Report:

Magic Quadrant for Digital Experience Monitoring

Top Vendor Products for Digital Experience Monitoring in 2025

• Catchpoint
• Datadog
• Dynatrace
• New Relic

Digital Experience Monitoring Vendor Product Comparisons 2025

• Blue Triangle - Niche Player
  

  Pros:

  • Customer scale: Blue Triangle serves large enterprises — including major retailers, and travel and healthcare organizations — with demanding requirements for website performance and availability. Its solution is designed to be easily deployed, scalable and cost-effective, supporting the needs of high-traffic, customer-facing digital environments.
  • Business-outcome focus: Blue Triangle provides detailed quantification of how specific user experience issues translate into conversion losses and revenue impact. Its conversion rate curve methodology and revenue attribution features allow organizations to identify and prioritize the most costly friction points on their digital properties, supporting data-driven decision making for optimization efforts.
  • Hybrid visibility: Blue Triangle's platform provides detailed performance insights for modern web environments, including metrics for single page applications (SPAs) and core web vitals. These capabilities are delivered through a combination of real user monitoring (RUM) and synthetic transaction monitoring (STM) that includes error tracking and session playback.

  Cons:

  • Network insight: Network path analysis is limited in functionality, making proactive trace analysis a challenge.
  • Geographic strategy: The vendor's primary focus is North America, with limited investment in other regions and no detailed information on localization or language support. This may be a concern for multinational clients needing localized experiences, support, and compliance in multiple geographies.
  • Product strategy: Blue Triangle's strategy and roadmap maintain clear room for expansion in comparison with other vendors. Clients making a strategic purchase for their DEM should evaluate Blue Triangle's roadmap against their specific requirements.


• Catchpoint - Leader
  

  Pros:

  • Product strategy: Catchpoint has a clearly articulated product roadmap and strong vision that prioritizes key innovations in AI and intelligent agents. This forward-looking strategy addresses emerging customer needs for advanced, AI-enabled monitoring and analysis.
  • Integration and extensibility: The platform offers extensive integrations with major analytics, database, and observability platforms, including Datadog, Dynatrace, ClickHouse, Snowflake, and Databricks, alongside flexible data export and ingestion APIs supporting OpenTelemetry. This enables two-way data flow for advanced analytics and correlation, reducing integration complexity for customers.
  • Customer enablement: Catchpoint provides a comprehensive training and certification program through a mix of online and in-person resources, including Catchpoint University and strategic workshops. This structured approach to customer enablement accelerates user adoption and helps organizations maximize the value of their investment.

  Cons:

  • Platform scope: As a specialized DEM solution, Catchpoint is not part of a broader observability platform. This may present challenges for enterprise clients seeking a single, integrated solution to correlate user experience data with back-end application and infrastructure telemetry.
  • Immature session replay: The vendor's session replay capability is in the early stages of development and does not yet offer the same range of features as some competing offerings. Organizations that heavily rely on session replay for diagnostics may find the current functionality limited.
  • Pricing information: Unlike other Leaders in this research, Catchpoint does not publish pricing information on its website. This lack of transparency is not in line with general trends in this area and hampers potential customers when estimating costs.


• Checkly - Niche Player
  

  Pros:

  • Developer-centric: Checkly supports CI/CD and config-as-code integration, enabling teams to define and manage monitoring alongside application code.
  • AI capabilities: Checkly's AI agent, Rocky, integrates with common LLMs, enabling faster monitoring failure analysis, better context, and root cause identification, which helps reduce the diagnosis and troubleshooting time.
  • Simple licensing: Checkly offers transparent four-tier licensing, allowing customers to switch between tiers with the option to add additional checks, as needed, avoiding unnecessary costs or overpayment.

  Cons:

  • Feature parity: Checkly lacks real user monitoring (RUM) capability, which may not address all requirements for application owners and customer experience specialists.
  • Limited IT operations use: Checkly lacks IPM features such as monitoring external network paths and ISP performance. IT operations teams seeking deeper network visibility may need to explore additional solutions to address these requirements.
  • Product development: While Checkly offers many unique features, its roadmap for AI-enabled digital experience monitoring was less clearly articulated than those of leaders in this market.


