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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Datadog

    Score8.8 out of 10
    N/ADatadog 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.

    $18

    per month per host

    New Relic

    Score8.1 out of 10
    N/ANew Relic is a SaaS-based web and mobile application performance management provider for the cloud and the datacenter. They provide code-level diagnostics for dedicated infrastructures, the cloud, or hybrid environments and real time monitoring.

    $0

    No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks

    ScienceLogic AI Platform

    Score8.2 out of 10
    Enterprise companies (1,001+ employees)
    ScienceLogic provides a unified IT Operations platform designed to manage operational workflows using high-fidelity Telemetry Data and explainable automation. The ScienceLogic AI Platform is deployable across On-Premises, Cloud, and Hybrid Environments. The platform consolidates monitoring tools to provide Observability and enables engineers to automate manual processes using Machine Learning capabilities. The platform utilizes automation for Closed-Loop Remediation and provides insights…N/A
    Pricing
    DatadogNew RelicScienceLogic AI Platform
    Editions & Modules
    Log Management
    $1.27
    per month (billed annually) per host
    Infrastructure
    $15.00
    per month (billed annually) per host
    Standard
    $18
    per month per host
    Enterprise
    $27
    per month per host
    DevSecOps Pro
    $27
    per month per host
    APM
    $31.00
    per month (billed annually) per host
    DevSecOps Enterprise
    $41
    per month per host
    Free (Forever)
    $0
    No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
    Telemetry Data Platform
    $0.25
    per month per extra GB data ingest (after first free 100GB per month)
    Incident Intelligence
    $0.50
    per month per event (after first 1000 free events per month)
    Standard
    $99
    per month per full user (after first free full user - unlimited free basic users)
    Pro
    Contact sales team
    Enterprise
    Contact sales team
    No answers on this topic
    Offerings
    Pricing Offerings
    DatadogNew RelicScienceLogic AI Platform
    Free Trial
    YesNoNo
    Free/Freemium Version
    YesYesNo
    Premium Consulting/Integration Services
    NoNoYes
    Entry-level Setup FeeOptionalNo setup feeRequired
    Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).ScienceLogic SL1 offers four tiers: SL1 Advanced – Application Health, Automated Troubleshooting and Remediation Workflows SL1 Base – Infrastructure Monitoring, Topology & Event Correlation SL1 Premium – AI/ML-driven Analytics, Low-Code Automated Workflow Authoring SL1 Standard – Infrastructure Monitoring – with Agents, Business Services, Incident Automation, CMDB Synchronization, Behavioral Correlation
    More Pricing Information
    Community Pulse
    DatadogNew RelicScienceLogic AI Platform
    Considered Multiple Products
    Datadog
    Chose Datadog
    Datadog seems to be the most feature-rich of all the alternatives we've considered, however due to problems outlined earlier, some of the others have benefits. OpenTel can give us a way to make our platforms compatible with a variety of vendors, and can be done without …
    Incentivized
    Chose Datadog
    ease of use and implementation, other than New Relic (which I think is terrible in every possible way), the other two support opentelemetry better, have more manageable costs and comparable basic services, but they do not have the breadt of services dd does.
    Incentivized
    Chose Datadog
    We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
    Incentivized
    Chose Datadog
    New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time …
    Incentivized
    Chose Datadog
    Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
    Incentivized
    Chose Datadog
    Datadog has reliable monitoring with deep insights and straightforward integrations.
    Incentivized
    Chose Datadog
    I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier …
    Incentivized
    Chose Datadog
    Much more modern and advanced
    Incentivized
    Chose Datadog
    UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's …
    Incentivized
    Chose Datadog
    I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause …
    Incentivized
    Chose Datadog
    1. Grafana is good, but a lot of integration is required for it to work. .that not the case of Datadog
    2. Faster to set up Datadog instead of Grafana
    3. Alerting in Datadog feels much easier thanin Grafana.
    Incentivized
    Chose Datadog
    Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
    Incentivized
    Chose Datadog
    It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
    Incentivized
    Chose Datadog
    One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
    Incentivized
    Chose Datadog
    It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
    Incentivized
    Chose Datadog
    We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
    Incentivized
    Chose Datadog
    I have only used Datadog
    Incentivized
    New Relic
    Chose New Relic
    Less expensive than Datadog and Sentry with almost everything we need. Less effort to set up and maintain than elastic search and kibana so saved a ton on engineering bandwidth which would have otherwise been lost.
    Incentivized
    Chose New Relic
    New Relic in my opinion is a lot better than a tool like Datadog and Splunk. Cost in my opinion is the biggest concern.
    Incentivized
    Chose New Relic
    10 years ago we used AppDynamics onpremise but the cost was too high and we migrated to New Relic, more economical and modern

