Datadog vs Scalyr
May 18, 2023 | Author: Michael Stromann
Datadog and Scalyr are both cloud-based monitoring and observability platforms, but they differ in their features, focus, and approach. Datadog is a robust monitoring and analytics platform that provides comprehensive observability across infrastructure, applications, and logs. It offers a wide range of monitoring capabilities, including metrics, traces, and logs, and provides a unified view of the entire technology stack. Datadog is known for its extensive integrations, real-time monitoring, and advanced analytics, making it suitable for organizations with complex environments and diverse monitoring needs. On the other hand, Scalyr is a log management and analysis platform that specializes in handling large volumes of logs in real-time. It focuses on simplifying log management, searching, and analysis with its powerful indexing and querying capabilities. Scalyr excels in its speed and scalability, enabling users to quickly search and analyze log data across distributed systems. It is well-suited for organizations with high log volumes and a strong emphasis on log analysis.
See also: Top 10 IT Monitoring software
See also: Top 10 IT Monitoring software
Datadog vs Scalyr in our news:
2015. Server log monitoring tool Scalyr raises $2.1M
Scalyr, a log-monitoring service that provides developers with comprehensive insights into application performance, has successfully raised $2.1 million in a seed round. The core concept behind Scalyr is to consolidate data from server logs, along with various metrics, error reports, and performance data, into a single tool that offers actionable insights. While similar log management services like Splunk and Loggly exist, these tools often present anecdotal information without a cohesive overview. Scalyr differentiates itself by focusing on aggregating and analyzing errors rather than directly competing with performance-focused platforms like New Relic. Given the rapid growth of log files and the computational requirements for analysis, the Scalyr team has developed a robust data management engine to efficiently handle and process this substantial amount of data.
2015. Cloud monitoring service Datadog fetched $31M
Datadog, a platform that enables companies to monitor the performance of their diverse cloud deployments, has secured a new round of Series C funding amounting to $31 million. With notable customers such as Netflix, Spotify, EA, and Mercadolibre, the company has expanded its workforce from 25 employees last year to 75 employees presently. Moreover, Datadog has ambitious plans to double or even triple its headcount in the coming year. While facing competition from rivals like Boundary, Server Density, and Stackdriver (acquired by Google last year), Datadog continues to provide its unique value proposition.