Choosing the right tool is crucial for ensuring smooth operations, maintaining system performance, and preventing downtime. Two of the leading platforms in this space are OpenText AI Operations Management (Operations Bridge) and Datadog. Both solutions are designed to provide real-time monitoring, streamline incident response, and improve the overall visibility of an organization’s IT infrastructure. While they share similar goals, they differ in their approach, pricing, and the specific needs they address.
This guide provides a detailed comparison between Operations Bridge and Datadog to help organizations understand the strengths and weaknesses of each tool. Operations Bridge is known for its comprehensive monitoring and automation capabilities, making it a strong choice for large, complex environments that want to blend systems and technologies. Datadog, on the other hand, shines with its cloud-native, easy-to-use interface and scalability, making it a popular choice for organizations that prioritize simplicity and flexibility in managing modern cloud-based and hybrid environments.
This guide will delve into the features, pricing, integration capabilities, and use cases of both tools, providing a thorough analysis to help IT teams make an informed decision about which solution is best suited for their needs.
Operations Bridge highlights
Operations Bridge was a product of Micro Focus. That company was bought by OpenText in January 2023. The new owner of Operations Bridge is based in Canada and had a revenue of $5.77 billion in 2024; OpenText has 22,900 employees and is headed by Mark Barrenechea.
OpenText renamed Operations Bridge as AI Operations Management but is aware that the user community is still familiar with the Operations Bridge name and so also uses that old name to this day.
OpenText AI Operations Management is an advanced solution designed to enhance IT operations through the power of artificial intelligence. By leveraging AI and machine learning, it enables organizations to automate and streamline their IT operations, reducing manual intervention and accelerating response times to incidents. This tool is built to monitor and optimize an organization’s entire IT infrastructure, including networks, servers, applications, and cloud environments.
It provides real-time insights into system performance, detecting potential issues before they impact operations, and allowing businesses to proactively manage and resolve problems. One of the core features of OpenText AI Operations Management is its ability to analyze vast amounts of data from different sources, such as system logs, performance metrics, and user behavior. This data-driven approach allows the platform to identify patterns and anomalies that might otherwise go unnoticed.
The AI engine continuously learns from the data it processes, improving its detection capabilities over time. This means that the platform becomes more accurate and efficient in pinpointing issues, ultimately helping IT teams to reduce downtime and improve overall service quality.
Another significant aspect of OpenText AI Operations Management is its integration with other enterprise systems. It connects with existing IT monitoring tools, security platforms, and cloud management solutions, ensuring that businesses can enhance their current workflows without disrupting their operations.
The platform also supports automated workflows, allowing organizations to automate responses to specific incidents based on predefined rules. This reduces the reliance on manual intervention, speeds up resolution times, and ensures that IT teams can focus on more strategic tasks.
With its comprehensive analytics and automation capabilities, OpenText AI Operations Management is well-suited for organizations looking to future-proof their IT operations. The platform can scale with growing business needs, making it a versatile solution for both small businesses and large enterprises. By adopting AI-powered operations management, organizations can ensure better performance, increased reliability, and improved customer satisfaction, all while optimizing their IT resources.
Key information:
- Operations Bridge is a SaaS solution that can integrate the monitoring of hybrid systems and multiple sites
- Operations Bridge applies AI processes to detect performance anomalies before they impact the system
- Operations Bridge provides a synthetic modeling service to run through specific use cases and identify issues
- Operations Bridge includes automated system detection and can implement automated remediation actions
- The users of Operations Bridge include Vodaphone, TIM Brazil, Swiss Mobiliar, Banco Sabadell
Datadog highlights
Datadog was started up by began operations in 2010 when Olivier Pomel and Alexis Lê-Quôc 2010 created it. The pair acquired the code for Datadog in 2009 from Server Density. The Datadog system is the only product of the company, which has the same name. Both founders still run the company – Pomel is its CEO, and Lê-Quôc is the Chief Technology Officer. The company was listed on NASDAQ in 2019.
Since 2010, the code for Datadog has been continually under development. It has been completely rewritten from its original form, which was written in Python. Now Datadog is written in Go, and it is a hosted SaaS platform.
