Elastic Announces Native Integration with Google Cloud Dataflow in Elastic Cloud, and Enhancements to Runtime Fields in Elasticsearch and Kibana
September 24 2021 - 12:00PM
Business Wire
Simplifying Data Management and Onboarding in
the Elastic Stack and Elastic Cloud
- Delivering faster data ingestion with Google Cloud
Dataflow
- Giving users new ways to explore their data with the
flexibility of schema on read and schema on write
Elastic (NYSE: ESTC) (“Elastic”), the company behind
Elasticsearch and the Elastic Stack, announces new capabilities and
updates to the Elastic Stack and Elastic Cloud to simplify data
management and onboarding for customers and enable them to achieve
faster data insights.
New capabilities include a native Google Cloud data source
integration with Google Cloud Dataflow, providing customers with
faster data ingestion in Elastic Cloud and a simplified data
architecture. Using Google Cloud’s native serverless ETL service,
this integration allows users to quickly and securely ingest
Pub/Sub, Big Query, and Cloud Storage data directly into their
Elastic Cloud deployments.
Support for Google Private Service Connect, now generally
available, provides private connectivity from Google Cloud virtual
private clouds to Elastic Cloud deployments. Customers can now
privately and securely connect their Elastic Cloud deployments to
their Google Cloud environments using Private Service Connect
endpoints, ensuring their data is not exposed on the open
internet.
Updates to Elasticsearch and Kibana include enhancements to
runtime fields, giving users new ways to explore their data with
the flexibility of schema on read and schema on write for
onboarding and searching new data and delving into ad hoc
analysis.
Composite runtime fields enables users to streamline field
creation using one script to output multiple fields, making it
easier and more intuitive for users to ingest new data for faster
insights. Additionally, a new preview pane in the runtime fields
editor enables users to test and preview new fields before they are
created and also includes better error handling for the editor to
streamline and accelerate the field creation process.
For more information read the Elastic blog about what’s new in
Elasticsearch, Kibana, and Elastic Cloud for 7.15.
About Elastic:
Elastic is a search company built on a free and open heritage.
Anyone can use Elastic products and solutions to get started
quickly and frictionlessly. Elastic offers three solutions for
enterprise search, observability, and security, built on one
technology stack that can be deployed anywhere. From finding
documents to monitoring infrastructure to hunting for threats,
Elastic makes data usable in real time and at scale. Thousands of
organizations worldwide, including Cisco, eBay, Goldman Sachs,
Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia,
and Verizon, use Elastic to power mission-critical systems. Founded
in 2012, Elastic is a distributed company with Elasticians around
the globe and is publicly traded on the NYSE under the symbol ESTC.
Learn more at elastic.co.
The release and timing of any features or functionality
described in this document remain at Elastic’s sole discretion. Any
features or functionality not currently available may not be
delivered on time or at all.
Elastic and associated marks are trademarks or registered
trademarks of Elastic N.V. and its subsidiaries. All other company
and product names may be trademarks of their respective owners.
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version on businesswire.com: https://www.businesswire.com/news/home/20210924005065/en/
Chloe Guillemot Elastic Public Relations PR-Team@elastic.co
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