Best Observability Software - Page 2

How Many Observability Software Products Does G2 Track?

Total Products under this Category: 149

Category Stats (Oct 2026)

  • Average Rating: 4.56/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: APIContext (+1.78%) - Among all products in this category, APIContext recorded the largest rating increase compared to last month

Last updated: October 26, 2026

How Does G2 Rank Observability Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 18,200+ Authentic Reviews
  • 149+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Observability Software

G2 Grid® for Observability Software plotting products by satisfaction and market presence

Highlighted products: Datadog, IBM Instana, Sentry, Coralogix, Grafana Labs, Site24x7, Dynatrace, and NETSCOUT Network & Application Observability.

Underlying data: [Grid® JSON](https://www.g2.com/categories/observability-software/grids.json?focus%5B%5D=datadog&focus%5B%5D=ibm-instana&focus%5B%5D=sentry&focus%5B%5D=coralogix&focus%5B%5D=grafana-labs&focus%5B%5D=site24x7&focus%5B%5D=dynatrace&focus%5B%5D=netscout-network-application-observability)

Dash0

Dash0 closes the loop from code to production in the AI era. Built natively on OpenTelemetry, Dash0 tracks what AI builds, observes everything running in production, and fixes problems autonomously, all powered by a single, OpenTelemetry native data foundation. Dash0 helps engineering teams ship more and break less in a world where code moves at machine speed.

Average Rating: 4.8/5.0

Total Reviews: 43

Who Is the Company Behind Dash0?

  • Seller: Dash0
  • Company Website:
  • Year Founded: 2023
  • HQ Location: New York
  • Twitter: @dash0hq
    2,320 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    226 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 47% Small, 36% Medium

What Do G2 Reviewers Say About Dash0?

AI-generated summary from verified user reviews

Pros
  • Users find Dash0's ease of use exceptional, with intuitive features and straightforward setup for quick integration.
  • Users love Dash0's responsive customer support, finding the team's assistance crucial for a smooth experience.
  • Users value Dash0's intuitive UI/UX, appreciating its seamless integration and efficient observability features.
  • Users find the easy setup of Dash0 allows for quick integration and seamless data management in Kubernetes.
  • Users appreciate the easy integrations of Dash0, enabling seamless setup and fast transition from existing systems.
Cons
  • Users have noted limited features in Dash0, with many advanced tools still not available for use.
  • Users have experienced feature deficiencies with Dash0, though updates have improved functionality over time.
  • Users note the missing features in Dash0, expressing a desire for enhanced functionality and additional integrations.
  • Users face limited customization options with Dash0, impacting mobile usability and dashboard functionality.
  • Users note feature limitations in Dash0, seeking expanded capabilities and enhanced integrations for improved functionality.

What Are Recent G2 Reviews of Dash0?

OpenObserve

OpenObserve (also known as O2) is an open-source, cloud-native observability platform built in Rust that unifies logs, metrics, traces, real user monitoring (RUM), and LLM/AI telemetry into a single, powerful solution. Designed for modern cloud environments, it delivers enterprise-grade observability at up to 140x lower storage cost than Elasticsearch-based stacks, making full data retention practical without sampling. At its core, OpenObserve stores all observability data as Apache Parquet on object storage (Amazon S3, Google Cloud Storage, Azure Blob, or MinIO), achieving approximately 40x compression on ingested volume. This columnar storage format enables petabyte-scale data handling with SIMD-accelerated, vectorized query processing for fast, real-time insights. The platform deploys as a single binary or Helm chart on Kubernetes and can be running in under two minutes — with no complex configuration required. OpenObserve supports SQL as its primary query language for logs and traces, and PromQL for metrics, eliminating the need to learn proprietary query languages like LogQL or TraceQL. It features 19+ chart types for interactive dashboards, built-in alerting with real-time and scheduled evaluation, SLOs with burn-rate alerting, and an incident management system that automatically correlates related alerts — reducing alert noise by 80–90%. The platform is OpenTelemetry-native, meaning any OTel-instrumented application or collector works out of the box without proprietary agents. It also supports Prometheus remote write, Fluent Bit, Vector, Fluentd, Filebeat, Telegraf, Logstash, syslog, Amazon Kinesis, Amazon CloudWatch, NetFlow, SNMP, and the Elasticsearch bulk API, giving teams 150+ integrations across frontend, AI/LLM frameworks, cloud infrastructure, databases, and networks. OpenObserve includes a built-in AI SRE Agent that automatically investigates incidents the moment an alert fires, performs multi-signal root cause analysis across logs, metrics, and traces, and generates structured RCA reports with contributing factors, timelines, and remediation steps. The AI Assistant enables natural language querying of observability data, and the MCP Server allows external AI agents and IDEs to query observability data directly with RBAC-scoped, audited access. For AI and LLM workloads, OpenObserve provides first-class LLM Observability: tracing every prompt, tool call, token usage, latency, and cost across 80+ frameworks and providers including OpenAI, Anthropic, LangChain, CrewAI, LlamaIndex, and more. It also supports online and offline AI evaluations, LLM-as-a-judge scoring, and human annotation workflows. Pricing is ingestion-based with no per-host, per-seat, or per-metric fees — unlimited users on every plan. The Open Source edition is free forever for self-hosting. The Self-Hosted Enterprise edition is free up to 50 GB/day and includes SSO, RBAC, audit trail, federated search, and SOC 2 Type II compliance features. Cloud Professional starts at $0.50/GB ingested with a 14-day free trial and no credit card required. Cloud Enterprise offers volume discounts and bring-your-own-bucket (BYOB) support. OpenObserve is used by over 9,000 organizations, from startups to Fortune 100 companies ingesting more than 4 PB/day.

