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Products classified in the overall Log Analysis category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Log Analysis to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Log Analysis category.
In addition to qualifying for inclusion in the Log Analysis Software category, to qualify for inclusion in the Small Business Log Analysis Software category, a product must have at least 10 reviews left by a reviewer from a small business.
LogDNA is a centralized log management solution that empowers DevOps teams with the tools that they need to develop and debug their applications with ease. LogDNA’s innovative features put users in control of their data, allowing them to gain valuable insights from their logs.
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration,
Logz.io is a cloud observability platform for modern engineering teams. The Logz.io platform consists of three products—Log Management, Infrastructure Monitoring, and Cloud SIEM — that work together to unify the jobs of monitoring, troubleshooting, and security. We empower engineers to deliver better software by offering the world's most popular open source observability tools— the ELK Stack, Grafana, and Jaeger—in a single, easy to use, and powerful platform purpose-built for monitoring distrib
Sumo Logic is the pioneer of continuous intelligence, a new category of software, which enables organizations of all sizes to address the data challenges and opportunities presented by digital transformation, modern applications and cloud computing. The Sumo Logic Continuous Intelligence Platform™ automates the collection, ingestion and analysis of application, infrastructure, security and IoT data to derive actionable insights within seconds. More than 2,000 customers around the world rely on S
Coralogix is a Log Analytics and Cloud Security platform that empowers thousands of leading companies with ML-powered insights to improve stability and accelerate their version delivery without paying for the noise that their systems generate. Reengineered Elasticsearch engine allows you to pay according to data priority instead of solely on volume by offering queries, alerts, custom metrics, and ML-powered insights without needing to index your logs. Take a leap in your monitoring coverage whi
Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance of applications, the underlying infrastructure and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That’s why many of the world’s largest enterprises trust D
Graylog is a leading centralized log management solution built to open standards for capturing, storing, and enabling real-time analysis of terabytes of machine data. Tens-of-thousands of IT professionals rely on Graylog’s scalability, comprehensive access to complete data, and exceptional user experience to solve security, compliance, operational, and DevOps issues every day. Purpose-built for modern log analytics, Graylog removes complexity from data exploration, compliance audits, and threa
Built for engineers by engineers, Scalyr is log management so fast you actually use it. Unlike traditional logging tools, only Scalyr is architected for revenue-generating software whose creators need to go fast, keep things simple, and empower their teams. Scalyr's rapidly-growing customer base includes NBC Universal, Business Insider, and Flexport.
Businesses rely on a vast array of tools, including applications, legacy systems, and mainframes. These tools produce log files (or logs) which are records of events that occur in an operating system or other software. These messages based on activity and data flow indicate how the resources within the network environment are performing or being used. Log analysis software helps to not only document and collect these logs, but also provides tools for analyzing them to better understand the cause and impact of events.
Key Benefits of Log Analysis Software
As IT infrastructure becomes more complex and distributed, it is becoming increasingly important to ensure that it is properly understood in all of its facets. Log analysis software provides the tools that businesses need to understand the infrastructure, whether it is an application, operating system, or device. Log analysis helps users understand patterns and trends in activity within the infrastructure. Log analysis data may be used to troubleshoot performance issues with specific applications and identify potentially threatening anomalies. Regular log management, analysis, and archiving are also key tasks for demonstrating compliance with various security standards and regulations. Overall, users are enabled to make the most of the benefits of log data analysis by incorporating log analysis tools into their business practices.
Compliance — With log analysis tools, businesses continually track whether they are meeting benchmarks for regulations such as General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).
Better security — Log analysis provides instant awareness of any security red flags. A log analyzer tool helps block and filter incoming network traffic, keep IT admins alerted about failed authentication attempts, and ensure firewall configurations are operating most effectively.
Smarter business operations — Departments such as finance and accounting, HR, and legal rely on IT resources to carry out their business-critical tasks and responsibilities. Hence, log analysis tools provide the functionality necessary to spot critical system errors or trends and address them quickly and efficiently.
In a data-driven organization, various departments adopt analytics tools for a wide range of purposes. While data analysts and data scientists are the most common users of big data analytics software, self-service tools allow for a wider range of end users and can be leveraged by sales, marketing, and operations teams. Additionally, while there are point solutions that provide analytics for very specific departmental purposes, such as marketing analytics software, sales analytics software, and HR analytics software, among others, big data analytics tools offer the same functionality on a much broader level and allow for cross-departmental insights. Application developers, system engineers, and teams that regularly monitor IT infrastructure benefit greatly from log analysis solutions.
Healthcare — Technological uptime and performance are imperative when the goal is improving the customer’s health. Log analysis solutions allow providers to monitor their IT in real time, which helps catch and prevent downtimes before they affect patients. Full topological and transactional visibility provided by log analysis software helps providers continue giving quality patient care despite technological hiccups.
Retail — If web purchases drive a majority of the business revenue, optimal website and web application performance is critical. Continual monitoring helps businesses to not only avoid overloads but also understand their standard traffic patterns. This is then utilized to predict the optimal allocation of resources for site growth.
Log analysis software, with logs at its core, is able to handle different varieties of logs, allowing businesses to get a bird's eye view of their IT system and beyond. As such, it is helpful to understand the different types of logs which these tools analyze.
Event logs — Event logs record events taking place in the execution of a system to provide an audit trail that is used to understand the activity of the system and to diagnose problems. They are essential to understand the activities of complex systems, particularly in the case of applications with little user interaction, such as server applications.
Transaction logs — Most database systems maintain some kind of transaction log, which are not mainly intended as an audit trail for later analysis, and are not intended to be human readable. These logs record changes to the stored data to allow the database to recover from crashes or other data errors and maintain the stored data in a consistent state.
Message logs — Instant messaging programs, peer-to-peer file applications with chat functions, and multiplayer games commonly have the ability to automatically log or save textual communication, both public and private chat messages between users.
Log analysis tools are designed to streamline the process of collecting, archiving, and deriving actionable insights from data log files. They both centralize and standardize logs from across the network. The files come in different formats as many different elements of IT infrastructure generate event logs. Log viewer software streamlines the process by relegating all files to a shared format and terminology. This ensures cohesive and uniform analysis and archiving, and more accurate and comprehensive reports and statistics.
Monitoring — Monitoring is a large part of log analysis. These features help detect, predict, and prevent future anomalies. Companies use this data to better understand performance failures, remediate them, and learn how to prevent them in the future.
Visualization — Customizable dashboards help align teams by visualizing logs, metrics, and performance data for full-stack visibility and reliable delivery.
Alerting — Real-time analytics help users rapidly identify and resolve potential cyber attacks, detect and prevent breaches, and reduce compliance costs.
Data centralization — Log analytics tools integrate with applications and make it easy to aggregate data across the stack.
Search — Log analysis software help businesses query, filter, and analyze log data effectively and efficiently. For more advance tools, users are enabled to search in a natural, intuitive manner or sift through many logs with a few clicks.
Plan for adoption — At the start, analytics tools may not seem valuable to all employees; end users might struggle to adopt the solutions. Therefore, it’s important for companies to have a plan to encourage and promote user adoption.
Time to market — As with any software implementation, it is important to think about how long it will take to implement. Users should also consider related software that a company might need, such as data integration software.
Data security — Companies must consider security options to ensure the correct users see the correct data. It must also have security options that allow administrators to assign verified users different levels of access to the platform.