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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Stackdriver vs Sumo Logic

Stackdriver vs Sumo Logic

OverviewComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
Stackdriver
Stackdriver
Stacks318
Followers349
Votes67

Stackdriver vs Sumo Logic: What are the differences?

<Write Introduction here>
  1. Data Collection and Analysis: Stackdriver primarily focuses on monitoring and observability of cloud resources within Google Cloud Platform, allowing users to collect, view, and analyze metrics, logs, and traces for troubleshooting and optimization. In contrast, Sumo Logic provides log management and analysis services across multiple cloud platforms, enabling users to centralize log data from different sources for real-time insights, troubleshooting, and compliance monitoring.

  2. Pricing Model: Stackdriver offers a tiered pricing model based on the volume of logs ingested and the duration of retention, with a limited free tier available for basic monitoring. Sumo Logic, on the other hand, uses a consumption-based pricing model, charging users based on the volume of data analyzed and the retention period, offering flexibility but potentially leading to higher costs for large-scale operations.

  3. Alerting and Notification: Stackdriver provides customizable alerting capabilities that enable users to create alerting policies based on predefined conditions and thresholds, triggering notifications via various channels. Sumo Logic also offers alerting features, allowing users to set up alerts on specific log events or patterns, but it lacks the extensive customization options provided by Stackdriver.

  4. Integration Capabilities: Stackdriver seamlessly integrates with other Google Cloud services, allowing users to monitor and analyze resources within the GCP environment. Sumo Logic, on the other hand, supports integration with a wide range of cloud platforms, applications, and infrastructure services, enabling users to consolidate log data from diverse sources for comprehensive analysis.

  5. Machine Learning and AI: Stackdriver leverages Google's advanced machine learning algorithms to provide anomaly detection and forecasting capabilities, enabling proactive monitoring and automatic issue resolution. Sumo Logic also incorporates machine learning technology for log pattern recognition and anomaly detection, enhancing the platform's ability to identify and resolve operational issues efficiently.

  6. Compliance and Security Features: Stackdriver offers predefined compliance templates and security best practices for GCP services, facilitating regulatory adherence and security compliance. Sumo Logic provides built-in compliance reports, audit trails, and data encryption features to ensure data security and regulatory compliance across multiple cloud environments.

In Summary, Stackdriver and Sumo Logic differ in their focus on data collection, pricing models, alerting capabilities, integration options, machine learning features, and compliance/security offerings.

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Detailed Comparison

Sumo Logic
Sumo Logic
Stackdriver
Stackdriver

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.

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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
Monitoring;Logging;Diagnostics;Application Tracing;Error Reporting;Alerting;Uptime Monitoring;Multi-cloud;Production Debugger;
Statistics
Stacks
192
Stacks
318
Followers
282
Followers
349
Votes
21
Votes
67
Pros & Cons
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Missing Monitoring
  • 1
    Occasionally unreliable log ingestion
Pros
  • 19
    Monitoring
  • 11
    Logging
  • 8
    Alerting
  • 7
    Tracing
  • 6
    Uptime Monitoring
Cons
  • 2
    Not free
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
No integrations available

What are some alternatives to Sumo Logic, Stackdriver?

Papertrail

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

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.

Amazon CloudWatch

Amazon CloudWatch

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.

Loggly

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

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

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

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

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

Fluentd

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

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.

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