Average Rating: 4.8/5.0

Total Reviews: 21

Who Is the Company Behind OpenObserve?

  • Seller: OpenObserve
  • Company Website:
  • Year Founded: 2022
  • HQ Location: San Francisco, California, United States
  • Twitter: @OpenObserve
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 61% Small, 35% Medium

What Are Recent G2 Reviews of OpenObserve?

ManageEngine Applications Manager

ManageEngine Applications Manager is an application performance & IT infrastructure monitoring solution that is designed to combat modern infrastructure problems and ensure that your business and end users are unaffected by substandard performance and downtime. By leveraging deep application performance monitoring with byte-code instrumentation, infrastructure monitoring, hybrid cloud monitoring, and digital experience monitoring from a single console, IT and DevOps teams will be able to gain code-level insights, automate their processes, pinpoint & resolve performance issues, and deliver better business outcomes. Overall, our product will help businesses optimize application usage & revenue, reduce MTTR, improve DevOps processes, migrate to the cloud with confidence, respond to incidents faster, and ensure seamless user experiences.

Average Rating: 4.7/5.0

Total Reviews: 112

Who Is the Company Behind ManageEngine Applications Manager?

  • Seller: Zoho
  • Year Founded: 1996
  • HQ Location: Austin, TX
  • Twitter: @Zoho
    137,880 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    30,913 employees on LinkedIn®
  • Phone: +1 (888) 900-9646

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Medium, 41% Large

What Do G2 Reviewers Say About ManageEngine Applications Manager?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the real-time monitoring capabilities of ManageEngine Applications Manager, enhancing visibility and troubleshooting efficiency.
  • Users value the real-time monitoring capabilities of ManageEngine Applications Manager, enhancing troubleshooting and application health visibility.
  • Users value the real-time monitoring features of ManageEngine Applications Manager for proactive issue resolution and performance tracking.
  • Users value the real-time monitoring capabilities of ManageEngine Applications Manager, enhancing their ability to troubleshoot proactively.
  • Users value the real-time visibility in ManageEngine Applications Manager, enabling proactive issue resolution and performance monitoring.
Cons
  • Users experience limited features that hinder integration and scalability, making it hard to monitor efficiently.
  • Users face feature limitations in ManageEngine Applications Manager, impacting integration and scalability for large enterprises.
  • Users face integration issues that hinder scalability and complicate monitoring across diverse applications in large environments.
  • Users find the learning curve steep for ManageEngine Applications Manager, complicating setup and utilization of advanced features.
  • Users find the initial setup complexity to be time-consuming and challenging, especially in larger environments.

What Are Recent G2 Reviews of ManageEngine Applications Manager?

What Are G2 Users Discussing About ManageEngine Applications Manager?

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Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works

Last9

Last9 is the preferred single pane of observability for Logs, Traces, Metrics, built for modern engineering teams and high cardinality environments. — OpenTelemetry native, Cloud Native and Prometheus compatible, with support for 100+ integrations — Simple pricing model with a predictable “pay for what you use” plan, no per host or per user billing ——— Application developers, infrastructure engineers, DevOps & SREs, and business users send their Logs, Traces, and Metrics to Last9’s telemetry warehouse to monitor their services and systems and run alerting with anomaly algorithms for changes in patterns and behavior. Users are provided a Control Plane, as a first-class developer experience, to manage their telemetry data, its lifecycle, and its associated costs. Pre-Ingestion Workflows to filter, drop, and enrich data even before it’s stored don’t require instrumentation or code changes, and also enable engineering teams to not sacrifice visibility for cost optimizations. With Last9 built for high cardinality in mind — a generous 20M active time series per metric per day is supported, and tools like Cardinality Explorer & Streaming Aggregations allow identifying and handling telemetry with large cardinality. With correlated telemetry, Last9’s native explorer for Logs, Traces, and Metrics empowers users to quickly debug issues and not change context by allowing to jump between telemetry data, teams have the flexibility to use any tool that they’re comfortable with — either the embedded Grafana dashboard that Last9 comes with, or use Last9 as a data source for their preferred visualization tool. Organizations can choose between a SaaS or a BYOC/on-prem deployment model. Last9 is available on both AWS and GCP marketplaces. ——— Customers include Replit, Disney+ Hotstar, Clevertap, Circle, Probo, and Quickwork. Last9 is backed by Sequoia India (now called Peak XV) and Better Capital, along with a handful of prominent angels and advisors from Hashicorp, GoJek, Razorpay, Sendbird, and more.

