Compare 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: March 2021.
475,705 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:
"Deep Dive and Transaction Analysis Triage capability."
"The features that I find most valuable are related to network monitoring."
"The feature that I have found the most valuable is its user interface."
"JVM memory monitoring and connection pool monitoring are valuable features."
"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."
"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."
"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."
"One thing we're utilizing in Geneos is the Gateway-SQL. That's really helpful for us. Using Gateway-SQL, we are able to merge two different views into one. Suppose we have to check something in the log and that we have to check something in the database and do a comparison before publishing a result. We can achieve that using Gateway-SQL."
"It's also easy to implement. The implementation of Geneos is very easy and interesting. It's not complicated. It's very quick to implement. The installation is very easy. There are many topics about ITRS Geneos that explain more about the features of the function of Geneos."
"The biggest benefit of Geneos is the fact that we can clearly see, if we have an alert, where that alert has come from. We can see the data around that alert and anything that might be relevant is also shown. We can very easily right-click and see why we've received that alert. That's the best part about it, that you've got all the data there with the alerting."
"The solution is used across the entire investment banking division, covering environments such as electronic trading, algo-trading, fixed income, FX, etc. It monitors that environment and enables a bank to significantly reduce down time. Although hard to measure, since implementation, we have probably seen some increased stability because of it and we have definitely seen teams a lot more aware of their environment. Consequently, we can be more proactive in challenging and improving previously undetected weaknesses."
Cons
"User Experience is a BIG one. Integration of all of APM components into one swift deployment."
"Technical support needs to be more responsive and address support tickets more quickly."
"They can make it easier to configure."
"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."
"You can sell licenses and install the full tool on service, you can show customers how to install, but how to use it and solve issues cannot be done without the experience."
"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."
"They have the Webslinger solution where you can see when something is alerting. It's a little bit cumbersome."
"I would really like to see something from the Geneos side to set up automated reporting from ITRS. We have to send reporting to management every day. To do that we have to check the dashboard and then we have to report whether everything is fine or not. In the future, I want something, some reporting kind of feature in ITRS, where it can collect all the data and mention what is green, what is amber, what is red in a report."
"There is a part of the rules for monitoring alerts. I want to understand more about how to choose the samples and the requirements for the rules. That is the part that I want to understand better and get better training for."
"One area where there is room for improvement is the log file. I would like to be able to do a pre-run on the log files. When you are testing log files for regular expressions, it would be good to be able to do a quick check up front on that side of things before you release that into production."
"Mobile phone integration is probably not as rich as it could be."
"Broadcom is a better and cheaper option from the financial perspective. It also depends on the DLP plug."
"The licensing costs are expensive."
"All discounts are case by case to accommodate the client's budgets."
More Broadcom DX Application Performance Management Pricing and Cost Advice »
"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."
"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."
"It is expensive. They have to look at the model around when we move to cloud and how that's going to work. The licensing cost does pay off because of the improvements in support to our business."
"When I first came in, their pricing was very high. ITRS had a high expectation of what their price should be based on perceived value. I think they have been realizing, more recently, that there are other competitors, so their pricing is a lot better. Licensing for on-premise is okay, however I feel there is quite some work to be done for cloud and containers. We're still working with them to try and work out what that pricing should look like."
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Top Answer: JVM memory monitoring and connection pool monitoring are valuable features.
Top Answer: The licensing costs are expensive.
Top Answer: 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. If it's really long then it only provides part of it… more »
Top Answer: The biggest benefit of Geneos is the fact that we can clearly see, if we have an alert, where that alert has come from. We can see the data around that alert and anything that might be relevant is… more »
Top Answer: It is expensive. They have to look at the model around when we move to cloud and how that's going to work. The licensing cost does pay off because of the improvements in support to our business.
Top Answer: One area where there is room for improvement is the log file. I would like to be able to do a pre-run on the log files. When you are testing log files for regular expressions, it would be good to be… more »
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 APMHistorical 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 regressionProvide 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 APMLog file data through TCP
Available via CA's log analytics solution which can be integrated with APMAuto-inject business transaction identifier for each log statement
Can be configured via custom tracer, requires integration with logging frameworkAbility to extract any field from log file for processing
Available via CA's log analytics solution which can be integrated with APMRoot 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 APMReport on throughput, packet loss, and RT rates
Available via CA network monitoring tools, which can be integrated with APMMonitors 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 APMSingle 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 dataVirtualization 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
Views
6,927
Comparisons
4,172
Reviews
6
Average Words per Review
490
Rating
8.2
Views
7,797
Comparisons
4,495
Reviews
7
Average Words per Review
1,647
Rating
9.0
Compared 28% of the time.
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Compared 20% of the time.
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Compared 13% of the time.
Compared 10% of the time.
Compared 6% of the time.
DX APM, CA APM, CA NetQoS Performance Center, Wily Introscope, CA Wily APM, CA App Experience Analytics, CA AXA
Geneos
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/
Learn more about Broadcom DX Application Performance Management
Learn more about ITRS Geneos
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.
Financial Services Firm40%
Insurance Company14%
Energy/Utilities Company11%
Comms Service Provider8%
Computer Software Company32%
Comms Service Provider17%
Financial Services Firm12%
Government10%
Financial Services Firm96%
Computer Software Company4%
Financial Services Firm56%
Computer Software Company19%
Comms Service Provider8%
Insurance Company2%
Small Business16%
Midsize Enterprise14%
Large Enterprise71%
Small Business11%
Midsize Enterprise22%
Large Enterprise67%
Small Business52%
Midsize Enterprise27%
Large Enterprise21%
Find out what your peers are saying about Broadcom DX Application Performance Management vs. ITRS Geneos and other solutions. Updated: March 2021.
475,705 professionals have used our research since 2012.
Broadcom DX Application Performance Management is ranked 11th in Application Performance Management (APM) with 6 reviews while ITRS Geneos is ranked 7th in Application Performance Management (APM) with 6 reviews. Broadcom DX Application Performance Management is rated 8.2, while ITRS Geneos is rated 9.0. The top reviewer of Broadcom DX Application Performance Management writes "Has helped us in being proactive with in-depth analysis of app perf from an ESM perspective". On the other hand, the top reviewer of ITRS Geneos writes "You can easily pull data together onto a screen to show business flow". Broadcom DX Application Performance Management is most compared with AppDynamics, Dynatrace, New Relic APM, BMC TrueSight Operations Management and Instana Dynamic APM, whereas ITRS Geneos is most compared with Splunk, AppDynamics, Dynatrace, AppDynamics Server Monitoring and Nagios XI. See our Broadcom DX Application Performance Management vs. ITRS Geneos report.
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