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Sumo Logic reviews

Sumo Logic

Cloud-native platform for log management, monitoring, and SIEM solutions
our rating 4.5 out of 5 Stars

Sumo LogicProduct Overview

  1. About Sumo Logic
  2. Pros of Sumo Logic
  3. Cons of Sumo Logic
  4. Breakdown of core features

Sumo Logic product overview

Sumo Logic provides cloud monitoring, log management, Cloud SIEM tools, and real-time insights for web and SaaS-based apps. It empowers digital businesses through its Continuous Intelligence Platform™, which allows developers to deliver reliable and secure cloud-native applications. Moreover, it puts the power of machine data analytics in the hands of everyone by unifying all data types, enabling universal access, and leveraging cloud economics — all from a single platform.

Sumo Logic brings continuous intelligence, which lets organizations of all sizes address the data challenges and opportunities presented by digital transformation, modern applications, and cloud computing. The platform automates the collection, ingestion, and analysis of application, infrastructure, security, and IoT data to derive actionable insights within seconds. Organizations rely on it to build, run, and secure modern applications and cloud infrastructures. Sumo Logic uses a true multi-tenant SaaS architecture across multiple use-cases so businesses can thrive in the Intelligence Economy.

The solution transforms an overwhelming volume of data generated from digital services into valuable insights. In addition, it detects and resolves security threats and extracts critical business indicators to gain insights into customer behavior and engagement. With Sumo Logic, customers improve how they monitor and troubleshoot applications and infrastructure and manage audit and compliance requirements.

Pros of Sumo Logic

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  • The platform has an enterprise-grade, secure multi-tenant architecture that processes more than 200 petabytes of data. It also handles over 20 million queries daily for enterprises around the world.
  • It gives context across users, networks, devices, alerts, cloud services, and applications while prioritizing the information needed to speed response times.

Cons of Sumo Logic

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  • According to users, Sumo Logic’s training documentation needs improvement.

Breakdown of core features

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SIEM

Sumo Logic speeds up incident investigations by automatically triaging alerts and correlating threats across on-prem, cloud, multi-cloud, and hybrid cloud sources. Its cloud-based SIEM supports collecting log and event data from infrastructure and applications. It also enables the correlation of the collected data to scale down the volume of info required to sift through to investigate issues.

Cloud security monitoring and analytics

The system generates deep security insights via use-case-driven queries, dashboards, and alerts. It facilitates cloud-native data monitoring and analysis that gives actionable security awareness for cloud and on-premises environments. It also streamlines prioritizing and investigation of security insights within the infrastructure.

Alert analytics

Sumo Logic provides a convergence of data sources, collecting millions of logs and security-relevant data from various architectures. It uses pattern and threat intelligence matching with correlation logic, statistical evaluation, and anomaly detection to filter the raw records down to thousands of Signals in near real-time.

Correlation-based detection

The platform’s insights represent the intelligent and prioritized clustering of Signals and other data enrichments for analysts to immediately investigate. Insights decrease validation and investigation times by presenting an automatically generated storyline of potential security incidents containing all relevant context analysts need to make rapid response decisions.

(Last updated on 07/08/2022 by Liz Laurente-Ticong)

Quick Facts

  • Industry Specialties
    All Industries
  • Pricing
    High-end
  • Works Best For
    Any Sized Businesses

Screenshots

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Video

Features

  • Tiered data analytics
  • Real-time threat detection
  • Correlation-based detection
  • Log data retention
  • Real-time alerting (monitors Logs/Metrics)
  • Global Intelligence
  • Application Observability
  • Cloud Log Management
  • Infrastructure Monitoring
  • Multi-Cloud Observability
  • Real User Monitoring (RUM)
  • Cloud Security Analytics
  • Cloud SIEM
  • Cloud SOAR
  • Security Audit and Compliance
  • Alert Response
  • Enterprise audit logging and dashboards
  • GEO/IP lookups
  • Historical and live streaming dashboards
  • Ingest budgets
  • Live tail for streaming logs
  • LogReduce®, LogCompare, and Log Explain

Integrations

  • Microsoft Azure
  • Google Cloud
  • AWS
  • Crowdstrike
  • Okta
  • OneLogin
  • ServiceNow
  • Palo Alto Networks
  • MongoDB
  • Catchpoint
  • API integrations

Pricing Model

  • Essentials
  • Enterprise Operations
  • Enterprise Security
  • Enterprise Suite

Languages

  • English