Amazon OpenSearch Service Integrations

Amazon OpenSearch Service Integration with Zero-ETL

As data volumes continue to grow exponentially, organizations are increasingly finding it difficult to derive critical business and operational insights from their data. They struggle to keep pace with the demands of data ingestion, data transformation, and trend analysis. Siloed data sources, inefficient ETL processes, and resource constraints hinder organizations from using their data effectively.

Organizations want to derive insights from their data without having to worry about moving or duplicating the data, or having to push the data through operationally complex tools and processes. Organizations use custom tools to gather, standardize, and store data for business insights that sometimes require rare specialists to extract value from this data. Our customers want a simple, affordable solution that works for all users without extensive training, avoids data duplication, and eliminates data transfer costs.

With Amazon OpenSearch Service Zero-ETL integrations and ingestion capabilities, customers can now extend the familiar full text search capabilities beyond the boundaries of their OpenSearch Serverless collections by querying external data sources directly. Zero-ETL in Amazon OpenSearch Service helps you simplify your data integration process, enables real-time data analysis, reduces infrastructure complexity, and provides a scalable and cost-effective solution for ingesting and analyzing data from various AWS data sources. This reduces operational complexities, lowers costs, and enables you to unlock the full potential of your data so you can make faster, more informed decisions.

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Key integrations of OpenSearch

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Streamline your data analytics process by eliminating the need for complex ETL pipelines when working with your Amazon S3 data lake, reducing operational complexity and costs. Learn more

Eliminate the need for custom code or complex data pipelines when using advanced search capabilities such as full-text and vector search by leveraging the zero-ETL integration between Amazon OpenSearch Service and Amazon DynamoDB, reducing operational burden and costs associated with keeping data in sync. Learn More

Utilize advanced search capabilities (such as fuzzy search, semantic search, and more) on your Amazon DocumentDB documents using the OpenSearch API. With this integration, you can also uniquely search across collections and other non-English languages. Learn More

Amazon OpenSearch Service simplifies the data ingestion process, allowing you to transfer data from various sources into your OpenSearch cluster. Whether you're dealing with structured databases, unstructured log files, or real-time streaming data, our connectors enable you to consolidate your data into a unified platform offering scalability and cost-effectiveness. 

Collect, transform, and route data seamlessly to your OpenSearch Service domains. With its serverless architecture, OpenSearch Ingestion Service automatically scales to meet the processing needs of your ingest workloads, ensuring a smooth and efficient data pipeline. Learn more

Convert raw streaming data from various sources into the required formats for your Elasticsearch or OpenSearch index, and load it seamlessly to Amazon OpenSearch Service without building custom data processing pipelines. Use the pre-built Lambda blueprints in Amazon Kinesis Firehose for converting common data sources like Apache and system logs into JSON and CSV formats, and offers automatic job retries and raw data backup capabilities. Learn more

Deploy Logstash on Amazon EC2 and set up your Amazon OpenSearch Service domain as the backend store for all logs coming through your Logstash implementation. Logstash supports a library of pre-built filters to easily perform common transformations such as parsing unstructured log data into structured data through pattern-matching; renaming, removing, replacing, and modifying fields in your data records; and aggregating metrics. Learn more

Directly query and visualize Amazon CloudWatch Logs data in near real-time using Amazon OpenSearch Service without complex data pipelines or having to export or transform the data first. This integration centralizes log data collection and storage, leveraging the scalable ingestion and storage of CloudWatch Logs along with the advanced analytics capabilities of OpenSearch Service.

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Simplify device-to-cloud connectivity and enable secure data exchange between IoT devices, such as consumer appliances and cloud applications. Using the AWS Management Console you can configure AWS IoT to load the data directly to Amazon OpenSearch Service, enabling you to provide your customers near real-time access to IoT data and metrics. Learn More

Seamless integration between Amazon Security Lake and Amazon OpenSearch Service, allows you to search and analyze your security data in-place without data integration hurdles. This helps reduce complexity, operational overhead, and cost. Using OpenSearch Services, you can run your security investigation queries directly against your data in Security Lake, and then accelerate that data on-demand for quick, iterative data analysis using the rich and tailored OpenSearch Service capabilities.

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OpenSearch includes certain Apache-licensed Elasticsearch code from Elasticsearch B.V. and other source code. Elasticsearch B.V. is not the source of that other source code. ELASTICSEARCH is a registered trademark of Elasticsearch B.V.