissions for indices, documents, or fields. You can also extend Kibana with read-only views and secure multi-tenant support. Amazon OpenSearch Service also supports built-in encryption for data at-rest and in-transit, so you can protect your data when it is stored in your domain or in automated snapshots and transferring between nodes in your domain. Amazon OpenSearch Service is compliant with PCI DSS, SOC, and ISO standards, making it easy for you to build applications that meet compliance requirements.
Hot storage allows for fast retrieval of frequently accessed data. UltraWarm is a warm storage tier that complements Amazon OpenSearch Service’s hot storage tier by providing less expensive storage for older and less-frequently accessed data while still providing an interactive querying experience. UltraWarm stores data in Amazon S3 and uses custom, highly-optimized nodes, purpose-built on the Amazon Nitro System to cache, pre-fetch, and query that data quickly.
With UltraWarm, you can retain up to 3 PB of data in a single Amazon OpenSearch Service cluster while reducing cost per GB by nearly 90% compared to the hot storage tier. You can also easily query and visualize the data in your Kibana (version 7.10 and previous) or OpenSearch Dashboards interface. Analyze both your recent (weeks) and historical (months or years) log data without spending hours or days restoring archived logs.
Cold storage is the low-cost storage option for Amazon OpenSearch Service, which allows you to retain infrequently accessed data in Amazon S3 and only pay for compute when you need it. Cold storage builds on UltraWarm, which provides specialized nodes that store data in Amazon S3 and uses a sophisticated caching solution to provide an interactive experience. By decoupling compute resources from storage, cold storage lets you retain any amount of data in your Amazon OpenSearch Service domain while reducing cost per GB to near Amazon S3 storage prices. Detach historical or infrequently accessed warm data while not in use and free up compute to help lower costs. Discover and selectively attach your cold data to your domain’s UltraWarm nodes in seconds with your choice of a Kibana (version 7.10 and previous) or OpenSearch Dashboards interface and easy-to-use APIs. With cold storage, you can query the attached cold data with a similar interactive experience and performance as your warm data.