    Incentivized
    Chose New Relic
    New Relic's APM is better than Datadog's. It has better traces and dashboards. The Apdex-based alerts are accurate and work predictably even at a large scale. However, New Relic can become expensive as the volume of data ingested grows. Datadog has better dashboards and …
    Incentivized
    Chose New Relic
    There's nothing like New Relic. pingdom has an APM module but it lacks the detail of New Relic. Datadog's strength is measuring the hosting infrastructure rather than the app itself. Sometime you need APM to see what your app is doing.
    Incentivized
    Chose New Relic
    New Relic continuously focusing on Open Telemetry and agentic AI integrations which is helping users to focus on the latest technology and as we all know that in future Observability will be mostly on OTel concept and AI driven and New Relic focusing on those area.
    Apart from …
    Incentivized
    Chose New Relic
    The main reason is its pricing models which is value for money with respect to its features and it supports the OTEL related integrations which helps us to adopt the updations of Otel very easily and also it gives us flexible to drop the data in different stages through the …
    Incentivized
    Chose New Relic
    Its covers all the observability aspects as well as giving us more competitive pricing models compared to other providers that's why I like to use New Relic in place of other tools. And also it introduces new Agentic AI features as well as it adopts AI in its RCA. As an …
    Incentivized
    Chose New Relic
    Tracing of the services calls between the entire components in the architecture is good and easy to understand.
    Dashboarding building process is simple.
    UI is simple.
    Incentivized
    Chose New Relic
    New Relic stood out to us primarily because of its all-in one approach, combining APM, infra monitoring, logs and alerts in single platform. Compared to other tools we evaluated, if offered a smoother on boarding experience and required less stitching together of different …
    Incentivized
    Chose New Relic
    Because of its easy to use, its good features, value for money.
    Incentivized
    Chose New Relic
    The New Relic Platform addresses this challenge with the new plugin architecture. Plugins provide a way to monitor each of these technologies, extending the New Relic interface with custom-made dashboards specific to each. They pair the reporting of metrics specific to the …
    Incentivized
    Chose New Relic
    every one is using New Relic
    Incentivized
    Chose New Relic
    New Relic is the most full-featured offering that we've found, and is incredibly easy to start using with a PHP app. The New Relic agent is installed as a PHP extension so it is able to monitor and track the performance of any PHP app being run by the web server. Other tools …
    Incentivized
    Chose New Relic
    At the time, we selected New Relic for the broad coverage it could provide over our landscape.
    Incentivized
    Chose New Relic
    Similar features, the New Relic data ingestion costs are better and UI better as well
    Incentivized
    Chose New Relic
    New Relic has been DevOps and Developer friendly to onboard and use. Also pricing-wise, it is one of the best in terms of ROI. There are few features better in other APM solutions but New Relic is working on new features faster recently.
    Incentivized
    Chose New Relic
    50/50
    Incentivized
    Chose New Relic
    New Relic has a native integration with the IaaS service that the company utilizes which made it very easy to set up, integrate, and it also has consolidated billing with that IaaS service which is a big plus for the organization. After evaluating, I also thought it had the …
    Incentivized
    Chose New Relic
    We selected New Relic since it was very dynamic and versatile to use. It works well in all aspects of monitoring, and observability and would allow having a focus on collaboration with different repeatable processes. Also, New Relic has a good focus on working well with CLI, …
    Incentivized
    Chose New Relic
    The flexibility of developing custom dashboards, NRQL features over smarted other competitors for us.
    Incentivized
    Chose New Relic
    The differentiating feature, in my opinion, is the support given by New Relic, in our org, there is a slack channel dedicated for New Relic which allows us to have a quicker response and more convenience.
    Incentivized
    Chose New Relic
    We like the support provided by New Relic , they were able to solve the queries with limited interactions and they help us a lot to integrate our application with New Relic.
    Incentivized
    Chose New Relic
