Google Cloud Platform Delivers Real-Time Search with Click-to-Deploy Elasticsearch
From the beginning, one of the goals of Elasticsearch was to build a search and analytics engine that could be used in any environment, with any kind of data. We know that today's modern businesses have a polyglot infrastructure, with mixed environments and multiple programming languages — from relational databases, key-value stores, IaaS platforms, and Apache Hadoop; to Ruby, Perl, PHP, Python, and Groovy — and we wanted to provide a software stack that could be utilized by anyone across an entire business.
We've achieved another milestone on that mission with today's announcement that Elasticsearch (plus Marvel!) is available as a click-to-deploy install on Google Compute Engine (GCE). This means that Elasticsearch can be automatically provisioned on GCE in minutes, giving businesses powerful search and immediate insights into the workloads they're running on Google's infrastructure — from full-text application search to analytics for operational insights. To give it a spin, head on over to https://cloud.google.com/solutions/elasticsearch/click-to-deploy.
It's been a big year for us in terms of being selected by a variety of key infrastructure players as the search and analytics engine they recommend to their customers. Over the summer, our Hadoop connector became certified on Cloudera Enterprise 5, making Elasticsearch compatible across all Apache-based Hadoop distributions thanks to previous partnerships with MapR and Hortonworks. Microsoft selected Elasticsearch as the underlying full-text search engine for its newly released Azure Search, and we also announced a close relationship with Cisco to provide real-time search and analytics to its Unified Computing System customers.
We couldn't be more thrilled, and humbled, that industry leaders like these, along with thousand of businesses worldwide (like Target, Mayo Clinic, Facebook, GitHub, Netflix, Verizon, and PayPal), continue to benefit from our software for mission-critical use cases. We look forward to continuing to help them mine and extract value from their most valuable asset: their data.