Simplifies Search and Analytics Across Diverse Data Sources
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--
Elastic N.V. (NYSE: ESTC), the company behind Elasticsearch and the
Elastic Stack, announced the general availability of version 1.0 of the
Elastic Common Schema (ECS), an open source specification developed with
support from the Elastic user community that provides a consistent and
customizable way for users to structure their event data in
Elasticsearch. ECS facilitates the unified analysis of data from diverse
sources so that content such as dashboards and machine learning jobs can
be applied more broadly, searches can be crafted more efficiently, and
field names can be recalled by analysts more easily.
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Kibana dashboard enabled by ECS that visualizes multiple sources of network data (Graphic: Business Wire)
“As our users continue to store new and more diverse data in
Elasticsearch, such as logs, metrics, and security events from cloud
resources, hosts, services, and network devices, the ability to ask
questions that span across these sources becomes even more important,"
said Shay Banon, founder and CEO of Elastic. “The Elastic Common Schema
provides a shared language for our community of users to understand
their data, collaborate to develop resources across the Stack, and more
quickly drill down to identify a potential attacker or determine the
root cause of an operational issue.”
Implementing ECS simplifies the analysis of disparate data sources,
supporting a wide range of use cases, including logging, security
analytics, and application performance monitoring. When fully adopted,
ECS helps users to more easily visualize, search, drill down, and pivot
through their data. ECS also streamlines the implementation of automated
analysis methods, including machine learning-based anomaly detection and
alerting.
ECS also streamlines the development of analytics content. Instead of
creating new searches and dashboards each time an organization adds a
data source with a new format, users can continue leveraging ECS-aware
searches and dashboards. ECS also makes it far easier for organizations
to directly adopt analytics content from other parties that use ECS,
whether Elastic, a partner, or an open source project.
“Corelight’s goal is to provide organizations access to key data,
particularly for network traffic monitoring, which is fundamental to
enterprise security," said Allen Male, Director of Strategic Alliances
and Partners for Corelight.
“Upon learning about the new Elastic Common Schema, we appreciated its
power and began working to support it. These joint efforts help
customers make use of enhanced capabilities that reduce their security
risk without additional analyst effort."
“I think ECS is really great for analysts who need to build a cohesive
story across many different sources,” said Bradford Dabbs, Solutions
Engineer at Perched.
“It gives users who are just getting started exploring a new data set a
baseline for where to start. They may not know much about their data
yet, but if they align with ECS as they start extracting fields, it will
save them a lot of headaches when it comes time to use the data.”
“ECS helps our team know what everything means,” said Tomas Chytil,
Product Manager at Tieto.
“Reducing this complexity should improve both the productivity of our
developers and the focus of our end-users.”
Learn More
About Elastic
Elastic is a search company. As the creators of the Elastic Stack
(Elasticsearch, Kibana, Beats, and Logstash), Elastic builds
self-managed and SaaS offerings that make data usable in real time and
at scale for search, logging, security, and analytics use cases.
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.

View source version on businesswire.com: https://www.businesswire.com/news/home/20190402005921/en/
Elastic
Deborah Wiltshire
press@elastic.co
Source: Elastic N.V.