    We've found the feature set and usability of New Relic to be superior to similar competing products.
    Incentivized
    ScienceLogic
    Chose ScienceLogic AI Platform
    We liked the cloud-based implementation of Datadog, but pricing didn't stack up. We also use LabTech to complement missing features in Sciencelogic.
    Incentivized
    Chose ScienceLogic AI Platform
    ScienceLogic adds easy customization through the "power packs" that have carefully designed applications specific to certain vendors/models
    Incentivized
    Chose ScienceLogic AI Platform
    I was not part of the team selecting ScienceLogic SL1. Our goal was to increase event visibility in our server environment. We were using scripting which created many false events. SolarWinds is primarily used in the Network space to monitor network gear.
    Incentivized
    Chose ScienceLogic AI Platform
    From a monitoring perspective, in my opinion, ScienceLogic SL1 meets if not exceeds in all areas. The two caveats are APM and Network Flow Analytics (NFA) where ScienceLogic SL1 does not have a native capability but does integrate well with the leading APM and NFA providers.
    Incentivized
    Chose ScienceLogic AI Platform
    ScienceLogic SL1 has great UI to configure any monitoring after setup, also has agent-less monitoring that's the great feature against mandate agent monitoring tool like ITM and Zabbix. ScienceLogic SL1 UI has great flexibility to configure any monitoring and modification as …
    Incentivized
    Chose ScienceLogic AI Platform
    ScienceLogic SL1 offered the best combination of deployment flexibility, extensibility, and widespread support.
    Incentivized
    Chose ScienceLogic AI Platform
    In the AIOPS space, we looked at BigPanda alongside SL1 Advanced.
    Incentivized
    Chose ScienceLogic AI Platform
    Price and licensing business format.
    Time for implementation.
    Incentivized
    Chose ScienceLogic AI Platform
    We liked the roadmap and growth that ScienceLogic SL1 had aligned. Functions and features from our previous product were pretty well aligned, but the cost was a huge impact on decision.
    Incentivized
    Chose ScienceLogic AI Platform
    The coverage and ease for what we need is just better. Most of the other solutions are just point tools that don't bring many functions together or are missing pieces to be successful.
    Incentivized
    Chose ScienceLogic AI Platform
    Solarwinds initially looked like a good value for the money. We are now revisiting our earlier decision.
    Incentivized
    Chose ScienceLogic AI Platform
    In general EM7 stacks up well to other commercial products and open source products. Personally I have worked with well over 25 or 30 different monitoring products (probably 50 if you include product evaluations) and would rate EM7 around the top 75% as it applies to features …
    Incentivized
    Chose ScienceLogic AI Platform
    ScienceLogic has better potential to do the required job within the right economy.
    Incentivized
    Chose ScienceLogic AI Platform
    Contracting is easy and the cost is really competitive. It helps in tools consolidation and we receive all the benefits. Additionally, we are planning on using it to replace other tools in APM areas if we see good features in upcoming releases. ScienceLogic provides good …
    Incentivized
    Chose ScienceLogic AI Platform
    It seemed to have the largest amount of support and integration points.
    Incentivized
    Key User Insights
    Would buy again
    94%
    Would buy again
    50 Answers
    91%
    Would buy again
    71 Answers
    87%
    Would buy again
    81 Answers
    Delivers good value for the price
    93%
    Delivers good value for the price
    41 Answers
    94%
    Delivers good value for the price
    64 Answers
    91%
    Delivers good value for the price
    71 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    52 Answers
    97%
    Happy with the feature set
    76 Answers
    92%
    Happy with the feature set
    86 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    32 Answers
    95%
    Lived up to sales and marketing promises
    55 Answers
    85%
    Lived up to sales and marketing promises
    44 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    36 Answers
    96%
    Implementation went as expected
    68 Answers
    81%
    Implementation went as expected
    58 Answers
    Features
    DatadogNew RelicScienceLogic AI Platform
    Monitoring Tasks
    Comparison of Monitoring Tasks features of Datadog and New Relic and ScienceLogic AI Platform
    Feature
    Datadog
    7.9
    2 Ratings
    7% below category average
    New Relic
    -
    Ratings
    ScienceLogic AI Platform
    -
    Ratings
