Key performance indicators can be gathered from servers, databases, apps, and other IT infrastructures using the monitoring and analytics tool Datadog. On the market, there is fierce competition for Datadog. Although many of these tools are similar to one another, it is still important to understand how they differ and perform tool reviews to get the best answer for your particular circumstance. We’ll go over the best Datadog competitors and alternatives in this article so you can compare them when choosing a vendor for application and monitoring, including their pricing.<\/p>
Through a SaaS-based data analytics platform, Datadog is an application monitoring service platform for cloud-scale applications that offers monitoring of services, databases, tools, and servers. Datadog is a service that monitors cloud infrastructure and provides dashboards, alerts, and metrics visualizations. It saw quick growth and broadened the service providers it supported with its platform offering, including Amazon Web Service (AWS), Google Cloud Platform, Microsoft Azure, VMware, Red Hat OpenShift, and Open Stack.<\/p>
It allows you to keep track of, analyze, and improve the performance of cloud-based applications, right down to individual lines of code or customer requests. The platform has built-in dashboards that are visually appealing given the breadth of the application and provide a lot of data, including a flame chart for trace views. Because it is designed for heavy users, it can be challenging for the average user to build customized dashboards from scratch for special requests. For people who are unfamiliar with the notion as a whole and who are not as advanced as some of their friends, new user onboarding may take some time. Because there is a lot of competition in the monitoring and observability market, we will review seven of the top Datadog alternatives and weigh their advantages and disadvantages to help you decide which is ideal for your requirements.<\/p>
Here is the list of the seven best Datadog competitors and alternatives:<\/p>
A Datadog competitor and alternative application performance management tool called Atatus provides full-stack visibility for all of your applications and is SaaS-based. You can use it to dynamically gather millions of performance data points from various applications, helping you to fix problems more rapidly and enhance the digital consumer experience. With the flexibility of cloud or on-premise deployment, those things also occur in real-time.<\/p>
It guarantees to give a comprehensive view of all the application performance metrics required to produce high-quality and dependable software. As soon as the problem arises, you’ll be informed. It offers a thorough list, including information on who, when, and what caused the performance damage.<\/p>
It keeps track of the functionality of your applications and is alerted when a problem with the user experience arises. The Application Index (Apdex) ratings are used to analyze your customer satisfaction levels while measuring the frontend and backend performance of your complete application. Additionally, it fixes availability or performance issues with the application before they have an impact on your clients.<\/p>
Using Application Performance Monitoring (APM), you may analyze transaction traces, slow database queries, and external calls to other services in addition to measuring the performance of your backend. Atatus supports PHP, Node.js, Java, Ruby, Python, and React. Asana, Slack, Jira, GitLab, Codeship, VictorOps, etc. are all integrated with it.<\/p>
Another competitor and alternative of Datadog called Dynatrace enables you to improve the user experience by giving you real-time insight into your whole application. From the user’s browser through the application, containers, infrastructure, and cloud, the platform employs artificial intelligence (AI) to identify the user’s whole stack.<\/p>
You can observe all insights, application performance management, and infrastructure monitoring with full-stack monitoring, leaving no blind spots. It offers thorough, precise tracking of each and every transaction carried out on your site. Their Application Performance Monitoring (APM) uses artificial intelligence to identify performance issues and shorten the Mean Time to Recovery (MTTR) by illuminating application topology changes in real time.<\/p>
For businesses and managed service providers, LogicMonitor is a cloud-based Datadog competitor and alternative, fully automated infrastructure monitoring tool with complete stack visibility. They offer fully automated monitoring and automation for several tenants that are created with minimal support price (MSP) in mind. The service has a quick time to value and monitors both on-premises and cloud settings. Granular role-based access restrictions, multi-tenancy, customizable dashboards, and user-friendly reporting make the entire application administration process simple. More than 2000 integrations are available for LogicMonitor, including those with Azure Monitoring, Google Cloud, Solaris, Linux, VMware, etc.<\/p>
Continuous intelligence, a new software class from Sumo Logic, helps businesses of all sizes manage data issues and opportunities from digital transformation, cloud computing, and modern applications. Their Continuous Intelligence PlatformTM automates application, infrastructure, security, and IoT data collection, ingestion, and analysis to provide actionable insights. This Datadog competitor shows the whole data analysis application configuration, which speeds up the process.<\/p>
