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."
"Profiling has been made easier."
"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."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"Datadog is providing efficiency in the products we develop for the wireless device engineering department."
"We have way more observability than what we had before - on the application and the overall system."
"The most valuable feature I have found is the elastic container service."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."
"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."
"Power packs."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"One of the valuable features is rapid dashboards."
"I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity."
"It is simple."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"The Wi-Fi side needs improvement."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"Geo-data is also something very critical that we hope to see in the future."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"It could probably be a little bit of a better user experience."
"The on-premise version is very difficult to upgrade."
"We would like to see smaller or shorter tutorials and video sessions."
"Deploying the agents is still very manual."
"The solution needs to integrate AI tools."
"The product must educate its strategic partners for deployment."
"The product's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"From a performance perspective, it needs to improve a lot."
"Admins do not have direct access to the reporting."
"We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information."
"They should add CLI command modes and scripts for high performance."
"Addressing duplicate IPs: There is the ability to edit the DB and fix this, but adding some logic to understand them would be a plus."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
Datadog is ranked 2nd in Network Monitoring Software with 137 reviews while ScienceLogic is ranked 14th in Network Monitoring Software 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 AppDynamics, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, ServiceNow Discovery and Zabbix. See our Datadog vs. ScienceLogic report.
See our list of best Network Monitoring Software vendors, best Cloud Monitoring Software vendors, and best AIOps vendors.
We monitor all Network Monitoring Software 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.
