Akamai mPulse vs Broadcom DX Application Performance Management comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Akamai mPulse and Broadcom DX Application Performance Management based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability.
To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: March 2024).
763,955 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature is the solutions overall performance. It is very efficient and accurate for our usage.""Enables dynamic injections from within the product which is great."

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"It's a very stable product.""The deployment was easy.""The time it takes to track problems in applications is the most valuable return that we have from this solution.""We receive good transactions from it with good graphs, as well, documenting the activities of total visitors on the site. We can pull the reports and provide them to the client, as required.""It has a random transaction trace which gives our customers the ability to look at how their transaction performs.""If there's something that you really need to get at that doesn't come out of the box, you can pretty easily put together some custom metrics and get those in place.""I have found Broadcom DX Application Performance Management to be scalable.""Cross-platform business transaction tracing supports the ability to monitor end-to-end performance across the stack, providing granular insight into customer experience KPIs, which are a critical success factor for organizations."

More Broadcom DX Application Performance Management Pros →

Cons
"In the next release, I would like to see the possibility of sharing the metric from this solution with other solutions.""The end-to-end distributor tracing connectivity isn't there."

More Akamai mPulse Cons →

"The interface is getting a little old.""I would like to see intelligence, deep intelligence or deep analytics.""Lacks some integration between all the tools.""It should be easier to install or set everything up. ​""Java Console uses too much memory.""Stability could actually be helped because it is a wrapper or an agent on our system. If we are having a bad day in production or if other resources are being utilized, then we will get get gaps in our monitoring system.""Issue resolution needs to be faster, rather than having users wait for the next release for issues to be fixed.""With respect to SQL monitoring, it would be nice to have a little more information because it doesn't provide the full statement all of the time."

More Broadcom DX Application Performance Management Cons →

Pricing and Cost Advice
Information Not Available
  • "Depends on the size of the product you need."
  • "Althougth it is a bit expensive, it is really worth it"
  • "There is some research needed to determine licensing costs, based on the number of DataPower instances for the Nastel agent, for example."
  • "Negotiate a lot, but do not forget to buy the product because it is worth it."
  • "Pricing and licensing are not issues."
  • "On pricing, CA is very competitive. I think that's going to help in the long run."
  • "Setup costs are quite competitive relative to other solutions, and simpler."
  • "Dynatrace is the most expensive of these tools followed by AppDynamics which is "medium-expensive." CA APM is a bit lower in price than either Dynatrace or AppDynanics... In my opinion, if you can afford it, go for AppDynamics instead of CA APM."
  • More Broadcom DX Application Performance Management Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Enables dynamic injections from within the product which is great.
    Top Answer:The end-to-end distributor tracing needs some work because the connectivity from the user to the backend wasn't there. Akamai mPulse was not able to deliver on our requirements regarding observation… more »
    Top Answer:The primary use case of mPulse is for real-time user monitoring. Our use case was to observe the entire platform from the user all the way to the backend system and that's what it did. It's all in the… more »
    Top Answer:Scalability-wise, I rate the solution a nine out of ten...there is a very easy way to deal with it by adding more servers to the application.
    Top Answer:The pricing structure should be based on memory or CPU usage rather than the number of agents, as it makes the solution more expensive for us. The pricing structure is too high and becomes… more »
    Top Answer:The area of improvement is related to the areas of application onboarding and instrumentation, where the product has certain shortcomings. Broadcom needs to work on application instrumentation and the… more »
    Product Features
    Deployment

    On-premise deployment

    Can be deployed on AWS

    Can be deployed on Azure

    Can be deployed in a private cloud

    Monitor on-premise applications in virtualized environments

    Monitor applications running on AWS and Azure

    Monitor applications running on Pivotal Cloud Foundry, Redhat OpenShift and Heroku

    Support for Pivotal Cloud Foundry, Redhat OpenShift. Heroku is a future roadmap item.
    Configuration and Infrastructure

    Configuration and management through a single, web-based user interface

    Automatically create a visualization of the entire application topology with all components.

    Automatically discover business transactions

    Automatically discover standard back end systems (database, web services, SAP etc.)

