Best Log Analysis Software for Apache Kafka

New Relic’s enterprise-grade Log Analysis solutions provide a complete platform for collecting, analyzing, and visualizing log data across your applications and infrastructure. Built for large-scale environments, our unified data platform consolidates log data from multiple sources, offering robust full-stack analysis tools that yield deep insights into system behavior and performance. With real-time monitoring, advanced search features, and customizable dashboards, New Relic empowers you to identify trends, troubleshoot issues, and enhance system performance. Simplify log management, improve operational efficiency, and unlock actionable insights with New Relic’s advanced Log Analysis solutions.

LogIsland is the heart of Hurence’s real-time analytics. It allows you to capture factory events, IIoT, and events from your websites. Hurence says that a factory or, more broadly, a company can be understood and monitored in real-time through all events that it encounters. A sales order is an example of an event, while the production of a piece of robot-controlled machinery is an instance of an event, and the delivery of a product an event. Every event is an event. LogIsland allows you to capture all of these events, place them in a messagebus for large volumes, and analyze them in real-time with plug and play analyzers. These analyzers range from simple (counting alerts, recommendations), up to more complex artificial intelligence models for detection and prediction of anomalies and defects. You have two options for real-time analysis of events: custom analyzers for web analytics or industry 4.0.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

With more than 50,000 customer installations across the five continents, Pandora FMS is a truly all-in-one monitoring solution, covering all traditional silos for specific monitoring: servers, networks, applications, logs, synthetic/transactional, remote control, inventory, etc. Pandora FMS allows you to quickly find and solve problems. It scales them so that they can be derived either from on-premise, multi-cloud, or both. You now have the ability to use your entire IT stack and analytics to solve any problem, even those that are difficult to find. You can control and manage any technology and application with more than 500 plugins, including SAP, Oracle, Lotus or Citrix, Jboss, VMware, AWS and SQL Server.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

All your logs and metrics can be gathered, transformed, and routed with one tool. Vector, a Rust-based tool, is lightning fast and memory efficient. It can handle even the most challenging workloads. Vector is the only tool you will need to get observability information from A to B. It can be deployed as a sidecar, daemon, or aggregator. Vector supports metrics and logs, making it easy for you to collect and process all your observation data. Vector does not favor any particular vendor platform and promotes an open, fair ecosystem that serves your best interests. Future proof and lock-in-free. Vector's configurable transforms allow you to harness the power of programmable runtimes. You can handle complex use cases without limitations. Vector understands that guarantees are important and can help you choose the right trade-offs for your particular use case.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

DataSet retains live, searchable real-time insights. DataSet can host or manage low-cost, S3 storage for customers. Incorporate structured, semistructured, and nonstructured data faster than before. No data schema is required to create a limitless enterprise infrastructure that can be used for live data queries, insights, analytics, and retention. The technology of choice among engineering, DevOps and IT teams to unlock data's power. A patented parallel processing technology delivers sub-second query response times. Make better business decisions by working faster and smarter. Ingest hundreds terabytes of data with ease. No need to rebalance nodes, manage storage, or reallocate resources. Scale in an infinitely flexible platform. A cloud-native architecture that is efficient minimizes costs and maximizes output. Profit from a cost-model that is predictable and delivers unmatched performance.

Log data can provide powerful insights to help you achieve complete security observability. Multi-platform tool that enhances threat prevention and improves infrastructure visibility. With over 120 configurable modules and support for more than 100 operating system versions, you can gain comprehensive insights as well as increased security. Reduce the cost of your SIEM by reducing noise and unnecessary log data. Filter events, trim unused fields and remove duplicates in order to improve the quality of your logs. With a single tool, you can collect and aggregate logs across your entire organization. Reduce the complexity of managing security-related incidents and reduce detection and response time. By centralizing certain logs into an SIEM, and archiving other logs on your long-term storage, you can empower your organization to meet compliance regulations. NXLog Platform provides centralized log management with flexible processing.

The only real-time, analytics driven multicloud monitoring solution (formerly SignalFx). Monitor any environment using a highly scalable streaming architecture. Open, flexible data collection and quick visualizations of services in seconds. This purpose is for dynamic and ephemeral cloud-native environments of any size (e.g. Kubernetes containers, serverless, container). Identify, visualize, and resolve issues immediately. Predictive streaming analytics allows you to monitor infrastructure performance at cloud scale in real-time. More than 200 pre-built cloud integrations and out-of the-box dashboards allow for quick visualization of your entire stack. Autodiscover, break down, group, and explore cloud, services, and systems. You can quickly and easily see how your infrastructure behaves in relation to different availability zones, Kubernetes Clusters, and other services.