Compare Broadcom DX Application Performance Management vs. ITRS Geneos

Broadcom DX Application Performance Management is ranked 6th in Application Performance Management (APM) with 10 reviews while ITRS Geneos is ranked 9th in Application Performance Management (APM) with 4 reviews. Broadcom DX Application Performance Management is rated 7.8, while ITRS Geneos is rated 9.0. The top reviewer of Broadcom DX Application Performance Management writes "We can monitor how the application is connecting to the database and what queries are being requested". On the other hand, the top reviewer of ITRS Geneos writes "Enabled us to consolidate all our monitoring applications, allowing our NOC to see everything more clearly". Broadcom DX Application Performance Management is most compared with Dynatrace, AppDynamics, New Relic APM, Splunk and IBM Application Performance Management, whereas ITRS Geneos is most compared with Splunk, AppDynamics, Dynatrace, Nagios XI and Nagios Core. See our Broadcom DX Application Performance Management vs. ITRS Geneos report.

Broadcom DX Application Performance Management

ITRS Geneos

Broadcom DX Application Performance Management

Read 10 Broadcom DX Application Performance Management reviews.

9,468 views|5,818 comparisons

ITRS Geneos

Read 4 ITRS Geneos reviews.

7,552 views|4,536 comparisons

Most Helpful Review

Manish A. Parikh

ESM Engineer at a tech company

Has helped us in being proactive with in-depth analysis of app perf from an ESM perspective

We are introducing 10.1 in our dev environment and then prod down the road. APM is a new culture here so we are working with customers in getting... Read more »

Caleb Bond

E Business Systems Consultant at a financial services firm

Enables us to build visibility across a very large portfolio of applications rapidly and consolidate the views

With customizable dashboards, we've been able to build visibility across a very large portfolio of applications rapidly and consolidate the views.... Read more »

Free Report: Broadcom DX Application Performance Management vs. ITRS Geneos

Find out what your peers are saying about Broadcom DX Application Performance Management vs. ITRS Geneos and other solutions. Updated: May 2020.

Download now

420,458 professionals have used our research since 2012.

Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
Deep Dive and Transaction Analysis Triage capability.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.Users no longer need to depend upon the console for a compatible Java version. Now, users can directly learn the version, perform all their actions, and see all of those performance-related issues.For me, the most valuable feature is being able to check memory patterns. We check them when we do load testing or soak testing to see if there are any memory leaks.It's a very stable product.Some of its valuable features include transaction traces, dashboards, and metric grouping to see combined data.CA APM is very scalable and used in a clustered environment because it supports more than its technical capacity. More Broadcom DX Application Performance Management Pros »	The filtering in the Active Console is exceptional. Depending on the user base, some people don't want to see server-level errors, so we have filters set up in the Managed Entities view, which allow us to filter out things that certain groups don't want to see, while allowing them to see other things. It's a great real-time monitoring solution. And you can draw graphs immediately, right from the Active Console, whether they're current graphs or historical graphs.The Netprobe is so lightweight compared to the agents that most monitoring tools use. It's really superior to the competition. The agent that is used by almost every competitive tool takes a lot more system resources. It's slower and it requires a greater effort and more compromises in terms of security to install on the monitored servers. With Geneos, because it lives outside the code, it is far easier and far less taxing on the monitored systems.It enables us to monitor application processes, to do log-monitoring on a 24/7 basis, to do server-level monitoring - all the hardware parameters - as well as monitor connectivity across applications to the interfaces.One of the most valuable features is that it can be configured by non-developers. It doesn't require development expertise to configure it. More ITRS Geneos Pros »
Cons
User Experience is a BIG one. Integration of all of APM components into one swift deployment.The reason it's not a ten is because they don't focus enough on improving over time like other competitors do who have a more modern and complete tool.Our users lag how to identify the root cause with this solution. If they could come up with a more user-friendly version, that would be a good thing, since other vendors currently have better features and more user-friendly products than CA APM.As applications move to the cloud, we need more cloud-based solutions from CA APM. This is currently unavailable.A CA APM agent takes a lot of memory. That is one disadvantage. If you configure CA APM correctly it will still consume around 15 to 20 percent of memory.There is no auto flow diagram, and the alert mechanism is not as good when compared to other tools.CEM needs to be simplified, because it causes too many interruptions in our daily work. More Broadcom DX Application Performance Management Cons »	They have the Webslinger solution where you can see when something is alerting. It's a little bit cumbersome.One thing that could be improved in terms of rapid scaling would be more ability to clone aspects of an implementation. It seems like there are opportunities in this area, where we have repetitive tasks to do when it comes to implementing things on new servers or on new gateways. It would be great if there was an easy way to clone something that had already been done.Sometimes, if there is a lot of data coming onto the servers, we have observed a little bit of slowness on the gateway servers which are doing the ITRS dashboard monitoring.The ITA, the post-incident analytics, could be improved. More ITRS Geneos Cons »

Pricing and Cost Advice

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.Setup costs are quite competitive relative to other solutions, and simpler.