    Discover and display non-standard backend systems through point-and-click configuration

    Automatically baseline every component within the business transaction

    Can be deployed in multi-tenant environment

    Application Visibility and Control

    Provide correlated views of distributed business transactions between tiers/services

    Automatically baseline every component within the Business Transaction

    Provide code level diagnostics (class & method-level visibility) of business transactions

    Monitor JVM health information (heap, GC, generational spaces, etc.)

    Monitor CPU utilization, OS memory usage, disk I/O, network I/O, other hardware metrics

    Report application errors & exceptions

    Automatically monitor entire call stack when application problems occur

    Does not disable monitoring functionality as a compromise to limit product overhead

    Historical performance monitoring and trending

    Full view of infrastructure details without leaving context of business transactions

    Single UI for server and application monitoring

    Alert on deviation from baseline

    Mean Time To Repair

    Identify slow and stalled business transactions without manual intervention

    Count, measure and score every transaction

    Identify error business transactions without manual intervention

    Identify slow SQL queries without manual intervention

    Identify slow backend systems or external services without manual intervention

    Automatically discover code deadlocks

    Provide quick cross launching into problem areas within the UI through hyperlinked alerts

    Automatically send email containing hyperlink to identified problem

    Automatic analysis of end-to-end APM data to provide root cause analysis

    Business Transactions

    Automatically discover business transactions

    Automatically learn and baseline performance of discovered business transactions

    Automatically count, measure and score every transaction

    Discover synchronous, asynchronous and multi-threaded business transactions

    Business Metrics

    Provide visibility into the impact of outages on business metrics

    Capture business metrics (e.g. revenue, orders) from applications and background jobs

    Enables creation of custom dashboards for business metrics and application behavior

    Out of the box reports on business transaction summary and trends

    Automatically correlate business transactions with environment monitoring (OS, JMX, etc.)

    Usability

    Browser-based web client

    Automatic & dynamic baselining of all metrics to reduce false alarms

    Include an online virtual collaboration space as a virtual "war room"

    Visualize multiple applications and the connectivity / dependencies between them

    Enable sharing of analysis/ visualizations without having to export data from the UI

    Group transactions using a Session ID and display transactions in order of execution

    Drill down from business transaction to correlated log file entries in single platform

    Available through CA's Log Analytics solution which can be integrated with APM
    Historical Trending

    Trending with metric persistence to do historical analysis and compare to baselines

    The ability to view and drill into Flow Map for extended periods up to 1 year

    The ability to compare Flow Maps from different time frames for up to 2 years

    Support for Agile

    Dynamic instrumentation of the application

    No need to reconfigure agent instrumentation when new app releases are deployed

    Automatically pick up application configuration changes as a result of agile releases

    Regression analysis to compare and highlight app performance improvements

    Areas of poor metric stability (differential analysis) and architectural potential (high call ratio) for improvement are analyzed, but through more advanced logic than regression

    Provide capability to compare business transactions flows for different releases

    Pre-Production Performance Tuning

    Identify the longest running methods in business transactions

    Determine relationship between increased load and application response time

    Identify worst backend calls (Database, Web Services, other backend) automatically

    Provide business transaction performance change from one code release to the next

    Scalability and Infrastructure

    Support at least 5000 agents on a single platform without requiring data federation

    Ability to support high availability APM infrastructure servers

    Has steady network traffic between agent and APM server regardless of transaction levels

    Encrypt data transmissions end-to-end across the environment

    Agentless monitoring

    Analytics

    Single UI incorporating Analytics and APM modules

    Analytics UI is web browser based with no locally installed client software

    Analytics layer providing intelligence across data collected by APM modules

    Scalable repository capable of collecting and storing large volume of metrics/events

    In context drill down between analytics data and APM data

    Graphical query builder for ease of use and broad adoption

    Ability to adjust timeframe via click and drag on dashboard charts

    Automated ranking (top N) of relevancy of every indexed field to current selection

    Configurable to collect not all, but specific desired transaction data/fields

    Alert off of metrics created in analytics based on search criteria

    Analytics data collection does not require full call method stack data

    No code changes required to pull custom (non-native) metrics into data repository

    Data collected, stored and analysed in near real time (i.e. not hours, days, or weeks later)

    API to input custom metrics

    Search API

    Ability to chart result set in custom dashboards

    Granular role based access control (RBAC)