Average Rating: 4.7/5.0

Total Reviews: 51

Who Is the Company Behind Last9?

  • Seller: Last9
  • Year Founded: 2020
  • HQ Location: San Francisco, California
  • Twitter: @last9io
    3,031 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    27 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Financial Services
  • Company Size: 67% Medium, 31% Small

What Do G2 Reviewers Say About Last9?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Last9, finding it simplifies monitoring with minimal setup and clear navigation.
  • Users praise Last9 for its responsive and helpful customer support, facilitating smooth platform adoption and effective troubleshooting.
  • Users value the high reliability of Last9, noting its effectiveness in streamlining observability and incident response.
  • Users appreciate the easy integration and debugging features of Last9, enhancing their overall experience and efficiency.
  • Users commend Last9's intuitive monitoring features, enabling efficient incident investigation and reducing response times significantly.
Cons
  • Users experience dashboard issues with data logging and UI unresponsiveness, complicating their troubleshooting tasks.
  • Users note a steep learning curve with Last9's rapid advancements, though the support team is helpful.
  • Users find the difficult learning curve in Last9 challenging, particularly with SLOs and documentation clarity.
  • Users find the initial learning curve steep with Last9, though support from the team helps ease the transition.
  • Users note insufficient documentation, suggesting that clearer guidance would significantly improve usability and productivity.

What Are Recent G2 Reviews of Last9?

Paessler PRTG

Your infrastructure is complex. Your monitoring tool shouldn't be. Paessler PRTG delivers mission-critical visibility across IT and OT environments, deploying in minutes, not months. Whether you're managing servers, switches, virtual machines, cloud services, or industrial systems, PRTG monitors everything from a single platform, so your team always knows what's running, what's struggling, and what needs attention, before users do. Fast to deploy. Easy to run. Auto-discovery finds devices on your network automatically, and 300+ pre-configured sensors cover the most common infrastructure components out of the box. Support for all major protocols (SNMP, WMI, REST APIs, SSH, NetFlow, and more) means PRTG fits into your existing environment without forcing changes to it. Built for lean teams under real pressure. Customizable dashboards give instant visibility across your entire landscape. Flexible alerting (via email, SMS, push notification, or third-party integrations) ensures the right people are notified the moment something goes wrong. Historical trend data helps you spot patterns and plan ahead, not just react. Scales on your terms. From a single site to distributed multi-location environments, PRTG grows with your organization. Available as an on-premises installation or a hosted solution, it adapts to your infrastructure and your IT policies, no rip-and-replace required. Trusted by more than 500,000 users across 190+ countries since 1997, Paessler PRTG is the monitoring standard for IT professionals who need results, not complexity.

Average Rating: 4.7/5.0

Total Reviews: 209

Who Is the Company Behind Paessler PRTG?

  • Seller: Paessler GmbH
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Nuremberg, Germany
  • LinkedIn® Page: www.linkedin.com
    397 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Network Administrator
  • Top Industries: Information Technology and Services, Telecommunications
  • Company Size: 52% Medium, 35% Large

What Do G2 Reviewers Say About Paessler PRTG?

AI-generated summary from verified user reviews

Pros
  • Users find Paessler PRTG's ease of use impressive, enjoying intuitive setup and customizable features for effective monitoring.
  • Users value the reliable monitoring capabilities of PRTG, enjoying its customizable sensors and mobile accessibility.
  • Users highlight the reliable monitoring capabilities of PRTG, enabling efficient tracking of critical network infrastructure.
  • Users value the robust alerting system of PRTG, ensuring immediate notifications for any network disruptions or issues.
  • Users find the easy setup of Paessler PRTG efficient, enabling quick monitoring of their network infrastructure.
Cons
  • Users find the high acquisition cost problematic, complicating the decision to monitor additional metrics and services.
  • Users report slow performance with large reports and dashboards, affecting usability during peak access times.
  • Users report user interface issues with PRTG, finding the web interface dated and the mobile app lacking polish.
  • Users find the learning curve for advanced features of PRTG to be steeper than expected, especially for new users.
  • Users find the complex setup of PRTG challenging, requiring extensive experimentation and fine-tuning for optimal performance.

What Are Recent G2 Reviews of Paessler PRTG?

What Are G2 Users Discussing About Paessler PRTG?

LogicMonitor

LogicMonitor is an AI-first observability platform that helps enterprises protect revenue, brand reputation, and customer experience in a digital-first world. As every customer interaction depends on application and infrastructure performance, downtime is more than an IT issue—it is a business risk. LogicMonitor eliminates blind spots across cloud, infrastructure, applications, and the Internet, giving IT teams unified visibility from user experience to code-level performance. With AI-powered insights, intelligent alerting, and automation, LogicMonitor helps organizations detect, prioritize, and prevent issues before they impact customers. By enabling teams to move from reactive incident response to autonomous IT operations, LogicMonitor helps modern enterprises reduce disruption, operate efficiently at scale, and keep digital services performing reliably. For more information, visit  www.logicmonitor.com and our blog, or follow us on LinkedIn, X, Facebook, and YouTube.