Datadog is a monitoring system that watches over networks, servers, applications, cloud platforms, and Web assets. The system gathers information from agent programs that need to be installed on each monitored server. Then, the monitor performs a scan of each monitored system to compile hardware and software inventories. The network service is available to watch over network devices with SNMP procedures, and there is also an option to track traffic flows. The network monitor will also create a network topology map.
More recently, Datadog has expanded to offer more services away from the standard system monitoring package. Datadog now has an AI engine, which is called Watchdog. This is mainly used for application monitoring. The application performance monitor implements application dependency mapping and applies AI when several applications use a shared resource.
Datadog also uses AI and dependency mapping to analyze API functions and microservices. In addition, the platform offers distributed tracing to track the performance of serverless systems. Other new services from Datadog are a log manager and a security monitor that uses log data for source information – this is a SIEM. The platform also offers a vulnerability manager and live hacker protection for Web assets. Among other tools available on the Datadog platform are synthetic and accurate user monitoring for websites. There is also an Incident Management service available for Help Desk technicians or development teams.
A cloud-based system, Datadog can monitor any system anywhere, and it can consolidate the monitoring of several systems. In addition, it includes cloud platform monitoring for Docker AWS, Azure, and Google Cloud Platform.
Key information:
- Datadog is a cloud-based system that uses local agents to gather data
- Datadog monitors on-site, cloud, and hybrid systems and will unify the monitoring of those separate systems
- Datadog implements security monitoring, including a SIEM and a cloud vulnerability manager
- Datadog automatically creates network topology maps and hardware and software inventories
- The customers of Datadog include 21st Century Fox, Samsung, Whole Foods, and Peloton
Operations Bridge vs. Datadog head-to-head
Getting to know the Operations Bridge and Datadog systems helps to look at each platform’s packages. The plans of the two systems are structured differently and, although they cover much the same tasks, the plan structure might sway you in the direction of one service or the other.
Operations Bridge
Operations Bridge is offered in three packages:
- Express – Straightforward data collection and display plus Web availability testing
- Premium – Detailed monitoring data collection and analysis
- Ultimate – Comprehensive monitoring with AI assessment and automated remediation
The three plans include an increasing number of services for a progressively higher price. The modules included in each plan are:
Express
- Agentless Event and Performance Management
- Web and URL monitoring
- Enterprise chatbot
- Synthetic end-user experience monitoring
Premium
- Agentless event and performance management
- Web and URL monitoring
- Agent-based deep monitoring
- Domain-specific management pack content
- Event automation and reduction
- Service impact and KPI assessment
- Topology-based event correlation
- Enterprise chatbot
- Synthetic end-user experience monitoring
- SaaS application monitoring
- System availability management and service level management
- Business value dashboards
- Standard server reporting
Ultimate
- Agentless event and performance management
- Web and URL monitoring
- Agent-based deep monitoring
- Domain-specific management pack content
- Event automation and reduction
- Service impact and KPI assessment
- Topology-based event correlation
- Flexible runbook remediation and orchestration
- Event and exploratory analytics
- Capacity analytics and optimization
- Operational discovery
- Enterprise chatbot
- Synthetic end-user experience monitoring
- SaaS application monitoring
- System availability management and service level management
- Business value dashboards
- Standard server reporting
- Cross-domain reporting content
The performance monitoring services in all plans can monitor the following database management systems:
- Cassandra
- Couchbase
- Apache CouchDB
- Informix
- Marklogic
- Microsoft SQL Server
- MongoDB
- MySQL
- Oracle Database
- Oracle RAC
- PostgreSQL
- Riak
- SAP Sybase ASE
- SAP HANA
The endpoint operating systems that the Operations Bridge system can monitor are:
- AIX
- Linux
- Windows
- Hyper-V
- VMWare vSphere
- XEN
It will monitor the following cloud platforms:
- AWS
- Azure
- Google Cloud Platform
- Kubernetes
- OpenStack
Datadog
Datadog has 12 areas of service from its SaaS platform. Some of these sections offer several packages, so there are more than 12 modules. These are:
- Infrastructure – Monitor for servers and services, including virtualizations, containers, and cloud platforms. Add-ons available are the monitoring of AWS Fargate data and IoT device monitoring.