    Remote monitoring8.22 Ratings00 Ratings00 Ratings
    Network device monitoring7.72 Ratings00 Ratings00 Ratings
    Multiple Server Monitoring7.72 Ratings00 Ratings00 Ratings
    Multi-device monitoring7.72 Ratings00 Ratings00 Ratings
    Automated alerts and notifications8.22 Ratings00 Ratings00 Ratings
    Management Tasks
    Comparison of Management Tasks features of Datadog and New Relic and ScienceLogic AI Platform
    Feature
    Datadog
    6.1
    1 Ratings
    12% below category average
    New Relic
    -
    Ratings
    ScienceLogic AI Platform
    -
    Ratings
    Patch Management7.31 Ratings00 Ratings00 Ratings
    Service configuration management6.41 Ratings00 Ratings00 Ratings
    Software and hardware inventory5.51 Ratings00 Ratings00 Ratings
    Policy-based automation5.51 Ratings00 Ratings00 Ratings
    Reporting
    Comparison of Reporting features of Datadog and New Relic and ScienceLogic AI Platform
    Feature
    Datadog
    8.2
    2 Ratings
    3% above category average
    New Relic
    -
    Ratings
    ScienceLogic AI Platform
    -
    Ratings
    Performance data reports8.22 Ratings00 Ratings00 Ratings
    Customizable reporting7.72 Ratings00 Ratings00 Ratings
    Data visualization8.62 Ratings00 Ratings00 Ratings
    Risk analysis8.22 Ratings00 Ratings00 Ratings
    Security
    Comparison of Security features of Datadog and New Relic and ScienceLogic AI Platform
    Feature
    Datadog
    6.7
    1 Ratings
    9% below category average
    New Relic
    -
    Ratings
    ScienceLogic AI Platform
    -
    Ratings
    Data backup and recovery6.41 Ratings00 Ratings00 Ratings
    Antivirus and malware management7.31 Ratings00 Ratings00 Ratings
    Administrator access control6.41 Ratings00 Ratings00 Ratings
    AIOps Features
    Comparison of AIOps Features features of Datadog and New Relic and ScienceLogic AI Platform
    Feature
    Datadog
    -
    Ratings
    New Relic
    -
    Ratings
    ScienceLogic AI Platform
    7.5
    26 Ratings
    2% below category average
    Monitoring and Alerting00 Ratings00 Ratings8.225 Ratings
    Performance Analytics00 Ratings00 Ratings7.726 Ratings
    Incident Management00 Ratings00 Ratings6.626 Ratings
    Service Desk Integration00 Ratings00 Ratings7.525 Ratings
    Root Cause Analysis00 Ratings00 Ratings7.721 Ratings
    Capacity Planning Tool00 Ratings00 Ratings7.222 Ratings
    Configuration and Change Management00 Ratings00 Ratings7.723 Ratings
    Automated Remediation00 Ratings00 Ratings7.620 Ratings
    Collaboration and Communication00 Ratings00 Ratings7.920 Ratings
    Threat Intelligence00 Ratings00 Ratings7.319 Ratings
    Best Alternatives
    DatadogNew RelicScienceLogic AI Platform
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    Medium-sized Companies
    LogicMonitor
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    Enterprises
    ManageEngine Site24x7
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    ignio AIOps
    Score8.1 out of 10
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    User Ratings
    DatadogNew RelicScienceLogic AI Platform
    Likelihood to Recommend
    8.9
    (65 ratings)
    7.3
    (148 ratings)
    8.0
    (228 ratings)
    Likelihood to Renew
    4.3
    (2 ratings)
    8.8
    (16 ratings)
    8.4
    (24 ratings)
    Usability
    8.7
    (44 ratings)
    6.7
    (14 ratings)
    9.6
    (15 ratings)
    Availability
    -
    (0 ratings)
    9.1
    (2 ratings)
    9.2
    (14 ratings)
    Performance
    -
    (0 ratings)
    9.1
    (2 ratings)
    8.2
    (14 ratings)
    Support Rating
    5.0
    (7 ratings)
    9.0
    (7 ratings)
    6.5
    (20 ratings)
    In-Person Training
    -
    (0 ratings)
    -
    (0 ratings)
    8.8
    (6 ratings)
    Online Training
    -
    (0 ratings)
    -
    (0 ratings)
    7.7
    (8 ratings)
    Implementation Rating
    1.0
    (1 ratings)
    8.0
    (9 ratings)
    6.4
    (99 ratings)
    Configurability
    -
    (0 ratings)
    7.3
    (3 ratings)
    10.0
    (7 ratings)
    Ease of integration
    -
    (0 ratings)
    9.0
    (1 ratings)
    8.0
    (15 ratings)
    Product Scalability
    -
    (0 ratings)
    9.1
    (2 ratings)
    8.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.2
    (2 ratings)
    9.1
    (7 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (2 ratings)
    8.4
    (7 ratings)
    User Testimonials
    DatadogNew RelicScienceLogic AI Platform
    Likelihood to Recommend
    Datadog
    Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
    Incentivized
    Read full review
    New Relic