Average Rating: 4.5/5.0

Total Reviews: 592

Who Is the Company Behind LogicMonitor?

  • Seller: LogicMonitor
  • Company Website:
  • Year Founded: 2007
  • HQ Location: Santa Barbara, CA
  • Twitter: @logicmonitor
    12,430 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,258 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Infrastructure Manager, IT Manager
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 52% Medium, 30% Large

What Do G2 Reviewers Say About LogicMonitor?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in LogicMonitor, benefiting from its intuitive navigation and simple management features.
  • Users praise the implementation ease of LogicMonitor, appreciating its fast setup and intuitive platform navigation.
  • Users value the broad range of monitoring features in LogicMonitor, enhancing both infrastructure and application oversight.
  • Users value the comprehensive monitoring of LogicMonitor, providing deep insights into applications and infrastructure effortlessly.
  • Users commend the excellent customer support of LogicMonitor, facilitating enhanced monitoring and problem management effortlessly.
Cons
  • Users find the steep learning curve challenging due to the need for advanced skills and internet reliance.
  • Users note limited features, facing challenges like integrations, training needs, and an expensive licensing model.
  • Users find LogicMonitor to be expensive, especially for small teams without a free tier or affordable licenses.
  • Users find the inadequate monitoring capabilities of LogicMonitor frustrating, especially with traditional server workloads and configuration demands.
  • Users find the complexity of integrations and setup challenging, often requiring external tools and training for effective use.

What Are Recent G2 Reviews of LogicMonitor?

What Are G2 Users Discussing About LogicMonitor?

IBM Concert platform

IBM Concert® is an agentic IT Ops platform that creates an adaptable, unified operational layer across your environment. It connects signals, generates shared context, and coordinates action across teams and tools, so your entire system operates as one. With cross-domain intelligence, Concert helps you reduce risk, maintain business continuity, improve performance, and optimize cost across the stack. Powered by agentic AI, it surfaces what matters, prioritizes business impact, and orchestrates action through governed workflows. 

Average Rating: 4.1/5.0

Total Reviews: 33

Who Is the Company Behind IBM Concert platform?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 37% Small, 34% Large

What Do G2 Reviewers Say About IBM Concert platform?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of IBM Concert, which simplifies project management and enhances team communication effectively.
  • Users value the end-to-end visibility and actionable insights of IBM Concert, enhancing focus and collaboration in their workflows.
  • Users value the automation capabilities of IBM Concert, enhancing efficiency and collaboration while minimizing manual efforts.
  • Users find the easy setup of IBM Concert smooth, enhancing productivity by integrating multiple tools into one platform.
  • Users value IBM Concert for its effective problem-solving capabilities, offering clear insights and speeding up incident resolution.
Cons
  • Users find the learning difficulty of IBM Concert challenging, often requiring time and better onboarding support.
  • Users find the initial setup complex, with a steep learning curve that challenges new users to get acquainted.
  • Users feel the learning curve is steep, making it challenging to grasp all features of IBM Concert quickly.
  • Users face integration issues with IBM Concert, noting the need for smoother connections and improved onboarding support.
  • Users express a need for limited customization options in IBM Concert, which hinder adaptability for diverse team requirements.

What Are Recent G2 Reviews of IBM Concert platform?

Honeycomb

Honeycomb is the observability platform that enables engineering teams to find and solve problems they couldn't before. Honeycomb’s approach is fundamentally different from other tools that claim observability, and is built to help teams answer novel questions about their ever-evolving cloud applications. Honeycomb is a modern observability platform built to help engineering teams quickly find and fix issues, including the ones they didn’t know to look for. Teams use Honeycomb to understand how their systems behave in production, get full context around every request, and resolve problems before customers notice. Where traditional tools separate logs, metrics, and traces, Honeycomb combines all telemetry into a single, unified event model. This enables fast, interactive querying across high-cardinality and high-dimensional data, so engineers can ask new questions without hitting limits or waiting minutes for results. Powered by a trace-first data store and designed for real-time exploration, Honeycomb makes it easy to pinpoint what’s broken, why it’s happening, and who is affected. It’s observability designed for modern, complex systems—simple to adopt, fast to query, and built to scale.

Average Rating: 4.5/5.0

Total Reviews: 36

Who Is the Company Behind Honeycomb?

  • Seller: Honeycomb.io
  • Company Website:
  • Year Founded: 2016
  • HQ Location: San Francisco, US
  • Twitter: @honeycombio
    14,830 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    296 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Medium, 41% Large

What Do G2 Reviewers Say About Honeycomb?