    Log Analytics

    Ability to collect and store log files from monitored nodes

    Available via CA's log analytics solution which can be integrated with APM

    Log file data through TCP

    Available via CA's log analytics solution which can be integrated with APM

    Auto-inject business transaction identifier for each log statement

    Can be configured via custom tracer, requires integration with logging framework

    Ability to extract any field from log file for processing

    Available via CA's log analytics solution which can be integrated with APM
    Root Cause Analysis

    Historical performance monitoring and trending - retain 100% of historical data

    Report top database activities (e.g. Top SQL, Top Users, Top Programs)

    Report database activity profile over-time (identify patterns)

    Collect and store all database wait events and correlate with SQL/Stored Procedures

    Collect and store SQL/Stored Procedure KPIs (CPU, Count, Reads/Writes)

    Collect and store database instance level statistics (table size, row count, indexes)

    Collect and store database server/host KPIs (CPU, Memory, �)

    Ability to breakdown latency of stored procedure components

    Collect SQL Explain & Execution plans

    Collect and store performance data on database objects (Schemas, tables, indexes)

    Ability to collect and correlate deep-dive storage information

    Database Monitoring

    Provide a real-time view of performance showing current database activity

    Provide a holistic view of all database performance through a multi-instance dashboard

    Ability to send pro-active alerts based on health and performance of databases

    Static and dynamic alerting on collected database metrics

    Server Monitoring

    Monitor Machine availability

    Monitor CPU usage

    Monitor Disk performance

    Monitor Volume usage

    Monitor Machine load

    Monitor Memory

    Monitor SWAP

    Monitor Processes

    Monitor Network Adapter(s)

    Dynamic Baselining

    Synthetic page checker

    Application Monitoring

    Identify JVM memory leaks caused by leaky collections

    Enable tracking of object instantiations/destructions to troubleshoot JVM heap thrash

    PHP monitoring

    .NET monitoring

    Node.js monitoring

    Python monitoring

    Docker Monitoring

    Integrated monitoring of Dockerized containers with application monitoring

    Automatic discovery of containers

    Support Docker attributes and perspectives

    Visualize distribution of containers over cluster hosts

    Network Monitoring

    Autodiscovery of network topology and interdependencies

    Available via CA network flow analysis, which can be integrated with APM

    Report on throughput, packet loss, and RT rates

    Available via CA network monitoring tools, which can be integrated with APM

    Monitors network without need of TAP or SPAN port

    Available via CA network monitoring tools (without then need for TAP/SPAN), which can be integrated with APM

    Single UI to drill from network to application and business transaction

    Network monitoring data integrated into APM can be displayed natively within APM dashboards alongside business transaction data
    Virtualization Monitoring

    Citrix XenApp and XenDesktop monitoring

    Server virtualization monitoring

    VDI monitoring

    Web RUM

    Support for modern desktop browsers

    Support for mobile browsers

    Monitor all page requests

    Monitor all iFrame requests

    Full support for monitoring single page applications properly

    Automatically detect JavaScript errors

    Display response time status on Geo Map

    Collect and display Navigation Timing API data for all poor performing requests

    Collect and display Resource Timing API data for all poor performing requests

    Correlate web transactions with server side transactions for drill down

    Provide detailed browser traces for poor performing end user requests

    Provide usage based analytics showing browser types and versions

    Provide usage based analytics showing device and OS types

    Provide customizable analytics area for troubleshooting and analysis purposes

    Provide cache metrics for each page request

    Show server side response time for all pages

    Provide drill down from poor performing request to server side deep diagnostic session

    Session tracking

    Ability to generate a synthetic page request directly from the poor performing request

    SDK for support of any Single Page Application (SPA) framework

    EUM cross application correlation

    Analytics built into EUM portion of UI

    Custom user data available at the session and page request level

    Page grouping at root level instead of individual pages for each set of parameters

    Mobile RUM

    Support for native mobile applications

    Support for mobile browsers

    See mobile app performance, http errors, and network error information

    See the performance of API calls from your mobile application to the server side

    Track crashes and exception

    Provide crash analytics

    User tracing/breadcrumbs

    Trace transactions from mobile device all the way to the server side

    Correlate mobile transactions with server side transactions for drill down

    Provide usage and performance analytics based upon device type

    Provide usage and performance analytics based upon OS type

    Provide usage and performance analytics based upon OS version

    Provide unified user interface for mobile and server diagnostics

    Integrated and correlated data between mobile, server, and infrastructure monitoring

