Today we are excited to share the latest developments in our ongoing partnership with Google Cloud, and what that means to you as you stream, store, search and analyze your data. Now our joint DevOps and DevSecOps customers can leverage native integrations to ship data to Elastic from BigQuery, Google Cloud Storage, and Pub/Sub without installing additional software or configuring YAML files. These integrations help you focus on what’s most critical to your business, instead of shouldering the operational overhead of installing and maintaining additional software and configurations.
In addition, our joint application developer customers can now leverage a Google Cloud Firestore extension to make it as frictionless as possible to add search capabilities to Firestore applications. Why spend time on operational overhead when you could be working to add fast, scalable, and relevant search capabilities to your mobile app?
In this blog you will learn about each of these integrations, common use cases, and where to go for help getting started. First, take a look at how Google Cloud and Elastic are committed to helping you get the most out of your data with these expanded integrations.
"The expanded partnership between Google Cloud and Elastic is exciting news for joint customers who wish to do more across analytics with seamless integration between Elastic and Dataflow, Pub/Sub, Firebase, Data Storage as well as BigQuery. Together we are helping customers accelerate time to insights."
“Elastic is committed to providing customers with a frictionless experience of Elastic on Google Cloud, giving them the simplest way to take advantage of the powerful search and analysis capabilities of Elasticsearch and the Elastic Stack right from within the Google Cloud console. These integrations help organizations focus on what is critical to their business while getting the most value out of their Elastic deployment.”