AI-generated summary from verified user reviews

Pros
  • Users find Honeycomb easy to use, enhancing system monitoring and alerting with intuitive visuals and extensive support.
  • Users value the efficient data analysis capabilities of Honeycomb, transforming their understanding of production systems.
  • Users value the intuitive data visualizations of Honeycomb, enhancing analysis and efficiency in system monitoring.
  • Users value Honeycomb for its real-time monitoring, enhancing system health awareness and enabling quick issue resolution.
  • Users value the intuitive data visualization and alerting features of Honeycomb, enhancing system monitoring and issue resolution.
Cons
  • Users find the difficult learning curve due to poor documentation and the need for self-learning, especially for beginners.
  • Users find the learning curve steep due to challenging documentation and the need for self-learning and external tools.
  • Users find the learning difficulty with Honeycomb frustrating due to unclear documentation and a steep learning curve.
  • Users desire more control in-product, citing limited features like the lack of aggregation options for reporting.
  • Users find limited reporting capabilities in Honeycomb necessitate reliance on external tools for effective analytics.

What Are Recent G2 Reviews of Honeycomb?

Netdata

Netdata is a real-time observability platform with agentic AI troubleshooting that covers the full stack in one product: infrastructure, containers and Kubernetes, databases, networks, cloud services, logs, distributed traces and digital experience. It installs in minutes, finds what's running on its own, and starts monitoring right away. Dashboards, ready-made alerts and machine-learning anomaly detection on every metric work out of the box, with no configuration and no query language. Netdata AI works as an on-call engineer. It investigates alerts, correlates anomalies across thousands of metrics, logs and traces, finds the root cause and explains the incident with clear recommendations, so teams get from alert to resolution in minutes instead of hours. Netdata AI can also run capacity planning, performance optimization, SLA audits and so much more. Netdata connects to other tools (such as GitHub, PagerDuty, Jira, Confluence and more) you use to bring in relevant context to make the AI investigations more functional and accurate. MCP servers on every Netdata Agent and in Netdata Cloud also let any AI assistant, such as Claude, Cursor or VS Code, query the live infrastructure directly. Netdata collects per-second metrics through 800+ integrations and works natively with Prometheus, OpenTelemetry, StatsD and Nagios. Digital Experience Monitoring shows what users actually experience: Real User Monitoring (RUM) tracks Core Web Vitals, JavaScript errors and sessions from real visitors, and synthetic journeys and Lighthouse audits test critical user flows on a schedule. OpenTelemetry-native distributed tracing adds a traces explorer with waterfall views and on-demand rate, error and latency analysis for any slice of traffic. Trace context links each user interaction in the browser to the backend services that handled it. Logs can be queried where they already live on each system, or collected centrally through an OpenTelemetry pipeline. For network performance monitoring, Netdata monitors any SNMP device with zero configuration and includes dedicated profiles for 1,700+ device models. It analyzes NetFlow, IPFIX and sFlow traffic, decodes SNMP traps, and tracks BGP. It also maps L2/L3 network topology and application dependencies, showing how processes communicate across systems without any instrumentation. Network data shares the same dashboards and timeline as the servers, containers and applications running over the network. Netdata's distributed architecture processes data at the edge, where it's generated. That keeps per-second detail affordable, catches short-lived issues that traditional tools miss, and keeps the data on your own infrastructure. Netdata is available as SaaS through Netdata Cloud or as an Enterprise On-Prem deployment, including private cloud and air-gapped environments.

Average Rating: 4.6/5.0

Total Reviews: 51

Who Is the Company Behind Netdata?

  • Seller: Netdata
  • Year Founded: 2018
  • HQ Location: San Francisco, US
  • Twitter: @netdatahq
    4,040 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    81 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Small, 43% Medium

What Do G2 Reviewers Say About Netdata?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Netdata, praising its quick setup and intuitive dashboard for monitoring.
  • Users praise the easy setup of Netdata, experiencing quick implementation and immediate access to detailed metrics.
  • Users praise the ease of setup and detailed real-time monitoring provided by Netdata, enabling efficient system management.
  • Users value the real-time monitoring of Netdata, appreciating its detail and immediacy for swift decision-making.
  • Users find the easy installation and user-friendly dashboard of Netdata to be highly beneficial for monitoring systems.
Cons
  • Users note missing APM features and limited documentation, which affect usability and long-term data retention.
  • Users find the insufficient documentation on best practices limits their ability to fully optimize Netdata's capabilities.
  • Users note the limited compatibility with Windows and lack of integrations, impacting their monitoring experience.
  • Users find the limited functionality of Netdata frustrating, especially with scalability and third-party dependencies affecting performance.
  • Users highlight resource limitations in Netdata, struggling with data volume and scalability challenges on their systems.

What Are Recent G2 Reviews of Netdata?

