CA Spectrum vs Datadog

CA Spectrum is ranked 4th in IT Infrastructure Monitoring with 58 reviews vs Datadog which is ranked 18th in IT Infrastructure Monitoring with 2 reviews. The top reviewer of CA Spectrum writes "It has a REST API and is customisable using standard features". The top reviewer of Datadog writes "Excellent autocomplete for everything in the UI". CA Spectrum is most compared with Nagios XI, CA Unified Infrastructure Management and IBM Tivoli NetCool. Datadog is most compared with Nagios XI, Zabbix and Amazon CloudWatch. See our CA Spectrum vs Datadog report.
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Most Helpful Review
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Find out what your peers are saying about CA Spectrum vs Datadog and others in IT Infrastructure Monitoring.
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Quotes From Members Comparing CA Spectrum vs Datadog

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros
The monitoring just comes to us: "Oh, there's something wrong with that machine." It tells us. There are some 50,000 machines or so, all doing different things. And if they go down we hear about it.It helps our NetOps group actually handle alarms in a way that lets them see the bigger picture of those alarms, and how they might affect our services. It helps us communicate information about the network state better to services that might be impacted by a specific network condition.As the kind of enterprise that straddles the line between telco size and enterprise size, it scales for us, because we're not all the way at telco yet.​It covers a lot of different types of hardware. It can do a lot and saves us time.​It is very stable. We have not had any major issues in over 10 years.​The stability of the product is key. It never breaks, really. The stability and reliability of the Spectrum product have been top-notch.​I can use it to detect whenever things go wrong on my network.We can plan changes and replacement of end-of-life products in our environment very well because it's very accurate.

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Excellent autocomplete for everything in the UI.It has empowered all our platform engineers with a very powerful and easy to use monitoring system.Going from viewing a metric to creating a monitor alerting on a metric is very easy.The web app has a real-time support chat window in which a support engineer is chatting with you within a minute.By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore.The most valuable features have been: Sharable dashboards, TimeBoards, dogstatsd API, Slack Integration, Event logging API. CloudTrail Events, Tags, alerts, and anomaly detection. EBS Volume Snapshot Age, which they added upon request.

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Cons
If they could interact with the MIBs of vendors better, and have a lot more pre-loaded ones, that would be amazing for us right now.The Spectrum OneClick is a Java-based client, and that's aging. Really, before any new feature integration, I'd love to see a comprehensive rebuild of the UI.The upgrade process could be smoother. More of the steps around upgrading could be automated.A better integration with the UIM, as far as being able to do root cause analysis and that type of analytics.Needs better integration with all the other products in the Agile suite of tools; anything they could do to make that less complex, would be great.If nobody else has said the documentation needs improvement, let's go there. I understand, you can either write about it or you can do it. And most of us would rather they do it, but now that they've done it, those of us that didn't do it, we need to go and find: "Where did they write about this to tell us how to do it?" That's always lacking.We have had one support issue that's been open for a couple of months, and it is currently open.​I would like to see them eliminate the Java console. The user interface for this is a Java applet that runs on your desktop, and it is very problematic for us.

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​It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors).It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time.It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage.More granular control over dashboard sharing. Timeboard sharing.

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Pricing and Cost Advice
The cost of some of these products are a little cost prohibitive, which is unfortunate. We have to find lower cost solutions for some of the things that we have to pull in. For the most part, CA has capabilities in pretty much everything that you would need. You just have to figure out where are you going to spend the most money for what you have to actually get done. You can do all these things but, which ones do you have to do? And that's hard to choose sometimes because you want to do them all.It’s a great tool, but an expensive one. Learn how to use it properly.It is very pricey. With the current trend of enterprises moving towards cheaper and more modern looking solutions like ManageEngine, SevOne, ServicePilot, and Paesller.

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​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure.

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Ca spectrum vs. datadog report from it central station 2018 05 04 thumbnail
Find out what your peers are saying about CA Spectrum vs Datadog and others in IT Infrastructure Monitoring.
269,560 professionals have used our research since 2012.
Ranking
RANKING
Views
23,341
Comparisons
5,506
Reviews
57
Followers
1,223
Avg. Rating
8.4
Views
8,528
Comparisons
5,967
Reviews
2
Followers
567
Avg. Rating
10.0
Top Comparisons
Top Comparisons
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Compared 14% of the time.
Ibm
Compared 10% of the time.
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3gaoi2h254k0canb4hxj 400x400
Compared 21% of the time.
Zabbix logo twitter bigger
Compared 8% of the time.
Amazon.com
Compared 7% of the time.
See more Datadog competitors »
Website/Video
Website/VideoCA Technologies
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Datadog
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OverviewQuestionmark icon
OverviewCA Spectrum can enable your organization to discover, optimize and improve its infrastructure and the business services running on top of it. By delivering large-enterprise scalability, robust features and superior root cause analysis, this solution can help your organization effectively manage its dynamic, complex IT infrastructure including physical, virtual and cloud environments as well as network virtualization. Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
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Sample Customers
Sample CustomersNational Informatics Centre India, Banese, Olympus, AlphaServe Technologies, SicrediAdobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Top IndustriesQuestionmark icon
Top Industries
REVIEWERS
Financial Services Firm
16%
Healthcare Company
12%
Insurance Company
9%
Transportation Company
7%
VISITORS READING REVIEWS
Financial Services Firm
24%
Comms Service Provider
22%
Retailer
10%
Healthcare Company
7%
VISITORS READING REVIEWS
Financial Services Firm
14%
Software R&D Company
12%
Comms Service Provider
10%
Media Company
10%
Company SizeQuestionmark icon
Company Size
REVIEWERS
Small Business
12%
Midsize Enterprise
15%
Large Enterprise
73%
VISITORS READING REVIEWS
Small Business
18%
Midsize Enterprise
23%
Large Enterprise
58%
No Data Available
Ca spectrum vs. datadog report from it central station 2018 05 04 thumbnail
Find out what your peers are saying about CA Spectrum vs Datadog and others in IT Infrastructure Monitoring.
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269,560 professionals have used our research since 2012.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

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