More Broadcom DX Application Performance Management Pricing and Cost Advice »

Pricing is the touchy subject, even here. Upper management always wants us to find a cheaper solution. But we have so much integrated with ITRS... It's expensive, but it does its job very well. And you set it and go.The licensing cost may seem expensive upfront. However, the service is outstanding, the tool does things that no other tools can do, and the customizability more than makes up for the cost of licensing.

More ITRS Geneos Pricing and Cost Advice »

See Which Vendors Are Best For You Use our free recommendation engine to learn which Application Performance Management (APM) solutions are best for your needs. See Recommendations 420,458 professionals have used our research since 2012.
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
6th out of 89 in Application Performance Management (APM) Views 9,468 Comparisons 5,818 Reviews 10 Average Words per Review 453 Avg. Rating 7.8	9th out of 89 in Application Performance Management (APM) Views 7,552 Comparisons 4,536 Reviews 4 Average Words per Review 1,749 Avg. Rating 9.0
Popular Comparisons
Dynatrace vs. Broadcom DX Application Performance Management Compared 32% of the time. AppDynamics vs. Broadcom DX Application Performance Management Compared 28% of the time. New Relic APM vs. Broadcom DX Application Performance Management Compared 9% of the time. Splunk vs. Broadcom DX Application Performance Management Compared 5% of the time. IBM Application Performance Management vs. Broadcom DX Application Performance Management Compared 2% of the time. See more Broadcom DX Application Performance Management competitors » + Add more products to compare	Splunk vs. ITRS Geneos Compared 23% of the time. AppDynamics vs. ITRS Geneos Compared 22% of the time. Dynatrace vs. ITRS Geneos Compared 15% of the time. Nagios XI vs. ITRS Geneos Compared 8% of the time. Nagios Core vs. ITRS Geneos Compared 2% of the time. See more ITRS Geneos competitors » + Add more products to compare
Also Known As
DX APM, CA APM, CA NetQoS Performance Center, Wily Introscope, CA Wily APM, CA App Experience Analytics, CA AXA	Geneos
Learn
Broadcom	ITRS
Overview
CA Application Performance Management (CA APM) is the solution global brands trust to proactively identify and resolve performance and availability issues across physical, virtual, cloud, and mobile applications. Patent-pending analytics provides expertise in the form of guided assisted triage workflows for in-depth, root-cause diagnostics across development and production applications, simplifying and speeding the time it takes to find and fix issues. CA APM scales to your organization’s needs and automatically correlates multiple sources of data to help you sort through the data and act decisively, helping to improve user experience and application performance.	ITRS Geneos is a real-time monitoring tool for managing increasingly complex and interconnected IT estates. Built for financial services and trading organisations, it collects a multitude of data relating to the performance of servers, infrastructure, connectivity and applications, analyses it to provide fresh information, and presents it in relevant, intuitive visualisations. For more information, please visit: https://www.itrsgroup.com/
Offer
Learn more about Broadcom DX Application Performance Management Learn More	Learn more about ITRS Geneos Learn More
Sample Customers
Lexmark, Intermountain Healthcare, National Australia Bank, BBVA Compass Bank, Innovapost, Dansk Supermarked Group, U.S. Cellular, Orange, Cetip	ITRS Geneos is used by over 170 financial institutions, including JPMorgan, HSBC, RBS, Deutsche Bank and Goldman Sachs. Clients range from investment banks to exchanges and brokers.
Top Industries
REVIEWERS Financial Services Firm39% Insurance Company13% Energy/Utilities Company12% Comms Service Provider8% VISITORS READING REVIEWS Software R&D Company34% Comms Service Provider16% Financial Services Firm11% Insurance Company11%	REVIEWERS Financial Services Firm96% Software R&D Company4% VISITORS READING REVIEWS Financial Services Firm41% Software R&D Company26% Comms Service Provider13% Media Company4%

Free Report: Broadcom DX Application Performance Management vs. ITRS Geneos

Find out what your peers are saying about Broadcom DX Application Performance Management vs. ITRS Geneos and other solutions. Updated: May 2020.

Download now

420,458 professionals have used our research since 2012.

See our list of best Application Performance Management (APM) vendors.

We monitor all Application Performance Management (APM) 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.

Compare Broadcom DX Application Performance Management vs. ITRS Geneos

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

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

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

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

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

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.)

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

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

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

Provide capability to compare business transactions flows for different releases

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

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

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