Gearset DevOps

Gearset is the global leader in Salesforce DevOps. It’s a DevOps platform that helps organizations manage, automate, and govern the full Salesforce development lifecycle, from planning and deployment to testing, data management, and compliance. The platform is designed for Salesforce teams that need reliable, scalable DevOps processes across complex org environments. Gearset is used by mid-market and enterprise organizations across regulated and non-regulated industries, including healthcare, financial services, insurance, and technology. Typical users include Salesforce administrators, developers, DevOps engineers, release managers, and platform owners responsible for maintaining deployment quality, security, and operational consistency. The platform supports a wide range of Salesforce use cases, including metadata and CPQ deployments, CI/CD automation, code review workflows, sandbox seeding, test automation, and monitoring. As well as deployment automation, Gearset includes tools for Salesforce data protection and long-term data management, such as automated backups, data restore, and archiving. Observability and Org Intelligence features provide insight into org health, deployment risk, and system changes over time. Gearset also includes governance and compliance capabilities designed for enterprise environments. These features help teams maintain audit readiness and enforce access controls while supporting compliance frameworks such as SOX, ISO, HIPAA, and GDPR. The platform is delivered as a managed service and integrates with Salesforce environments without requiring complex local infrastructure. Key features and capabilities include: - Salesforce metadata, CPQ, and data deployments with CI/CD automation and version control integration - Code review, test automation, and release validation to support quality and consistency - Automated Salesforce backups, restore, and data archiving for data protection and retention - Sandbox seeding, observability, and Org Intelligence to support environment management and visibility - Governance features including audit trails, role-based access controls, and compliance support Gearset is a Salesforce Partner and has supported Salesforce teams globally since 2015. The platform is used by organizations managing multiple orgs (across regions), frequent releases, and complex compliance requirements, helping teams reduce deployment risk, improve operational visibility, and maintain control over Salesforce change management processes.

Average Rating: 4.7/5.0

Total Reviews: 311

Who Is the Company Behind Gearset DevOps?

  • Seller: Gearset
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Cambridge, Cambridgeshire
  • Twitter: @GearsetHQ
    1,182 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    369 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Developer, Salesforce Administrator
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 36% Medium, 33% Small

What Do G2 Reviewers Say About Gearset DevOps?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Gearset DevOps, highlighting smooth setup and effective features for efficient deployments.
  • Users value the automation and ease of deployment with Gearset, significantly enhancing efficiency and reducing errors.
  • Users appreciate the easy deployment capabilities of Gearset DevOps, which streamline CI/CD processes and validations effortlessly.
  • Users commend the exceptional customer support from Gearset DevOps, highlighting prompt assistance and engagement with feature requests.
  • Users value the deployment ease of Gearset DevOps, enabling swift setup and efficient management of releases.
Cons
  • Users face deployment issues requiring manual activation of Flows and cautious management of production metadata changes.
  • Users find Gearset DevOps expensive, particularly for larger teams, affecting its accessibility despite its high quality.
  • Users find complexity in custom filters and CI/CD processes, wishing for enhanced automation and streamlined operations.
  • Users face limitations in data management, as some metadata and object settings fail to transfer accurately between environments.
  • Users express disappointment over the missing features in Gearset DevOps, particularly the lack of automated dependency tracking.

What Are Recent G2 Reviews of Gearset DevOps?

Splunk APM

Splunk APM is critical to help provide visibility and context into your apps and services as your environment scales. Splunk APM provides the most advanced solution for engineers who build and troubleshoot modern applications; with full fidelity trace analysis to provide context across complex cloud and microservice environments, AI directed troubleshooting and high cardinality to identify and resolve problems faster, AlwaysOn Profiling to provide code level visibility of service bottlenecks, and OpenTelemetry standardization to provide greater flexibility and control as you embrace new technologies and processes.

Average Rating: 4.4/5.0

Total Reviews: 17

Who Is the Company Behind Splunk APM?

  • Seller: Splunk
  • Year Founded: 2003
  • HQ Location: San Francisco, California, United States
  • Twitter: @splunk
    78,182 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,466 employees on LinkedIn®
  • Ownership: NASDAQ:SPLK

Who Uses This Product?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 70% Large, 20% Medium

What Do G2 Reviewers Say About Splunk APM?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the high-quality data from Splunk APM, which enhances product quality and boosts customer satisfaction.
  • Users value the high-quality data provided by Splunk APM, enhancing product quality and customer satisfaction.
  • Users appreciate the high quality data from Splunk APM, leading to improved products and happier customers.
  • Users value the high quality data provided by Splunk APM, enhancing product quality and customer satisfaction.
  • Users value the high-quality error tracking of Splunk APM, enhancing product quality and customer satisfaction.
Cons
  • Users find the inadequate reporting features of Splunk APM cumbersome, making data retrieval a challenging task.
  • Users find the inefficient log management challenging, often leading to difficulties in accessing specific logs and reports.
  • Users find it challenging to pull logs and data reports, highlighting the difficulties in log management within Splunk APM.
  • Users face log management issues, making it challenging to pull specific logs and data reports efficiently.
  • Users find reporting cumbersome, often struggling to pull specific logs and preferring broader reports instead.

What Are Recent G2 Reviews of Splunk APM?

What Are G2 Users Discussing About Splunk APM?

