Overview

Sumo Logic

Stacks193

Followers282

Votes21

Amazon CloudWatch

Stacks11.8K

Followers8.2K

Votes214

Amazon CloudWatch vs Sumo Logic: What are the differences?

1. Scalability and Data Retention: While both Amazon CloudWatch and Sumo Logic offer scalability and data retention options, there is a key difference in how it is achieved. Amazon CloudWatch offers automatic scaling based on the demand and allows you to retain your data for an extended period with its long-term storage feature. On the other hand, Sumo Logic provides a highly scalable and distributed architecture that allows you to collect and store vast amounts of log data for real-time analysis and compliance purposes.
2. Log Data Processing: Amazon CloudWatch primarily focuses on collecting, analyzing, and visualizing metrics and log data from AWS resources, including services such as Amazon EC2, Amazon RDS, and others. It provides insights into the performance and health of your AWS infrastructure. In contrast, Sumo Logic specializes in log data processing and analysis, regardless of the source or infrastructure. It supports multi-cloud and hybrid environments, making it suitable for organizations with diverse infrastructures.
3. Real-time Monitoring and Alerting: Amazon CloudWatch offers real-time monitoring capabilities, allowing you to monitor your AWS resources in real-time and set up alarms based on predefined thresholds. It provides timely notifications to help you identify issues and take proactive actions. Sumo Logic also offers real-time monitoring and alerting but goes beyond AWS resources. It enables you to receive alerts and notifications from various sources, including applications, servers, and other systems, providing a holistic view of your entire environment.
4. Log Aggregation and Analytics: Sumo Logic specializes in log aggregation and advanced analytics to derive valuable insights from large amounts of log data. It provides interactive dashboards, search capabilities, and machine learning-powered analytics to help identify patterns, anomalies, and trends in log data. While Amazon CloudWatch offers some log aggregation and analytics features, it is more focused on monitoring and management of AWS resources rather than detailed log analysis.
5. Security and Compliance: Both Amazon CloudWatch and Sumo Logic prioritize security and compliance. Amazon CloudWatch adheres to various security best practices and provides integrations with AWS Identity and Access Management (IAM) for access control. It also supports compliance requirements such as HIPAA, GDPR, and ISO 27001. Sumo Logic also offers advanced security features like encryption, role-based access control, and supports compliance with industry standards. It is worth noting that compliance requirements may vary, so it's important to understand which specific regulations apply to your organization.
6. Integration and Extensibility: Amazon CloudWatch provides seamless integration with other AWS services, allowing you to collect and monitor data from a wide range of resources within your AWS environment. It offers APIs and SDKs to extend its functionality and integrate with third-party tools. Sumo Logic also supports integration with various cloud platforms, on-premises systems, and offers APIs and SDKs for extensibility. Its extensibility also enables integration with various DevOps and security tools for a comprehensive monitoring and analytics solution.

In summary, while both Amazon CloudWatch and Sumo Logic offer monitoring and analytics capabilities, the key differences lie in their focus, scalability options, data processing capabilities, and integrations. Amazon CloudWatch specializes in monitoring AWS resources, providing real-time insights, and is tightly integrated within the AWS ecosystem. Sumo Logic, on the other hand, excels in log data processing and analysis, offering scalability, real-time monitoring, and analytics across diverse infrastructures.

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Detailed Comparison

Sumo Logic	Amazon CloudWatch
Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.	It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.
Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications	Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.;Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.;Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.;Elastic Load Balancers: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon RDS DB instances: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon SQS queues: eight pre-selected metrics at five-minute frequency, free of charge.;Amazon SNS topics: four pre-selected metrics at five-minute frequency, free of charge.;Amazon ElastiCache nodes: twenty-nine pre-selected metrics at one-minute frequency, free of charge.;Amazon DynamoDB tables: seven pre-selected metrics at five-minute frequency, free of charge.;AWS Storage Gateways: eleven pre-selected gateway metrics and five pre-selected storage volume metrics at five-minute frequency, free of charge.;Amazon Elastic MapReduce job flows: twenty-three pre-selected metrics at five-minute frequency, free of charge.;Auto Scaling groups: seven pre-selected metrics at one-minute frequency, optional and charged at standard pricing.;Estimated charges on your AWS bill: you can also choose to enable metrics to monitor your AWS charges. The number of metrics depends on the AWS products and services that you use, and these metrics are free of charge. Learn more about this option.
Statistics
Stacks 193	Stacks 11.8K
Followers 282	Followers 8.2K
Votes 21	Votes 214
Pros & Cons
Pros 11 Search capabilities 5 Live event streaming 3 Pci 3.0 compliant 2 Easy to setup Cons 2 Expensive 1 Occasionally unreliable log ingestion 1 Missing Monitoring	Pros 76 Monitor aws resources 46 Zero setup 30 Detailed Monitoring 23 Backed by Amazon 19 Auto Scaling groups Cons 2 Poor Search Capabilities
Integrations
Amazon CloudFront Amazon S3 Akamai AWS CloudTrail	No integrations available

What are some alternatives to Sumo Logic, Amazon CloudWatch?

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

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Loggly

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Logentries

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Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Stackdriver

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Sematext

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Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.