• Conviva - Visionary
  

  Pros:

  • Machine learning and analytics: The platform automatically learns normal behavior for user cohorts (by device, OS, geography, campaign, etc.) and alerts when a specific cohort deviates from baseline. It then ties that cohort to the back-end call involved so teams see immediately which user group is affected and what to fix — without manually defining cohorts.
  • Streaming video expertise: Conviva has a proven track record of monitoring high-volume, high-velocity streaming video environments. This expertise in real-time telemetry analysis is applicable to other data-intensive industries, such as e-commerce, that require immediate performance insights.
  • Differentiated approach: Conviva employs a differentiated, data-centric approach to understanding the end-user experience, setting it apart from traditional DEM vendors. This methodology focuses on deep analysis of telemetry data to model and interpret user interactions.

  Cons:

  • Pricing model: The vendor's pricing is not publicly available and is based on a complex model with a large number of metrics. This lack of transparency can create challenges for prospective clients in forecasting costs and may lead to budget unpredictability.
  • Enterprise expertise: Conviva's experience and product development historically have been centered on the streaming video sector. Consequently, its expertise in addressing the complex, cross-functional requirements of large enterprises in other industries is less proven than that of competitors with a broader enterprise background.
  • Synthetic monitoring: The platform lacks a native synthetic monitoring component. Organizations that require proactive monitoring of application availability and performance through simulated user transactions will need to integrate a third-party solution.


• Datadog - Leader
  

  Pros:

  • RUM pricing: Datadog's new 'without limits' model, which replaces previous usage-based pricing, allows flexibility by decoupling session ingestion from indexing, allowing dynamic retention filtering without code changes. This enables selective retention of high-value sessions, while discarding less relevant ones.
  • Product analytics: The platform utilizes RUM, funnel analysis, pathways, session replay, and heatmaps to provide insights that help teams understand product adoption, user behavior, and feature prioritization. Product analytics is available for all U.S.- and EU-hosted Datadog accounts.
  • AI-powered insights: Datadog's AI engine automatically detects performance anomalies by baselining normal behavior across the front and back end without manual configuration. It then correlates relevant events and provides a plain-language summary of the issue, helping teams accelerate their understanding and response.

  Cons:

  • SaaS only: Datadog is offered exclusively as a SaaS solution. For organizations with strict regulatory, compliance, or data-residency requirements, the lack of self-hosted or self-managed options may present limitations in meeting internal governance standards.
  • Limited IPM capability: Datadog's current approach to IPM relies heavily on manual analysis of RUM performance or STM traceroute data, unlike competitive alternatives that offer automated, AI-driven approaches.
  • Scope: As part of a comprehensive observability platform, Datadog's DEM capabilities may be overly expansive for organizations seeking a focused, stand-alone DEM solution.


• Dynatrace - Leader
  

  Pros:

  • Automated configurations: Dynatrace uniquely combines API, Terraform and its own Monaco CLI to enable configuration as code for DEM, including RUM and synthetic monitors. This approach allows teams to version, reuse, and automate DEM configurations across environments, reducing manual and supporting effort.
  • Security compliance: Dynatrace offers multilayer personally identifiable information (PII) masking at capture, storage and display stages, with configurable rules per process group or log source. This ensures sensitive data is protected throughout the DEM pipeline and supports compliance with GDPR, CCPA, HIPAA, PCI-DSS, and other regulations without manual intervention.
  • AI capabilities: The platform's embedded AI, including Davis AI and Davis CoPilot, translates complex telemetry into natural language insights using causal, predictive and generative AI. This makes deterministic performance data accessible and actionable for a wide range of stakeholders, allowing clients to more easily pinpoint technical issues with their direct impact on business outcomes.