Their technology emphasizes the intelligence economy by using a multi-tenant SaaS architecture and different use cases. Sumo Logic is cloud-native and enables quick deployment and full functionality for users. To gather data, accelerate application delivery, achieve compliance, and enhance security, they instantaneously grant access to the data analysis tools. Amazon Web Services, Google Cloud Platform, Microsoft Azure, Slack, Apache, Salesforce, etc. are all integrated by Sumo Logic.<\/p>
You can visualize business and application performance in real time with AppDynamics to get full insight into the end-user experience. SaaS, cloud-based, and on-premise versions are all available. This tool tracks application performance, which provides insights into how the business is performing as a result of the impact of the application.<\/p>
It provides a framework for application intelligence to track and enhance client experiences with application performance. The goal is to offer a useful platform for software-defined businesses, particularly those in the financial, media, insurance, healthcare, and government sectors.<\/p>
absolute visibility of the user application environment, which includes the server networks, Java,.Net, PHP, Node.js, SQL, Android, and iOS. With this exclusive offer, known as Unified Monitoring, users can more quickly implement troubleshooting and rapidly discover client issues.<\/p>
For SaaS-based APM that offers a flexible and dynamic approach, New Relic One is a well-known Datadog competitor and alternative. Also, a platform for observability is being used to develop more ideal software for professionals. Additionally, it is thought to be efficient but not affordable for small enterprises and has a steep learning curve. You may provide full-stack observability and AI-driven insights that increase service dependability and shorten time to market by giving people access to a telemetry data platform, which allows data to be collected in one location. It offers a thorough overview of your entire stack and the state of your application. Java, Ruby, Python,.Net, Node.js, Go, and PHP are all supported by the solution. It has more than 368 integrations, including those with Amazon Web Services, Google Cloud Platform, Microsoft Azure, Joomla, and Lighthouse.<\/p>
IBM powers Instana, a tool for monitoring application performance. It is a full-stack context that comprehends how calls, applications, services, and traces are related to one another. The development team can track the performance and availability of applications thanks to Instana APM. Traditional monitoring lags further behind, unable to keep up with the complexity and scale of dynamic application environments as it embraces CI\/CD, DevOps, and Agile techniques. Java, Ruby, Python,.Net, Node.js, Go, Scala, and PHP are all supported by the solution. It connects with Google Cloud Platform, Microsoft Azure, Red Hat, VMware, and Amazon AWS, among others.<\/p>
Before delving into specific pricing information, let’s first lay the groundwork by comprehending Datadog’s overall pricing structure. The amount of data absorbed and the features used essentially determine Datadog’s price. Infrastructure monitoring, Application Performance Monitoring (APM), log management, and synthetic monitoring are important variables determining expenses. Organizations may efficiently examine and optimize their prices by understanding how these elements contribute to the overall cost. Datadog provides a variety of plans to meet different needs and price:<\/p>
In order to give context and reduce incident reaction time, Datadog can compile data from logs and other metrics. Performance monitoring, alarm management, and data analysis are all centralized in the user interface.<\/p>
Datadog is flexible and functions as a single tool that combines tracing and logging features. The dashboards and notifications are useful for monitoring performance and reacting promptly to problems. APM and profiling offer clear visibility and useful information.<\/p>
The Splunk platform is a great option for larger enterprises with more demanding data processing requirements because it can process more data than Datadog. Splunk, on the other hand, has a potentially more complicated user interface and necessitates a more involved setting procedure.<\/p>
Both Datadog’s and Dynatrace’s setup procedures are typically regarded as easy and straightforward. On the other hand, Dynatrace is thought to be quicker and simpler to implement, whereas Datadog may require some fine-tuning or the involvement of many teams.<\/p>
The Datadog user interface can be a little intimidating to a novice user. It can occasionally be challenging to produce metrics from logs. The pricing is a little unclear.<\/p>
It is one of the few unicorns in the cloud industry thanks to its impressive financial performance and strong competitive advantages. One of the market’s top-performing cloud monitoring companies is Datadog (NASDAQ: DDOG).<\/p>
For the quarter ending June 30, 2023, Datadog’s revenue was $0.509 billion, up 25.44% from the previous year. For the year ended June 30, 2023, Datadog generated $1.897 billion in revenue, a 38.9% increase from the previous year. Datadog reported $1.675 billion in yearly revenue in 2022, a 62.82% increase over 2021.<\/p>