Scalyr vs Sumo Logic

Overview

Sumo Logic

Stacks192

Followers282

Votes21

Scalyr

Stacks40

Followers59

Votes12

Scalyr vs Sumo Logic: What are the differences?

<Write Introduction here>

Cost Effectiveness: Scalyr offers a more cost-effective pricing structure compared to Sumo Logic, making it a more budget-friendly option for smaller businesses or startups.
User Interface: Sumo Logic provides a more user-friendly and intuitive interface for users, while Scalyr's interface may be perceived as more complex and less intuitive for beginners.
Search Speed: Scalyr boasts faster search and log processing speeds due to its unique architecture, allowing users to efficiently analyze large volumes of data in real-time.
Feature Set: Sumo Logic offers a wider range of advanced features and integrations such as machine learning capabilities and third-party tool integrations, making it more suitable for enterprises with complex requirements.
Data Retention: Scalyr allows for longer data retention periods compared to Sumo Logic, which may be crucial for organizations needing to access historical data for compliance or analysis purposes.
Customization Options: Sumo Logic provides more customization options and flexibility in terms of creating custom dashboards, alerts, and reports, catering to users with specific monitoring and analytics needs.

In Summary, Scalyr and Sumo Logic differ in cost-effectiveness, user interface, search speed, feature set, data retention, and customization options.

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Detailed Comparison

Sumo Logic	Scalyr
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.	Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.
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	Remote log monitoring; log aggregation; real-time reporting; custom alerts; custom dashboards; custom log parsers; user permissions; audit trails; log search and drill-down; custom metrics
Statistics
Stacks 192	Stacks 40
Followers 282	Followers 59
Votes 21	Votes 12
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 Speed of queries 4 Blazing fast logs search 1 Simple usage
Integrations
Amazon CloudFront Amazon S3 Akamai AWS CloudTrail	HipChat Rackspace Cloud Servers Docker Redis Kubernetes Amazon Redshift Amazon RDS PostgreSQL Apache HTTP Server MySQL

What are some alternatives to Sumo Logic, Scalyr?

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.

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Related Comparisons

Scalyr vs Sumo Logic: What are the differences?

<Write Introduction here>

Cost Effectiveness: Scalyr offers a more cost-effective pricing structure compared to Sumo Logic, making it a more budget-friendly option for smaller businesses or startups.
User Interface: Sumo Logic provides a more user-friendly and intuitive interface for users, while Scalyr's interface may be perceived as more complex and less intuitive for beginners.
Search Speed: Scalyr boasts faster search and log processing speeds due to its unique architecture, allowing users to efficiently analyze large volumes of data in real-time.
Feature Set: Sumo Logic offers a wider range of advanced features and integrations such as machine learning capabilities and third-party tool integrations, making it more suitable for enterprises with complex requirements.
Data Retention: Scalyr allows for longer data retention periods compared to Sumo Logic, which may be crucial for organizations needing to access historical data for compliance or analysis purposes.
Customization Options: Sumo Logic provides more customization options and flexibility in terms of creating custom dashboards, alerts, and reports, catering to users with specific monitoring and analytics needs.

In Summary, Scalyr and Sumo Logic differ in cost-effectiveness, user interface, search speed, feature set, data retention, and customization options.

Scalyr vs Sumo Logic

Overview