  Cons:

  • Basic IPM: Compared with other features, Dynatrace's internet performance monitoring is relatively limited for geographic internet health visibility and not a core strength of the platform.
  • Single sign-on (SSO) for STM: Dynatrace does not act as an identity provider (IdP) for synthetic monitoring. This may limit flexibility for enterprises needing provider-side federation or turnkey simulation of SSO flows in synthetic tests.
  • Onboarding: Dynatrace's extensive flexibility and rich data insights are useful for SRE and the I&O team; however, the breadth of features can be overwhelming for some new users, particularly application owners, especially when setting up dashboards and selecting relevant metrics and KPIs.


• IBM - Visionary
  

  Pros:

  • Deployment models: IBM Instana supports SaaS, self-hosted and air-gapped deployments, with installation options for Kubernetes, OpenShift, Docker and VMs. This flexibility enables clients to meet operational and compliance requirements and exercise a high level of control over their data sovereignty, regulatory or national requirements.
  • Market presence: IBM's global reach, large customer installed-base and extensive product portfolio make it a strong choice for larger organizations seeking a single vendor to cover their broader observability needs.
  • Use of AI: IBM Instana minimizes the need for manual intervention and accelerates troubleshooting through AI-driven insights by leveraging causal AI and anomaly detection to group alerts into incidents, identify likely causes, and recommend diagnostic actions.

  Cons:

  • Features: IBM Instana lacks session replay capability, which is key to understanding how application performance impacts user experience and the resultant behavior, including rage clicks or shopping cart abandonment. It is one of the key capabilities leveraged by customer experience specialists. Instana intends to enable session replay capabilities in the product in the first half of 2026.
  • Privacy controls: IBM Instana relies on default data minimization and manual SDK settings for personally identifiable information (PII control), with only basic options to redact secrets or exclude URLs. It does not provide automated obfuscation or multistage masking across capture, storage and display, or audit logging, potentially increasing effort for organizations with strict privacy requirements.
  • Roadmap differentiation: IBM Instana's future enhancements are primarily focused on DevOps and SRE use cases. For application owners, planned features such as business metric correlation and conversion tracking are already well-established in competing products and may not provide a distinct advantage over other offerings.


• ITRS Group - Visionary
  

  Pros:

  • Analytics-driven insights: ITRS's DEM solution integrates with ITRS Analytics, the company's observability platform. This advanced analysis allows customers to uncover business-level insights, which enables better decision making to maximize performance and reduce operational risk.
  • Market understanding: ITRS shows a strong market understanding of the key challenges confronting its clients and the market generally. This awareness ensures its product strategy and roadmap are aligned with the practical and evolving needs of IT operations teams.
  • Industry expertise: ITRS has a proven track record in the demanding financial services sector, making its experience in mission-critical environments applicable to other industries with stringent operational requirements.

  Cons:

  • Partner program: ITRS lacks a formal partner program, which may limit its market reach and implementation capabilities for clients seeking third-party support or localized expertise.
  • Pricing model: While pricing is public, its credit-based model varies by component, which can make budget planning difficult for clients and lead to challenges in forecasting total cost of ownership.
  • Feature gaps: The platform lacks certain key features, such as customer journey mapping and internet performance monitoring, which are common in competing solutions. Organizations requiring these capabilities will need to integrate third-party tools.


• ip-label - Niche Player
  

  Pros:

  • Virtual and desktop application monitoring: In addition to web applications, Ekara delivers unified synthetic monitoring across Citrix, Microsoft RDS and thick-client desktop applications (SAP GUI, Windows apps, AVD, AppStream), alongside web and real-device mobile monitoring.
  • Flexible consumption-based pricing: Ekara's costs are directly tied to synthetic execution counts and RUM metric volumes, eliminating separate license fees and allowing customers to align monitoring spend with predictable, variable cost that reflects their application's activity levels rather than a fixed overhead.
  • AI-powered scripting: Ekara Studio enables automatic creation of synthetic user journeys using natural language processing (NLP). This no-code capability allows business users to define monitoring scenarios with minimal manual effort, improving accessibility and reducing setup time.

