Datadog Database Monitoring provides deep and
dedicated observability for the five most popular database
types
NEW
YORK, Dec. 2, 2024 /PRNewswire/ -- Datadog,
Inc. (NASDAQ: DDOG), the monitoring and security platform for
cloud applications, today unveiled that its Database Monitoring
product now observes MongoDB databases. With today's announcement,
Datadog Database Monitoring supports the five most popular database
types—MongoDB, Postgres, MySQL, SQL Server and Oracle.
Traditional monitoring tools typically only allow organizations
to monitor either their databases or their applications. This can
lead to slow and costly troubleshooting that results in frustration
from database and application teams, extended downtime and a
degraded customer experience. Datadog Database Monitoring enables
application developers and database administrators to troubleshoot
and optimize inefficient queries across database environments. With
it, teams can easily understand database load, pinpoint
long-running and blocking queries, drill into precise execution
details and optimize query performance to help prevent incidents
and spiraling database costs.
"Replication failures or misconfigurations can result in
significant downtime and data inconsistencies for companies, which
may impact their application performance and reliability. That's
why maintaining high availability across clusters with multiple
nodes and replicas is critical," said Omri
Sass, Director of Product Management at Datadog. "With
support for the top five database types in the industry, Datadog
Database Monitoring gives teams complete visibility into their
databases, queries and clusters so that they can maintain
performant databases and tie them to the health of their
applications and success of their businesses."
Datadog Database Monitoring helps teams:
- Ensure high availability of databases: By providing a
comprehensive list of database clusters alongside critical metrics
like queries per second, reads and writes per second and
replication details, teams can monitor overall cluster performance
at a glance, detect potential issues early and take preventative
measures.
- Optimize query and database performance: Teams track key
query performance metrics—like latency, execution time and volume
of data queried—to quickly detect long-running transactions,
high-impact blockers and missing indices while receiving proactive
recommendations to fix these issues.
- Resolve database and application issues faster: By
integrating database monitoring and application performance
monitoring, Datadog's unified platform correlates health metrics
and distributed traces with query metrics and explain plans in one
view in order to accelerate root cause analysis of high latency,
leading to faster triage and resolution of issues.
MongoDB is the world's leading modern document database
provider. MongoDB's document model streamlines the process of
building data-driven applications with a developer-friendly query
language and a flexible data model that is easy to work with and
easy to scale. The newly added support for MongoDB by Datadog
Database Monitoring makes it easier for joint customers to maximize
performance by optimizing deployment and infrastructure allocation,
for example, by analyzing resource usage and overlapping workloads
to make the most of available resources.
"As enterprises take advantage of today's increasingly
data-intensive workloads, it's critical that they have the tools
needed to deploy high-performing applications with complete
confidence," said Will Winn, Senior
Director of Partners at MongoDB. "Customers trust MongoDB for its
superior performance and flexibility, and now that Datadog Database
Monitoring supports MongoDB, ensuring high availability and
seamless performance of MongoDB database clusters is even
easier."
Datadog Database Monitoring's support for MongoDB is now
generally available. To learn more, please visit:
https://www.datadoghq.com/blog/mongodb-database-monitoring/.
About Datadog
Datadog is the observability and security platform for cloud
applications. Our SaaS platform integrates and automates
infrastructure monitoring, application performance monitoring, log
management, user experience monitoring, cloud security and many
other capabilities to provide unified, real-time observability and
security for our customers' entire technology stack. Datadog is
used by organizations of all sizes and across a wide range of
industries to enable digital transformation and cloud migration,
drive collaboration among development, operations, security and
business teams, accelerate time to market for applications, reduce
time to problem resolution, secure applications and infrastructure,
understand user behavior and track key business metrics.
Forward-Looking Statements
This press release may include certain "forward-looking
statements" within the meaning of Section 27A of the Securities Act
of 1933, as amended, or the Securities Act, and Section 21E of the
Securities Exchange Act of 1934, as amended including statements on
the benefits of new products and features. These forward-looking
statements reflect our current views about our plans, intentions,
expectations, strategies and prospects, which are based on the
information currently available to us and on assumptions we have
made. Actual results may differ materially from those described in
the forward-looking statements and are subject to a variety of
assumptions, uncertainties, risks and factors that are beyond our
control, including those risks detailed under the caption "Risk
Factors" and elsewhere in our Securities and Exchange Commission
filings and reports, including the Quarterly Report on Form 10-Q
filed with the Securities and Exchange Commission on May 8, 2024, as well as future filings and
reports by us. Except as required by law, we undertake no duty or
obligation to update any forward-looking statements contained in
this release as a result of new information, future events, changes
in expectations or otherwise.
Contact
Dan
Haggerty
press@datadoghq.com
View original content to download
multimedia:https://www.prnewswire.com/news-releases/datadog-database-monitoring-adds-deep-cluster--and-query-level-visibility-for-mongodb-302319099.html
SOURCE Datadog, Inc.