    New Relic its an excellent tool for monitoring services used on the SAAS universe, like web servers, relational and nosql dbms, reverse proxies, text databases, etc. Its also a powerful tool to monitor resource usage on said servers. However, its not well fitted to monitor custom services - if you need to generate alerts based on logs or database information, for example
    Incentivized
    Read full review
    ScienceLogic
    For Windows, the issue is in higher resource consumption related to WinRM monitoring, which provides better options then the SNMP monitoring, which on the other hand is less resource intensive. The problem is also with support for OS with other than English language.
    Incentivized
    Read full review
    Pros
    Datadog
    • 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
    Read full review
    New Relic
    • It gives us insights of applications, infrastructure, clouds very well.
    • The alerting system in New Relic helps us to easily identify the root cause which reduces the MTTR.
    • It has new features related to AI which helps to troubleshoot any problem in a very short time it gives future predictions also.
    Incentivized
    Read full review
    ScienceLogic
    • Best overall coverage of montioring different technologies.
    • Easy to use in any environment
    • Customizable being able to generate your own reports, dashboards, DA's, RBA's, etc.
    • Have very good out of the box integrations with other monitoring solutions such as ServiceNow
    • Always improving and regularly releasing new versions and upgrades to the system/DA's.
    • Interactive community
    Incentivized
    Read full review
    Cons
    Datadog
    • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
    • I would appreciate more supportive examples for how to filter and view metrics in the explorer
    • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
    Incentivized
    Read full review
    New Relic
    • And while powerful, building tailored dashboards with organ-specific metrics (such as energy load variance across regions) can be difficult to navigate. The UI isn't as drag-and-drop easy, and query-based widgets typically involve some trial and error for non-devs.
    • Alerts may be hypersensitive or over general. I We often get a spam of non-critical alerts while doing load testing, all overhauling to me alone and making it difficult to identify actual issues especially in energy systems where spikes are very common.
    • With our expanding fleet of Iot devices, the per-host pricing model is becoming expensive, quickly. More detailed billing based on microservices, or that works at sensor level, would make it more adaptable for energy platforms.
    Incentivized
    Read full review
    ScienceLogic
    • Dashboards are quite old and are of Iron age. Need to have AP2 dashboards only instead of AP1 and consistent new design across all functionalities.
    • Reporting is not improved since Y2020 and need to revamp completely. Need to integrate Dashboards and Reporting. PowerBI Like functionality to be given OOTB. Reports should be extracted in Excel, PDF, HTML and should be heavily automated.
    • Create and Open APIs for basic and advanced monitoring data extraction.
    • Topology based Event Correlation and Suppression should be improved drastically. Need to identify critical network interfaces based on Topology and monitor them. Basic customization of Dynamic App and/or Powerpack to exclude/include certain metrics/events to be permitted OOTB instead of customizations.
    • Integration with ServiceNow to be improved and to be taken to next level. Automation Powerpack should be made available OOTB as part of base product and to be priced attractively.
    • Take product to next level where we can monitor actual impacted IT or Business Service instead of metrics and events BSM and Topology map to be auto discovered and identify the network dependencies and alternate paths automatically instead of manual creation of BSM.
    Read full review
    Likelihood to Renew
    Datadog
    Definitely will not revisit after our issues and, in my opinion, poor support.
    Incentivized
    Read full review
    New Relic
    The only issue that we have had with New Relic is that the price might be a little expensive for smaller companies. The amount of data you store in New Relic impacts the cost, and can get away from you if you don't work closely with the vendor. Overall though the application is top notch.
    Incentivized
    Read full review
    ScienceLogic
    It is simply because of all the best possible autonomy solutions it is providing and getting better day by day. Using AI and Devops along with handy automation, The monitoring and Management of devices becomes much easier and the way it is growing in all the aspects is one the best reasons too. Evolution of the SL1 platform in the autonomy monitoring and management is quite appreciable.
