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As data continues to grow exponentially, businesses need powerful tools to search, analyze, and visualize their data efficiently. OpenSearch has emerged as a top choice for organizations seeking an open-source, scalable search and analytics engine. However, managing OpenSearch in-house can be complex, costly, and resource-intensive. That’s where hosted OpenSearch comes in.

If you're working with search and analytics, you’ve probably heard about OpenSearch—the open-source alternative to Elasticsearch. OpenSearch is a powerful tool, whether you're building a search engine, running log analytics, or implementing full-text search in your applications. And the best part? You can integrate it easily with Python.

If you’re considering OpenSearch for your search and analytics infrastructure, the first question that likely comes to mind is: what will it cost? OpenSearch, the powerful, open-source search engine and analytics platform, provides a highly scalable solution for businesses. However, while the software itself is free to use, there are still costs associated with hosting, maintaining, and scaling OpenSearch clusters.

Following our recent updates on faster item search and searching within custom data fields, we’re excited to announce another major improvement: nearly all standard data fields within Rollbar are now indexed and searchable!

Following our recent update on faster item search, we’re excited to introduce another powerful improvement to our search functionality: key/value searches for specific fields!

We’ve overhauled the search backend that powers the Item List UI and Item Search API. Item Search is now far more powerful, working with custom fields and nearly all the data you send Rollbar. Searches return quickly and return the results you'd expect.

OpenSearch Serverless simplifies search and analytics with auto-scaling, cost efficiency, and easy management, ideal for large-scale applications.

OpenSearch is an open source search and analytics suite that developers use to build solutions for search, data observability, data ingestion, security information and event management (SIEM), vector database, and more. It is designed for scalability, offering powerful full-text search capabilities and supporting various data types, including structured and unstructured data. OpenSearch has rapidly developed into a standalone platform with unique features and capabilities.