    Display response time status on Geo Map

    Provide device and carrier diagnostic metrics

    Track user sessions to understand user flows and behavior

    Capture user interactions within each session

    Alert based upon deviation from normal behavior for mobile metrics

    Provide percentile metrics related to mobile performance

    Ranking
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    Comparisons
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    Reviews
    1
    Average Words per Review
    457
    Rating
    5.0
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    2,157
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    Average Words per Review
    855
    Rating
    7.5
    Comparisons
    Also Known As
    SOASTA mPulse
    DX APM, CA APM, CA NetQoS Performance Center, Wily Introscope, CA Wily APM, CA App Experience Analytics, CA AXA
    Learn More
    Overview

    Akamai mPulse is a real user monitoring (RUM) solution that gives performance engineers, administrators, and developers the ability to effortlessly visualize website functionality issues and identify ways to improve processes that conventional testing protocols do not find. mPulse gives users usable scenarios to better understand how processes such as user interactions, visual progress, and third-party resources may be disrupting the overall user experience and application delivery.

    mPulse enables users to take a deep dive into the specific performance issues and complete comprehensive error analyses, to thoroughly understand the effect on critical user interactions such as conversions, page views, and more.

    mPulse gathers and delivers data on an organization's website’s performance and metrics on user web browsing experiences. The mPulse feature “Boomerang” is a JavaScript Library that monitors the website page load time. Boomerang has a unique plugin architecture and works with all websites. The Boomerang feature is embedded on each page of an organization's website.

    mPulse works seamlessly with Akamai solution Ion, so the RUM data can be instantly gathered once the Luna Control Center has been activated. Ion instantly attaches Boomerang to the organization’s web properties; there is no need to change the website code.

    Akamai mPulse Benefits

    • Third-party monitoring: mPulse enables users to effortlessly monitor and visualize the effect that third-party vendors, resources, and scripts may have on the organization’s web properties.

    • Real-time intuitions: RUM data is continually being gathered, so users are able to instantly experience changes in user performance during every critical event. Users are able to respond immediately and make corrections or amendments as needed. Additionally, mPulse integrates effectively with other third-party notification solutions, such as Slack, PagerDuty, and webhook API support.

    • Framework integrations: mPulse integrates with many of today’s popular single-page application (SPA) frameworks, such as React.js, Backbone.js, Angular.js, Ember.js, and even some custom frameworks. mPulse has the ability to also be seamlessly integrated in Non-SPA websites.

    • Intuitive feedback: mPulse gathers data and creates workable solutions so users have a better understanding of how objects, images, or even entire pages are affecting user behavior. Users can gather numerous metrics (custom or advanced) to achieve a better, more complete understanding of ways to improve the user experience with the application or website.

    • Custom metrics and timers: With mPulse, users can effortlessly create custom timers to discover important performance sessions unique to the application. The mPulse dashboard allows users to set up trackers for numerous metrics, such as:

      • First image load time
      • Sidebar load time
      • Page load times
      • Third-party resource content load time

    • mPulse Beacon API: This valuable benefit allows users to send custom metrics from mobile and web applications to mPulse. This gives mPulse greater flexibility and usability to frameworks and platforms that can make HTTP calls. Representational State Transfer (REST) interface is included and is able to be used by any web application using any language running on the platform. There is also a Beacon API library for JavaScript. This option is available from the dashboard by creating a new application and an API key.

    Broadcom DX Application Performance Management is a cutting-edge next-generation APM that goes beyond the traditional aspects of what other APMs provide by offering fully integrated AIOPS (Artificial Intelligence for IT Operations) capabilities embedded in the solution. This enables Broadcom DX Application Performance Management better opportunities to detect anomalies faster, correctly anticipate behavior, and perform intuitive automatic corrective processes. The solution is able to provide comprehensive full stack end-to-end monitoring and deliver complete visibility and a nearly flawless user experience.