Middleware

Middleware is a full-stack observability platform designed to help users monitor and debug their applications by consolidating all metrics, logs, and traces into a single unified timeline. This solution is particularly beneficial for developers and DevOps teams, as it allows them to identify root causes of issues and resolve them in real time. By breaking down data silos, Middleware enhances visibility across various components of an application, ultimately leading to reduced downtime and improved user experiences. The target audience for Middleware includes businesses of all sizes, from startups to large enterprises, that rely on complex software infrastructures. These organizations often face challenges in monitoring their applications effectively, especially when dealing with multiple data sources. Middleware addresses these challenges by providing a comprehensive suite of monitoring tools that cater to diverse use cases. For instance, teams can leverage log monitoring to track application performance, while real-time monitoring capabilities ensure that any anomalies are detected and addressed promptly. Key features of Middleware include log monitoring, application performance management (APM), infrastructure monitoring, and synthetic monitoring. The unified dashboard is a standout feature, allowing users to view all relevant data—metrics, logs, and traces—consolidated in one place. This holistic view simplifies the debugging process, enabling teams to quickly pinpoint issues and implement solutions. Additionally, Middleware offers alerting and notification functionalities that keep users informed of critical events, ensuring that they can respond to potential problems before they escalate. Root-cause analysis is another essential aspect of Middleware, empowering teams to investigate and understand the underlying factors contributing to application issues. This feature not only aids in immediate problem resolution but also helps in preventing similar issues from arising in the future. Furthermore, the integration of LLM observability enhances the platform's capabilities, providing deeper insights into application behavior and performance. Overall, Middleware stands out in the observability landscape by offering a comprehensive, user-friendly platform that integrates various monitoring tools into a cohesive experience. Its focus on real-time insights and root-cause analysis makes it a valuable asset for organizations looking to optimize their software performance and enhance user satisfaction.

Average Rating: 4.7/5.0

Total Reviews: 55

Who Is the Company Behind Middleware?

  • Seller: Middleware
  • Company Website:
  • Year Founded: 2014
  • HQ Location: San Francisco, California
  • Twitter: @middleware_labs
    301 Twitter followers
  • LinkedIn® Page: linkedin.com
    50 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 71% Small, 16% Large

What Do G2 Reviewers Say About Middleware?

AI-generated summary from verified user reviews

Pros
  • Users value the unified, real-time monitoring of Middleware, streamlining issue resolution across diverse environments efficiently.
  • Users appreciate the ease of use of Middleware, with a modern UI that simplifies onboarding and daily workflows.
  • Users value the real-time monitoring capabilities of Middleware, enhancing issue resolution and overall operational efficiency.
  • Users value the unified, real-time dashboard of Middleware, enabling fast diagnostics across diverse environments effortlessly.
  • Users commend the easy setup of Middleware, simplifying integration and enhancing efficiency in DevOps workflows.
Cons
  • Users face integration issues requiring additional configuration, especially with advanced features and legacy systems.
  • Users find the configuration complexity initially challenging, particularly with advanced options and integrations, causing a steep learning curve.
  • Users find the steep learning curve of Middleware challenging, especially for those new to APM concepts and integrations.
  • Users experience a slight learning curve with Middleware, particularly affecting those new to advanced observability tools.
  • Users find the complex setup of Middleware challenging, especially due to manual configurations and a steep learning curve.

What Are Recent G2 Reviews of Middleware?

WatchTower Platform ML Insights

Embedded intelligence to proactively prevent problems, fix issues faster and get more done.

Average Rating: 4.2/5.0

Total Reviews: 11

Who Is the Company Behind WatchTower Platform ML Insights?

  • Seller: Symantec
  • Year Founded: 1982
  • HQ Location: San Jose, California, United States
  • Twitter: @symantec
    182,168 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12,810 employees on LinkedIn®
  • Ownership: NASDAQ:SYMC

Who Uses This Product?

  • Company Size: 73% Large, 18% Medium

What Are Recent G2 Reviews of WatchTower Platform ML Insights?

meshIQ

meshIQ is the enterprise evolution platform purpose-built to transform how organizations manage and optimize their middleware—the digital nervous system of the enterprise. It provides unified visibility, control, and modernization of messaging, event streaming, and B2B transactional flows across all middleware vendors, all environments, and at enterprise scale. Acting as a real-time intelligence layer across your entire ecosystem, meshIQ connects, monitors, and analyzes every message, event, and business transaction with forensic-level insight, so you can run incredibly lean operations with confidence and control. By eliminating the expense, complexity, and manual nature of managing multiple middleware platforms, meshIQ helps enterprises dramatically cut OPEX, resolve incidents and disputes up to 70% faster, reduce manual reconciliation efforts, and accelerate service delivery. The platform also provides a safe, fast, and reliable path to modernize middleware and migrate to modern architectures such as Apache Kafka®, ActiveMQ®, and cloud-native environments—without disruption. And with built-in B2B Flow Intelligence, organizations can assure every business transaction to safeguard revenue, meet regulatory requirements, and protect customer trust and experiences.