  Cons:

  • Geographic strategy: ip-label's primary customer base and operational presence remain in Europe, with APAC and North America operations still maturing. Organizations outside EMEA should confirm local support and deployment timelines.
  • AI maturity: Ekara Studio is functional for NLP-based scripting, but broader AI features such as Incident Guard for false-positive filtering are still maturing. These capabilities require user validation and tuning before full automation can be relied on.
  • Nonpublicly available pricing: Ekara's pricing details are not published online, requiring customers to engage directly with ip-label for quotes and consumption models. This can slow business case development, procurement, and budgeting processes.


• ManageEngine - Niche Player
  

  Pros:

  • Licensing and cost: Site24x7 offers a modular, usage-based licensing model, including scalable bundles allowing organizations to pay for only the features and monitoring volumes they need. Customers can selectively scale monitoring with options such as synthetic ping monitors, real browser monitors, real user monitoring (RUM), and mobile RUM.
  • AI-driven insights: ManageEngine's conversational AI assistant, zia, enables ease of insights to different personas and automates correlation of different datasets, such as session data and performance metrics, which can help improve overall MTTR.
  • Deployment benchmarking: Site24x7 automatically benchmarks application performance before and after each deployment, instantly detecting deviations and triggering real-time anomaly alerts, enabling rapid identification of issues introduced by new releases.

  Cons:

  • Innovation: ManageEngine's product roadmap is focused primarily on strengthening core capabilities, with selective forward-looking innovations such as AI-driven insights and automation.
  • Licensing structure: The modular, usage-based licensing model, while flexible, can be complex to navigate in scenarios where the requirements are broader and where monitoring volumes cannot be appropriately estimated.
  • Functionality: The product lacks customer journey mapping, limiting its insights into user behavior, which may affect business owners' ability to make decisions based on insights.


• New Relic - Leader
  

  Pros:

  • Enable shift-left observability: By supporting Terraform, Pulumi and GitHub Actions for monitoring as code, New Relic DEM lets DevOps teams embed deployment markers, dashboards and browser instrumentation directly into CI/CD pipelines, reducing configuration drift and speeding time to value.
  • Democratize troubleshooting with natural-language AI: The NRAI layer allows any user to pose plain-English queries against DEM data, receive AI-summarized session replays and provision synthetic tests, lowering reliance on specialized query languages and supporting accelerated RCA.
  • Performance context in ITSM workflows: The bidirectional ServiceNow connector automatically creates and enriches incidents with DEM alerts, traces and metadata, ensuring that support teams receive actionable observability insights without manual hand-offs or tool switching.

  Cons:

  • Geographic strategy: New Relic offers region-selectable hosting in the U.S. and Germany. Organizations in APAC or other regions may face latency or data-sovereignty challenges unless they deploy private synthetic locations.
  • Pricing: New Relic's consumption-based model offers flexibility, but cost predictability depends on effective use of ingest management and pipeline control. These capabilities provide strong control but require customer awareness and technical configuration, adding complexity for teams unfamiliar with advanced pipeline configuration or API-based controls.
  • No discrete DEM licensing: DEM capabilities are bundled within New Relic's unified observability platform, with no stand-alone SKU. While this simplifies procurement, it can complicate DEM-specific budgeting and cost attribution. Integrated optimization capabilities help to manage utilization, but these require adoption and awareness to avoid overprovisioning or underutilization.


• Riverbed - Visionary
  

  Pros:

  • Bring your own AI model: Riverbed IQ Assist, the vendor's GenAI-powered virtual assistant, summarizes diagnostics and recommends next steps. It leverages an LLM-agnostic approach that gives customers the power to use an LLM of their choice.
  • Deployment options: Aternity is delivered primarily as a SaaS solution, but it also offers self-managed deployment options, allowing organizations to host the platform on-premises or in their private cloud. This flexibility is useful for organizations with strict regulatory, compliance, or data residency requirements.
  • Innovation: Riverbed recently launched SmartOTel to provide platform-level control and intelligent management of OpenTelemetry data streams. This will allow for deeper integration with DEM components, providing more precise diagnostics and user experience analysis.

