Datadog vs. Hitachi Storage Virtualization Operating System (SVOS)

As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.

Incentivized

Hitachi SVOS is well suited for all environment in todays world. Storage plays a pivot role in all services provided in the current digital age. The Hitachi SVOS along with their blade proides magnificient perfromance boost which is not comparable to any vendors. Companies which has a huge database should consider this an option to evaluate. In addition orgnization who has a highly virtualized enviroment could also look at this product during their evaluation stage. This product is less benfit due to its cost in an environment where they have more number of physical servers as there are other solution which can be leveraged at a lower costs as they would not be utilizing the full feature set provided by the appliance

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• Scaling Flexibility
• Supporting Hybrid/Cloud environments
• Improving cost efficiency
• Simplifying storage management

Incentivized

• In my experience, .NET Tracing Agent caused severe and untraceable performance issues
• In my opinion, usage and billing structures were opaque and surprising
• In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
• I feel support was unhelpful at times, and bounced us back and forth to other teams
• In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost

Incentivized

• Cost is too high
• Documentation quality needs to be improved a lot. It is missing details currenty
• Organize all the documents and tools related info in easy to read and understand manner

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

It combines with enterprise level storages very well. Due to its high reliability & uptime, it is valued greatly by such institutes. Secondly, it's advanced virtualization reduces the complexity & cost, which in turn results in maximizing hardware utilization. Performance efficiency is amazing even under heavy workloads. Built-in cache optimization and automated tiering help ensure efficient data placement.

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

There is definitely no comparison to any of the products when comparing to Hitachi SVOS. I beleieve this is the only unique product which can leverage older storage systems. Dell Avamar can be a great product if you are considering DR replication alone. The DR replication ratio is quite high in Dell avamar. However given that the current bandwidth available outweights this benefit

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Cost had bit of negative impact
• Due to stable OS and live migrations support it has allowed us to dynamically tune the capacity of our test clusters leading to better COGS for our business

Incentivized