We compared Datadog and ScienceLogic across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Features: Datadog users like its customizable displays, error tracking, and advanced AI/ML capabilities. ScienceLogic is highly regarded for its serverless and agent connectivity, versatile graphs and personalized dashboards, AIOps and event management capabilities, as well as its AI and machine learning features.
Room for Improvement: Datadog could enhance its usability and reduce its learning curve. Users said integration was another pain point. ScienceLogic can enhance its documentation, Power Packs, notification features, and automation options.
Service and Support: While many users spoke highly of Datadog’s support team, others reported slow support responses, especially in the Asia-Pacific region. ScienceLogic's customer service is generally considered responsive and professional. However, a few users reported delayed response times and support engineers with limited expertise.
Ease of Deployment: Datadog’s setup is considered straightforward, and users often receive help from a partner or vendor. ScienceLogic's initial setup is described as simple and efficient. The deployment process can be completed within a few hours or a couple of weeks.
Pricing: Opinions about Datadog's price are divided. Some users found it costly, but others thought it was acceptable. Some said the pricing model could be clearer and better explained. Opinions on the price of ScienceLogic were mixed. Pricing is determined by the number of network devices or endpoints, and there are no hidden charges.
ROI: Users said Datadog saved them time and improved visibility into security blind spots. ScienceLogic improves troubleshooting and minimizes network outages.
Comparison Results: Datadog is praised for its customizability, easy setup, and robust AI features, but some users say it has room for improvement in areas like usability and integration. Datadog’s pricing and customer service received mixed reviews. ScienceLogic is praised for its serverless and agent connectivity, effortless setup, and customized dashboards. However, it lacks detailed documentation and automation options.
"We can manage the entire system across the network and troubleshoot the pain points."
"The single dashboard is a valuable feature."
"The tools are powerful and intuitive to set up."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"We have way more observability than what we had before - on the application and the overall system."
"Profiling has been made easier."
"Excellent autocomplete for everything in the UI."
"Straightforward to integrate and automate."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"They have a very good foundation in capturing metrics, logs, and traces. It's a very nice tool for that and it allows you to apply these monitoring tools in almost any technology."
"Its ITSM and EMS combination is really amazing. There is no need to purchase two products, one for ITSM and a second for EMS/NMS."
"Dynamic Component Mapping is key and unique."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"The power flow is great."
"It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers."
"The solution provides good infra-monitoring features."
"Provides agentless monitoring so there's no need to install the agent on each server."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"The Wi-Fi side needs improvement."
"The technical support needs improvement."
"Deploying the agents is still very manual."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"It lacks consistency in the APIs."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"I would like testing for data in the future."
"I think better access to their engineers when we have a problem could be better."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"They should improve database issues in HA and Failover mode, and provide documentation for all users , even if they are not customers."
"It was challenging onboarding users."
"I would like to see out-of-the-box standard dashboards for common services."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"They need a little more self-service."
"The product is not user-friendly."
"From a performance perspective, it needs to improve a lot."
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Datadog is ranked 2nd in IT Infrastructure Monitoring with 137 reviews while ScienceLogic is ranked 12th in IT Infrastructure Monitoring with 42 reviews. Datadog is rated 8.6, while ScienceLogic is rated 8.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Zabbix and ServiceNow Discovery. See our Datadog vs. ScienceLogic report.
See our list of best IT Infrastructure Monitoring vendors, best Network Monitoring Software vendors, and best Cloud Monitoring Software vendors.
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.