List of Datadog Observability Platform Customers
Datadog
620 8th Ave 45th Floor,
New York, 10018, NY,
United States
New York, 10018, NY,
United States
1 866-329-4466
Professional Services
5200
$1.8B
Since 2010, our global team of researchers has been studying Datadog Observability Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Datadog Observability Platform for Database Performance Monitoring from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Datadog Observability Platform for Database Performance Monitoring include: Asian Development Bank, a Philippines based Banking and Financial Services organisation with 3381 employees and revenues of $2.17 billion, Olo, a United States based Professional Services organisation with 685 employees and revenues of $283.0 million, Forbes Media, a United States based Media organisation with 500 employees and revenues of $100.0 million, Glovo Spain, a Spain based Distribution organisation with 700 employees and revenues of $35.0 million and many others.
Contact us if you need a completed and verified list of companies using Datadog Observability Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Datadog Observability Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Asian Development Bank | Banking and Financial Services | 3381 | $2.2B | Philippines | Datadog | Datadog Observability Platform | Database Performance Monitoring | 2019 | n/a |
In 2019, Asian Development Bank implemented Datadog Observability Platform for Database Performance Monitoring. The deployment targeted database and platform operations to centralize visibility into database performance across RHEL servers and virtualized infrastructure managed by the bank's system administrators.
The Datadog Observability Platform was configured to collect metrics, traces, and logs relevant to database performance monitoring, including query latency signals, host resource utilization, and application-level traces where available. Configuration and automation work drew on existing Linux system administration practices, using shell scripting and Red Hat Satellite for build, maintenance, patching, and consistent agent provisioning.
Integrations tied Datadog telemetry into the broader infrastructure stack, coexisting with Nagios Monitoring for alert routing, VMware vSphere with Site Recovery Manager customization for virtual infrastructure context, Oracle VM for database host telemetry, and Azure for cloud-hosted resources. This integration approach unified telemetry so Database Performance Monitoring in Datadog informed database administrators, platform operations, and infrastructure teams across the Philippines operations.
Operational governance emphasized standardized monitoring configurations, documented alerting runbooks, and escalation workflows maintained by the Linux System Administrators responsible for build, maintenance, and monitoring. The implementation narrative positions Asian Development Bank Datadog Observability Platform Database Performance Monitoring as the central telemetry layer for incident detection and capacity management processes.
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Forbes Media | Media | 500 | $100M | United States | Datadog | Datadog Observability Platform | Database Performance Monitoring | 2023 | n/a |
In 2023, Forbes Media deployed the Datadog Observability Platform to gain end-to-end observability across its cloud and containerized stack. The Datadog Observability Platform was applied within the Database Performance Monitoring category to extend database-level visibility across Forbes' digital publishing operations in the United States.
The implementation centers on Datadog Database Monitoring as part of a unified observability stack, combining metrics, traces, and logs to correlate database performance with application and infrastructure signals. Configuration focused on database-level instrumentation, query-level analytics, and alerting tuned to publishing workloads, leveraging Database Performance Monitoring workflows for diagnostics and performance tuning.
Telemetry was ingested from the CDN layer down through cloud services, container orchestration, and backend database clusters to create end-to-end traces and consolidated dashboards. This deployment supported platform engineering, site reliability engineering, and engineering operations teams responsible for live content delivery and publishing pipelines.
Forbes documented outcomes tied to the implementation, citing a 2 to 3 percent reduction in cloud costs, roughly a 10 percent improvement in root cause analysis speed, and maintained uptime near 99.5 percent for digital publishing services. The Datadog Observability Platform with Database Monitoring therefore serves as the primary monitoring layer connecting CDN performance to database health for Forbes Media.
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Glovo Spain | Distribution | 700 | $35M | Spain | Datadog | Datadog Observability Platform | Database Performance Monitoring | 2022 | n/a |
In 2022, Glovo Spain implemented the Datadog Observability Platform Database Performance Monitoring to gain query-level visibility during a migration to microservices across its Europe/MENA/APAC operations. The deployment was focused on reducing database-driven outages and providing per query instrumentation and performance telemetry for production data stores.
The Datadog Observability Platform implementation emphasized Database Performance Monitoring capabilities, including query-level visibility, query analytics, slow query identification, and correlation of database metrics with traces and logs. DBM was used alongside Datadog APM, Infrastructure Monitoring and Log Management to enable diagnostic workflows that connect database performance to application traces and host resource metrics.
Operational coverage included Glovo engineering, platform and SRE teams responsible for microservices and database operations across Europe, MENA and APAC, with Database Performance Monitoring feeds consolidated into centralized observability dashboards and alerting. Architecture integrated DBM agents and telemetry into the existing Datadog pipeline to support multi-signal troubleshooting during the migration.
The rollout took place during the microservices migration and prioritized query-level monitoring and cross signal incident response using the Datadog Observability Platform Database Performance Monitoring and adjacent observability modules. The deployment reduced database downtime from approximately 3 hours to 0 and lowered overall database CPU usage from 65% to 60%.
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Olo | Professional Services | 685 | $283M | United States | Datadog | Datadog Observability Platform | Database Performance Monitoring | 2021 | n/a |
In 2021 Olo implemented the Datadog Observability Platform to address rising database query times within its restaurant-ordering platform, using the solution under the Database Performance Monitoring category. The deployment targeted investigation workflows across application and database tiers supporting Olo services in the United States, with a focus on API driven order processing and throughput challenges.
The implementation centered on Datadog Database Monitoring and the Datadog Continuous Profiler modules, using Database Monitoring to instrument query performance and rule out the database as the root cause, and Continuous Profiler to trace CPU and execution hotspots in application code. Datadog Observability Platform configurations captured query fingerprints, execution plans, and profiling stacks to map slow queries to application level behavior and a specific mapping bug.
Operational coverage included live profiling of API driven services and database instances that support order flows, enabling cross tier correlation between DBM telemetry and profiler samples. The work changed troubleshooting workflows by shifting root cause analysis to combined database telemetry and continuous application profiling, improving incident isolation between infra and application teams.
Outcomes from the Datadog Observability Platform implementation included using Database Monitoring to eliminate the database as the root cause and using Continuous Profiler to identify an application level mapping bug, which reduced the impact of slow queries and increased throughput for Olo API driven services.
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Buyer Intent: Companies Evaluating Datadog Observability Platform
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Datadog Observability Platform Coverage
Datadog Observability Platform is a Database Performance Monitoring solution from Datadog.
Companies worldwide use Datadog Observability Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Asian Development Bank, Olo, Forbes Media and Glovo Spain are recorded users of
Datadog Observability Platform for Database Performance Monitoring.
Companies using Datadog Observability Platform are most concentrated in Banking and Financial Services, Professional Services and Media, with adoption spanning over 21 industries.
Companies using Datadog Observability Platform are most concentrated in Philippines, United States and Spain, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Datadog Observability Platform across Americas, EMEA, and APAC.
Companies using Datadog Observability Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 75%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 0%.
Customers of Datadog Observability Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Datadog Observability Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Performance Monitoring.