Average Rating: 4.6/5.0

Total Reviews: 99

Who Is the Company Behind meshIQ?

  • Seller: meshIQ
  • Company Website:
  • Year Founded: 1994
  • HQ Location: Plainview, US
  • LinkedIn® Page: www.linkedin.com
    60 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Banking, Information Technology and Services
  • Company Size: 43% Large, 37% Medium

What Do G2 Reviewers Say About meshIQ?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of meshIQ, enjoying its intuitive design and seamless integration across platforms.
  • Users value the real-time monitoring of meshIQ, enabling quick issue detection and enhanced operational efficiency.
  • Users value the intuitive user interface of meshIQ, enabling quick insights and ease of use for everyone.
  • Users value the deep visibility meshIQ provides into middleware, enhancing monitoring and troubleshooting efficiency significantly.
  • Users appreciate the deep visibility into middleware environments, simplifying monitoring and troubleshooting processes significantly.
Cons
  • Users find the difficult learning curve of meshIQ overwhelming due to its powerful features and complex interface.
  • Users find the steep learning curve of meshIQ challenging due to its powerful but overwhelming features.
  • Users find meshIQ's complexity daunting, especially during initial setup and configuration for new users.
  • Users face difficult configuration with meshIQ, finding the setup time-consuming and the WebUI challenging to navigate.
  • Users find the learning difficulty of meshIQ challenging, particularly during initial setup and advanced feature utilization.

What Are Recent G2 Reviews of meshIQ?

Pandora FMS

Pandora FMS is a unified monitoring and observability platform designed to consolidate visibility, alerting, reporting, and automation across heterogeneous IT environments. Instead of combining multiple point tools for networks, servers, applications, and cloud services, Pandora FMS centralizes data collection and operational workflows in a single console, reducing integration effort and operational complexity in on-premise, hybrid, and multi-cloud architectures. The platform collects telemetry using multiple methods, including agents, remote checks, standard protocols (e.g., SNMP/WMI), APIs, and log/event ingestion. This enables teams to monitor infrastructure and services end-to-end, correlate signals, and maintain consistent alerting policies and dashboards across distributed estates. Pandora FMS also supports capacity and trend analysis to anticipate resource constraints and identify recurring patterns, and includes AI-assisted capabilities for anomaly detection and automated thresholds to surface hard-to-spot operational signals. Pandora FMS is extensible through a large plugin ecosystem (500+ plugins and integrations), covering a wide range of enterprise and infrastructure technologies such as SAP, Oracle, Citrix, JBoss, VMware, AWS, SQL Server, Red Hat, and WebSphere. This extensibility helps organizations standardize monitoring across legacy and modern stacks without redesigning their monitoring approach per technology. Core capabilities: -Unified monitoring for networks, servers, applications, cloud services, endpoints, and logs -Centralized alerting, event correlation, dashboards, and scheduled reporting -Flexible data collection via agents, remote checks, APIs, and plugins -Scalability for distributed environments and large numbers of monitored elements -Analytics for trend/capacity planning plus AI-assisted anomaly detection and dynamic thresholds -A key differentiator is direct vendor support, which simplifies escalation and ensures continuity of expertise for deployment, tuning, and ongoing operations.

Average Rating: 4.6/5.0

Total Reviews: 226

Who Is the Company Behind Pandora FMS?

  • Seller: Pandora FMS
  • Company Website:
  • Year Founded: 2004
  • HQ Location: Madrid, Spain
  • Twitter: @pandorafms
    5,458 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    56 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Telecommunications
  • Company Size: 50% Medium, 38% Small

What Do G2 Reviewers Say About Pandora FMS?

AI-generated summary from verified user reviews

Pros
  • Users value the reliable remote monitoring capabilities of Pandora FMS, ensuring seamless oversight of their systems.
  • Users enjoy the ease of use of Pandora FMS, appreciating its intuitive interface and reliable support.
  • Users value the real-time monitoring capabilities of Pandora FMS, enhancing visibility of all network devices effortlessly.
  • Users value the flexibility and adaptability of Pandora FMS, making it suitable for diverse IT monitoring needs.
  • Users value the versatility of network monitoring in Pandora FMS, effectively managing diverse devices and environments.
Cons
  • Users find the learning curve steep, particularly with initial setup and complex functionalities of Pandora FMS.
  • Users find the complex setup of Pandora FMS challenging, particularly due to compatibility issues and steep learning curves.
  • Users note the learning difficulty with Pandora FMS, especially for those lacking technical expertise for setup and configuration.
  • Users find the complex configuration of Pandora FMS challenging, especially without extensive technical expertise.
  • Users face a difficult learning curve with Pandora FMS, which can hinder effective usage for beginners.

What Are Recent G2 Reviews of Pandora FMS?

What Are G2 Users Discussing About Pandora FMS?

Tian Lin
TL
Researched and written by Tian Lin
Updated June 12, 2025