  Cons:

  • Nonpublic pricing: Unlike leading vendors in this market, Riverbed does not publish its pricing on its website. This lack of visibility makes it difficult for prospective customers to evaluate cost-effectiveness or compare Riverbed's offering with other DEM solutions, potentially hindering informed decision making during vendor selection.
  • Dependencies: The Aternity User Journey Intelligence (UJI) tool is an OEM rebranding of Blue Triangle, another vendor included in this report. As with any OEM arrangement, the tool's roadmap and long-term stability may be influenced by contractual dynamics between the vendors, introducing potential uncertainty for customers.
  • Geographic strategy: Riverbed does not maintain a direct presence in LATAM, instead supporting the region through their partner ecosystem. These partners provide sales coverage, implementation, and ongoing support for clients in the region. Clients should validate the expertise and local support capacity of the potential regional partner.


• SolarWinds - Niche Player
  

  Pros:

  • Flexible deployment options: SolarWinds Observability supports both SaaS and self-hosted deployments, offering customers flexibility to choose the model based on their needs.
  • RUM automation: SolarWinds Observability supports API-based life cycle management of RUM configurations, allowing users to create, update and delete monitoring setups programmatically. This enables teams to automate RUM deployment and integrate configuration into CI/CD workflows, supporting consistent and scalable observability practices.
  • Partners: SolarWinds has a diverse partner program that helps with the promotion, distribution and support of the vendor's products across different regions.

  Cons:

  • Diluted DEM focus: SolarWinds' marketing emphasizes comprehensive IT monitoring and holistic visibility, positioning DEM as one component within its full-stack observability platform. Notwithstanding resources like blogs and webpages dedicated to exploring its DEM solution, for buyers focused solely on DEM, this approach can make it harder to evaluate or justify SolarWinds for targeted use cases.
  • Acquisition impact: The April 2025 acquisition of SolarWinds by private equity firm Turn/River Capital represents a major turning point for the organization. With new ownership, clients should anticipate potential changes in investment focus and strategy, and proactively evaluate any changes to the product roadmap, pricing, and support models.
  • Functionality: SolarWinds does not support synthetic monitoring for multifactor authentication (MFA)-protected applications, limiting its suitability for organizations that require monitoring of secure, MFA-enabled environments.


• Splunk - Visionary
  

  Pros:

  • Prebuilt enterprise application monitoring: Splunk supports prebuilt monitoring for SAP, Microsoft 365, Salesforce and Webex. It combines real user and service-level visibility with over 30 business-process dashboards to accelerate root-cause analysis.
  • Cross-domain network correlation: Integration with ThousandEyes (purchased separately) enables correlation of internet path, CDN and DNS telemetry with application performance, improving visibility into external dependencies and speeding issue resolution.
  • Flexible deployment and data sovereignty: Splunk offers SaaS and self-managed options, including air-gapped support, allowing organizations to meet regulatory and data sovereignty requirements through local control of monitoring data.

  Cons:

  • Sales execution: Splunk's DEM offering comprises multiple products with differing pricing models, which, along with limited market visibility, may create confusion for prospective customers evaluating and purchasing the solution.
  • Configuration complexity: Splunk's DEM solution relies on CLI, API and declarative configuration for setup and management, with limited low-code or visual tools for synthetic or RUM configuration. This increases onboarding complexity for teams lacking strong scripting or DevOps skills.
  • Product strategy: Following the integration of Splunk and AppDynamics, some advanced DEM features and enhancements are still rolling out across the portfolio. Depending on which product or deployment model they select, customers may encounter differences in capabilities or delayed availability.

Reference

• Gartner, Magic Quadrant for Digital Experience Monitoring, 27 October 2025, ID G00823799

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