    Broadcom DX Application Performance Management Benefits

    Broadcom DX Application Performance Management has many valuable key features. Some of its most useful features include:

    • Improves visibility: Users gain complete 360-degree visibility with all applications, infrastructure, and end users in modern, traditional, and all cloud-based environments.
    • Continuous improvement: Intuitive automated feedback is provided throughout the entire software development lifecycle.
    • Scalability: The solution is easily scalable to the enterprise level with very easy to use administration.
    • Improved user experience: The solution provides intuitive dynamic insights concerning overall application performance and across the complete user journey.

    Broadcom DX Application Performance Management Features

    There are many benefits to implementing Broadcom DX Application Performance Management. Some of the biggest advantages the solution offers include:

    • Custom personalized dashboards: Users are able to create their own specific views based on unique task-driven individualized requirements. This allows for comprehensive intuitive cross-domain analysis of the entire ecosystem and application usage from both synthetic and real user perspectives.
    • Fast, straightforward deployment: The solution offers an automated, zero-touch deployment process that better facilitates the monitoring and discovery of cloud-based and container applications. 
    • Improved administration processes: Agent administration and overall lifecycle processes are simplified, making configurations, deployments, and upgrades very simple.
    • Intuitive analysis: The solutions AIOPS processes provide for inherent root-cause detection and anomaly discovery to diagnose potential issues or problems immediately.
    • Improved visibility: Presented views are task-relevant to facilitate improved group topologies, and time-based to display the impact of performance anomalies. 
    • Improved mapping: Relationship mapping enables users to visualize all aspects of the environment with options to deep dive across entire applications, network layers, and infrastructure. 
    • Application support: The solution has functionality with Java, .Net, PHP, Node.js, Docker, Kubernetes, AWS, Google Cloud, and more. 
    • Flexibility: The solution is available both on premises and as a SaaS.

    Reviews from Real Users

    “The most valuable feature of Broadcom DX Application Performance Management for me is transaction monitoring. “ A Peerspot user who is an Applications Engineer at a financial services firm.

    “The most valuable features are the low overhead, the ability to monitor production on 24/7 principle, the ability to decrease time to discover the point of failure in the IT infrastructure or the application environment in a short period of time, reporting for analyzing the performance of the application for improving the code optimizing process.” A.Jurisic, CEO at Pio Pet d.o.o.

    “What is most valuable about this solution is that it completely monitors code-level visibility. We benefit from this as we're able to capture any performance issues from an application, then raise and forward those issues to the applicable team more quickly.” S. Doddi, APM consultant at Tech Mahindra Limited 

    Sample Customers
    Nordstrom, Gatwick, DirecTV, MSN, SquareSpace, SAP, Lenovo, Hallmark, myspace, Intuit, Kentucky Derby, Toys "R" Us, Netflix, Newsweek, The Washington Post, Lowe's, Nike, REI, Apple, Sears, Verizon, Wendy's, Huawei
    Lexmark, Intermountain Healthcare, National Australia Bank, BBVA Compass Bank, Innovapost, Dansk Supermarked Group, U.S. Cellular, Orange, Cetip
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company12%
    Retailer10%
    Government7%
    REVIEWERS
    Financial Services Firm38%
    Insurance Company13%
    Energy/Utilities Company11%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company15%
    Manufacturing Company11%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business14%
    Large Enterprise86%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business16%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise66%
    Buyer's Guide
    Application Performance Monitoring (APM) and Observability
    March 2024
    Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    Akamai mPulse is ranked 51st in Application Performance Monitoring (APM) and Observability with 1 review while Broadcom DX Application Performance Management is ranked 22nd in Application Performance Monitoring (APM) and Observability with 6 reviews. Akamai mPulse is rated 6.6, while Broadcom DX Application Performance Management is rated 8.0. The top reviewer of Akamai mPulse writes "Lacking in regard to observation of the entire platform but does dynamic injections from within". On the other hand, the top reviewer of Broadcom DX Application Performance Management writes "Provides efficiency in migration and DAW but requires a high level of administrator knowledge for configuration". Akamai mPulse is most compared with New Relic, Dynatrace, Grafana, Datadog and AppDynamics, whereas Broadcom DX Application Performance Management is most compared with Dynatrace, AppDynamics, BMC TrueSight Operations Management, VMware Aria Operations for Applications and New Relic.

    See our list of best Application Performance Monitoring (APM) and Observability vendors.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.