    Incentivized
    Read full review
    Usability
    Datadog
    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
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    New Relic
    I have given this much rating as I am used New Relic in different sectors and for different use cases like its K8s monitoring, infra monitoring, full stack monitoring as compare to other tools New Relic gives data in a formatted and connected way, and also it is giving us value for money. It also launches new features day by day which helps users to track the issue very quickly. It also supports OTel integrations which is the latest trend of observability tools. thats why I had given this much rating to New Relic.
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    ScienceLogic
    The core functions are there.
    The complexity is due to the complexity of the space.
    The score is based on comfort (I no longer notice the legacy UI) and the promise that I see in the 8.12 Unified UI (a vast improvement).
    It is also based on the fact that with 8.12, you can now do everything in the new UI but you still have the legacy UI as a fallback (which should now be unnecessary for new installations)
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    Reliability and Availability
    Datadog
    No answers on this topic
    New Relic
    Never observed an outage
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    ScienceLogic
    SL is always there and online when you need to get info from it. The only times when SL was not available in our own data center, was when network links from out side of the data center was down and those links were not in our controll. Having a central database and people accessing it all over the world, may put a bit of constarin on the performance of the dashboards when reports gets generated, but that is far and few n between.
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    Performance
    Datadog
    No answers on this topic
    New Relic
    there are times where browser cache will cause issues that require you to clear your browser before continuing.
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    ScienceLogic
    SceinceLogic SL1 architecture helps the platform to give a top-notch performance in every respect, Data collection to reporting happens very smoothly. With the new user interface pages load much faster. Individual appliances carrying the individual task ensure things are working without lag. Integration with ticketing tool(SNOW) is well managed by the ScienceLogic, no issue or much delay has been observed while interacting with an external tool.
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    Support Rating
    Datadog
    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.
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    New Relic
    The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed
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    ScienceLogic
    So far, it's good as part of my overall experience, except for a couple of use cases. The support team is well knowledgeable, has technical sound, and is efficient. When support escalates to engineering, the issue gets stuck and takes months to resolve.
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    In-Person Training
    Datadog
    No answers on this topic
    New Relic
    No answers on this topic
    ScienceLogic
    It was good, Do the online training first and understand it and you will get the most out of the in-person training that way. This also takes you to an advanced level which is very good and the training as been overhauled once again along with new product coming in such as Zebruim / Skylar, worth going through again if it a while back that you first did this.
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    Online Training
    Datadog
    No answers on this topic
    New Relic
    No answers on this topic
    ScienceLogic
    There are a lot of educational materials and courses on the SL1 training site (Litmos university). However the recording quality is sometimes not very good - screen resolution is low. There is a lack of professional rather than user-oriented documents and there are mistakes in documentation and education is not well structured.
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    Implementation Rating
    Datadog
    Documentation was difficult to work through, rollout was catastrophic (completely outage)
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    New Relic
    It's better to start by implementing New Relic in one project and test everything. Try to follow best recommended practices and read all the official documentation. Everything seems well tested. Then, start by installing agents to the rest of your projects and keep a close look to all logs and metrics New Relic gives you.
