

Datadog and BMC Helix Operations Management with AIOps are leading competitors in IT monitoring and management. Datadog has an edge in integration options and user-friendly monitoring setup, while BMC Helix focuses on AI-driven monitoring and cost-effective solutions.
Features: Datadog integrates seamlessly with a multitude of platforms, offers custom metrics and dashboards, and enables intuitive tag usage for efficient monitoring. BMC Helix excels with AI-driven monitoring capabilities, predictive analytics, and supports Zero Trust Architecture, providing comprehensive asset management insights.
Room for Improvement: Datadog could improve its automated alerting and log management. Enhancing pricing transparency and real-time metrics would also benefit users. BMC Helix needs improved documentation and modern AI integrations, and should ensure users are prepared for its advanced ITSM functionalities.
Ease of Deployment and Customer Service: Datadog offers robust cloud-based deployment with responsive customer service, though consistency in support is needed. BMC Helix supports hybrid and on-premises deployments, focusing on user-friendly service and fast response times to maintain high technical support standards.
Pricing and ROI: Datadog’s pricing is flexible yet complex, with costs increasing with usage, though it delivers high ROI through performance enhancements. BMC Helix positions itself as a cost-effective alternative to ServiceNow, providing a value-driven approach without compromising on feature richness, appealing to cost-conscious users.
That gave us a very positive image as an agile vendor that came in and brought a highly valuable solution that drove cost reduction, that drove better return on investment, that drove more business confidence and highly automated spectrum and also it did improve overall cybersecurity aspects of the operations as well.
The return on investment with BMC Helix Operations Management with AIOps has been positive since I have saved money by resolving incidents or tickets before breaches.
We have seen a return on investment, managing to reduce actually half an FTE.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
When provided with accurate information, they quickly supply the necessary articles to resolve problems.
They provided detailed explanations about the issues and how to handle them in the future.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
BMC Helix Operations Management with AIOps is suitable for small, medium, and large environments.
The scalability of BMC Helix Operations Management with AIOps is very good, as the cloud-based solution gives you the flexibility to scale as your business grows.
I have scaled BMC Helix Operations Management with AIOps with data and users, not to a very high level but to a medium level, and I can see that the platform has performed well for my users.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
From my perspective as a customer, especially from tool administration, what would be beneficial is having end-to-end visibility all on a single page.
Documentation for a broader range of examples and use cases could help show what you can actually do with the power of the tool.
Regarding the configuration and documentation of AIOps, it would be beneficial to have more available resources for users.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
The pricing is on the higher end due to the extensive features and delivery quality.
Broadly speaking, it's slightly on the expensive side, though it's very high value.
My experience with pricing, setup costs, and licensing for BMC Helix Operations Management with AIOps has been good as I receive all licenses with AIOps and do not have to ask separately for licensing.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
Proactive monitoring is a key feature where AI and machine learning, based on past behavior, predict and provide information on potential situations that could develop.
BMC Helix Operations Management with AIOps has positively impacted my organization by reducing our emergency changes and flipping our problem records from reactive to proactive, so we're getting to things faster before they impact users.
BMC Helix Operations Management with AIOps helped us bring the attack surface to a minimal.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
| Product | Market Share (%) |
|---|---|
| Datadog | 14.9% |
| BMC Helix Operations Management with AIOps | 3.4% |
| Other | 81.7% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
BMC Helix Operations Management with AIOps enhances monitoring by leveraging AI for proactive insights, issue prediction, and SLA maintenance. Its agentless design offers comprehensive asset visibility and seamless tool integration for rapid issue resolution.
BMC Helix Operations Management with AIOps stands out by automating alerting and actions through AIOps capabilities, which hone infrastructure learning and identify vulnerabilities, providing crucial insights on server stability and potential incidents. It is primarily utilized for event collection and correlation to determine root causes, reducing the need for manual problem-solving and ensuring faster remediation. Companies like Yamaha in Brazil implement it for IT service management and application monitoring.
What are the key features of BMC Helix Operations Management with AIOps?
Which benefits or ROI should be considered when evaluating BMC Helix Operations Management with AIOps?
In industries such as ITSM and application monitoring, BMC Helix Operations Management with AIOps is implemented for event collection, root cause identification, and escalation to management during critical issues. It suits organizations looking to enhance monitoring capabilities without extensive manual intervention.
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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