Constructing a robust search engine functionality for your application or website is crucial to achieving effective monitoring and analysis. When discussing the best and most appropriate open-source search engines, two particularly popular solutions arise, OpenSearch and Solr. These solutions are very similar, offering the majority of the same features, capabilities, and use cases. However, there are differences between the two search engines that make them better tailored for particular scenarios.

Search powered AI and developer tools built for speed and scale Daily breakthroughs in large language models (LLMs) and generative AI have put developers at the forefront of the movement, influencing its direction and possibilities. In this blog, I’ll share how Elastic's search customers are using Elastic's vector database and open platform for search powered AI and developer tools to accelerate and scale generative AI experiences, giving them new avenues for growth.

Elastic Search 8.13 extends the capabilities that enable developers to use artificial intelligence and machine learning models to create fast and elevated search experiences. Integrated with Apache Lucene 9.10, measured vector search performance has exceeded 2x in benchmarks, extending the sophistication of searches that can be performed in near real time.

An analyst’s process often involves searching through a given set of data many times, refining the question and analytics performed each time. Cribl Search was originally designed to be stateless – executing each search from the original dataset provider(s) with every execution. However, a new feature has been introduced to allow searching into previous cached results, accelerating the analyst process for certain types of iterative search development.

What might you accomplish if you could easily search your data lakes without paying to move the data first? The most likely outcome is that you address a critical security incident quicker than ever, save your organization millions of dollars, get a promotion, and then go down in history as the best-looking, most talented analyst to have searched a storage bucket.

On a scale from walk-in-the-park → scaling Mount Everest, how easy is it for you to search your S3 buckets? Retrieving data to respond to security incidents, demonstrate compliance, or extract insights shouldn’t require jumping through hoops or overpaying for access.Cribl Search has native support for platforms like Amazon Security Lake, Amazon S3, Azure Blob, and Google Cloud Storage, enabling seamless data analysis right at its source.

Search engines are one of those things in life we take for granted. Whenever we’re looking for something, we throw a word or phrase into a search engine and, like magic, it gives us a list of matching results. It might not feel as magical nowadays because it’s something we do every day. But anyone who remembers the days of Alta Vista should understand how well we have it now.

When investing in technology, organizations should look for products and services that get them the best bang for their buck. So, who comes out on top when investing in search and logging solutions? Elasticsearch® surpasses OpenSearch in cost efficiency.

Are you drowning in data from disparate sources? Are you struggling to analyze it efficiently, sift through different formats, and catch crucial signals? You’re not alone. Cribl Search and Cribl Stream is a powerful combo that lets you unlock insights from vast data volumes – regardless of their source or format. Say goodbye to siloed searches and hello to holistic analysis.