- Application Performance Monitoring – This includes application dependency mapping and uses AI to identify when commonly used resources are overloaded.
- Continuous Profiler – Only available together with the Application Performance Monitoring service as a higher APM plan, this module displays code as it runs and analyzes performance. It is for use by application developers.
- Database Monitoring – Monitors MySQL, PostgreSQL, Amazon RDS, Amazon Aurora, and Google Cloud SQL.
- Real User Monitoring – Live website performance monitoring feeding through to an Error Tracker module.
- Synthetic Monitoring – API tests for automated system checks and Browser-based tests to exercise interactive elements in Web pages.
- Serverless Monitoring – Distributed tracing for microservices with AI-based resource requirement predictions.
- Network Performance Monitoring – Network traffic analysis for physical networks.
- Network Device Monitoring – SNMP-based network device status checks.
- Log Management Ingest – Collects, consolidates, displays, files, and searches through log messages.
- Retain or Rehydrate – A log archive management system.
- Security Monitoring – A SIEM system that performs breach detection by looking through log files.
- Cloud Security Posture Management – A vulnerability scanner for cloud services that operate continuously.
- Cloud Workload Security – Real-time protection for Internet-based assets, including file integrity monitoring and hacker activity detection.
- Incident Management – An issue tracker and team management package for use as a Help Desk platform or a collaboration and task management tool for development teams.
Pros & Cons
Operations Bridge
Pros:
- Provides live visibility into your network, infrastructure, and assets
- Leverages AI to improve analytics and reduce false positives alerts
- Built for fast remediation – features over 8000 runbooks
- Best for MSPs and enterprise networks
Cons:
- Smaller organizations won’t use some of the multi-tenant features in the product
Datadog
Pros:
- Leverages machine learning to improve alerting, reporting, and queue management
- Excellent dashboards – great for solo admins or NOC teams
- Can easily see historic metrics as well as a live view of your IT assets
- Highly flexible – scales well across various environments
Cons:
- Would like to see a longer trial period for in-depth testing
Operations Bridge vs. Datadog: prices
AI Operations Management prices
OpenText doesn’t publish a price for AI Operations Bridge. The company will host the software or you can choose to have it installed on your own AWS or Azure account. You need to contact Sales to get a price.
Datadog prices
The prices for Datadog modules are:
- Infrastructure: Free – $0, Pro – $15, Enterprise – $23 per host per month
- Infrastructure add-ons: AWS Fargate data monitoring – $1 per task, IoT device monitoring – $5 per device
- Application Performance Monitoring: $31 per host per month
- Application Performance Monitoring + Continuous Profiler: $40 per month
- Database Monitoring: $70 per database per month
- Real User Monitoring: $15 per 10,000 sessions per month
- Synthetic Monitoring: API Tests – $5, Browser Tests – $12 for every 1,000 test runs per month
- Serverless Monitoring: $5 per million invocations per month
- Network Performance Monitoring: Network Performance Monitoring $5 per device per month
- Network Device Monitoring: $7 per device per month
- Security Monitoring: $0.20 per GB of throughput per month
- Cloud Security Posture Management: $7.50 per host per month
- Cloud Workload Security: $15 per host per month
- Log Management Ingest: $0.10 per GB of throughput
- Log Management Retain or Rehydrate: $1.70 per million log events per month
- Incident Management: $20 per user per month
Operations Bridge vs. Datadog: free trial
OpenText doesn’t offer a free trial, but you can get a demo of AI Operations Management.
Datadog offers a 14-day free trial on all of its modules.
Operation Bridge vs. Datadog: the verdict
Both of these monitoring systems are delivered as SaaS platforms, and both have impressive features. However, your decision on which is best for you depends on your requirements. For example, Operation Bridge can monitor more database management systems – if you are running Oracle databases, Datadog will be no use to you. Similarly, if you want a SIEM system, Datadog would be your best option. However, this is not the only SIEM in the market, so you should also check out the 10 Best SIEM Tools for 2021.
Both Operation Bridge and Datadog are good system monitoring tools. However, deciding which is best for your business will come down to the monitoring capabilities, look and feel package structure, and price that each system offers.
