AWS CloudTrail vs Sumo Logic

Overview

Sumo Logic

Stacks192

Followers282

Votes21

AWS CloudTrail

Stacks304

Followers280

Votes14

AWS CloudTrail vs Sumo Logic: What are the differences?

Data Source: AWS CloudTrail mainly focuses on auditing and tracking activities within the AWS environment, such as API calls, while Sumo Logic is a cloud-based log management and analytics service that can also ingest logs and metrics from various sources outside of AWS, providing a more comprehensive view of the entire infrastructure.
Integration with Third-Party Platforms: Sumo Logic offers integrations with a wide range of third-party applications and services, facilitating a more holistic monitoring and analysis approach. On the other hand, AWS CloudTrail's integration is primarily oriented towards AWS services, limiting its scope of data analysis to within the AWS ecosystem.
Real-time Monitoring: Sumo Logic provides real-time monitoring and alerting capabilities, enabling users to detect issues as they occur and take immediate action. In contrast, AWS CloudTrail emphasizes historical data analysis and compliance monitoring rather than instant visibility into ongoing events.
User Interface: Sumo Logic offers a user-friendly, customizable dashboard that allows users to visualize and analyze data effectively. In comparison, while AWS CloudTrail provides detailed logs, the presentation and analysis of this information may require additional tools or skills due to a less user-friendly interface.
Cost Structure: Sumo Logic typically operates on a subscription-based pricing model, where users pay according to the volume of data ingested and processed. In contrast, AWS CloudTrail is included as part of the AWS account services, with costs primarily based on data storage and access rather than usage volume.
Anomaly Detection: Sumo Logic offers advanced anomaly detection features, leveraging machine learning algorithms to identify abnormal patterns and potential security threats. In contrast, while AWS CloudTrail provides detailed logs for analysis, it may not provide the same level of proactive threat detection capabilities as Sumo Logic.

In Summary, AWS CloudTrail and Sumo Logic differ in their data sources, integrations, real-time monitoring, user interface, cost structure, and anomaly detection capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Sumo Logic	AWS CloudTrail
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.	With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.
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	Increased Visibility- CloudTrail provides increased visibility into your user activity by recording AWS API calls. You can answer questions such as, what actions did a given user take over a given time period? For a given resource, which user has taken actions on it over a given time period? What is the source IP address of a given activity? Which activities failed due to inadequate permissions?;Durable and Inexpensive Log File Storage- CloudTrail uses Amazon S3 for log file storage and delivery, so log files are stored durably and inexpensively. You can use Amazon S3 lifecycle configuration rules to further reduce storage costs. For example, you can define rules to automatically delete old log files or archive them to Amazon Glacier for additional savings.;Easy Administration- CloudTrail is a fully managed service; you simply turn on CloudTrail for your account using the AWS Management Console, the Command Line Interface, or the CloudTrail SDK and start receiving CloudTrail log files in the Amazon Simple Storage Service (Amazon S3) bucket that you specify.;Reliable- CloudTrail continuously transports events from AWS services using a highly available and fault tolerant processing pipeline.;Timely Delivery- CloudTrail typically delivers events within 15 minutes of the API call.;Log File Aggregation- CloudTrail can be configured to aggregate log files across multiple accounts and regions so that log files are delivered to a single bucket. Please refer to the of the AWS CloudTrail User Guide for detailed instructions.;Notifications for Log File Delivery- CloudTrail can be configured to publish a notification for each log file delivered, thus enabling you to automatically take action upon log file delivery. CloudTrail uses the Amazon Simple Notification Service (SNS) for notifications.;Choice of Partner Solutions- Multiple partners including AlertLogic, Boundary, Loggly, Splunk and Sumologic offer integrated solutions to analyze CloudTrail log files. These solutions include features like change tracking, troubleshooting, and security analysis.
Statistics
Stacks 192	Stacks 304
Followers 282	Followers 280
Votes 21	Votes 14
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 7 Very easy setup 3 Good integrations with 3rd party tools 2 Backup to S3 2 Very powerful
Integrations
Amazon CloudFront Amazon S3 Akamai	Boundary Loggly Splunk Cloud

What are some alternatives to Sumo Logic, AWS CloudTrail?

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

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

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.

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

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.

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.