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    ScienceLogic
    Implementation is smooth if we are to just support the out-of-the-box features available in ScienceLogic. For any custom requirement, having to go to SL1 Professional Services is the worst part of procuring this suite. And more often than not, SL1 Professional Services also ask to raise feature request. So, you subscribe to Professional Services to only hear back from them that "This feature is not supported and needs to have a separate feature request". At times frustrating.
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    Alternatives Considered
    Datadog
    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.
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    New Relic
    Data Dog has solutions that look more attractive, but not at their price point. We have also tried to build a solution straight from the Cloud, where our business is built, but some things are too hard to replicate. This shows that New Relic is useful and helps our efficiency.
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    ScienceLogic
    Science logic SL1 is so user friendly and it's really easy to navigate between function. I would recommend Sciene logic SL1 to all of them who are looking for really useful monitoring tool and expecting easy way of managing it.
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    Scalability
    Datadog
    No answers on this topic
    New Relic
    Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless
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    ScienceLogic
    Our deployment model is vastly different from product expectations. Our global / internal monitoring foot print is 8 production stacks in dual data centers with 50% collection capacity allocated to each data center with minimal numbers of collection groups. General Collection is our default collection group. Special Collection is for monitoring our ASA and other hardware that cannot be polled by a large number of IP addresses, so this collection group is usually 2 collectors). Because most of our stacks are in different physical data centers, we cannot use the provided HA solution. We have to use the DR solution (DRBD + CNAMEs). We routinely test power in our data centers (yearly). Because we have to use DR, we have a hand-touch to flip nodes and change the DNS CNAME half of the times when there is an outage (by design). When the outage is planned, we do this ahead of the outage so that we don't care that the Secondary has dropped away from the Primary. Hopefully, we'll be able to find a way to meet our constraints and improve our resiliency and reduce our hand-touch in future releases. For now, this works for us and our complexity. (I hear that the HA option is sweet. I just can't consume that.)
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    Return on Investment
    Datadog
    • 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.
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    New Relic
    • We were able to quickly identify our most time consuming APIs. In some cases we were able to bring down times for some apis from 4s to 200ms.
    • We were able to identify our slowest database queries and optimize them for quicker response times.
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    ScienceLogic
    • Once a powerpack is developed and configured for a device for one customer, it is easy to deploy the same powerpack on a second customer estate and configure specifically for that customer without having to reinvent the powerpack. This saves time and therefore money.
    • Once the customer estate tuning is complete, the Operations team have come trust the alerts. This is especially true when transient or self-correcting alerts are automatically cleared without ops team involvement, but a record is still available for audit and debugging purposes. This saves time and therefore money.
    • When setup correctly, it provides good visibility into applications, devices and whole customer estates. This saves time and therefore money when issues arise.
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    ScreenShots

    Datadog Screenshots

    Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.

    ScienceLogic AI Platform Screenshots

    Screenshot of Unified Observability and Contextual IntelligenceScreenshot of Relationship Mapping & Service VisibilityScreenshot of ITSM and Collaboration IntegrationsScreenshot of Low-Code Workflow BuilderScreenshot of Dynamic Application DevelopmentScreenshot of Executive Overview Dashboard