CA APM vs. Quest Foglight for APM

CA APM is ranked 3rd in Application Performance Management (APM) with 71 reviews vs Quest Foglight for APM which is ranked 13th in Application Performance Management (APM) with 2 reviews. The top reviewer of CA APM writes "There is a primary layer of alerting or metrics monitoring put in place. The initial setup is complex". The top reviewer of Quest Foglight for APM writes "Drill-down monitoring shows us the entire transaction chain, from the front end to back end. It needs HTML5 interface". CA APM is most compared with Dynatrace, AppDynamics and New Relic APM. Quest Foglight for APM is most compared with Oracle Enterprise Manager, AppDynamics and SCOM. See our CA APM vs. Quest Foglight for APM report.
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Find out what your peers are saying about CA APM vs. Quest Foglight for APM and others in Application Performance Management (APM).
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Quotes From Members Comparing CA APM vs. Quest Foglight for APM

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.​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.Stability is one of the strongest attributes of CA APM. It is very stable on all platforms.Now, we know we have a problem, because there is a primary layer of alerting or metrics monitoring put in place, that is the good part.Cross-VM transaction traces provide a complete "what happened where".Proactive snapshots of transactions and all details of a transaction are saved in case of an error.Attribute decoration is a unique and very powerful feature. We can add meaningful meta information based on our internal demand.

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The most valuable feature is drill-down monitoring, which shows us from one interface the transaction chain from the front end to back end.It provides a history of the activities on our SQL servers.

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Cons
User Experience is a BIG one. Integration of all of APM components into one swift deployment.CEM needs to be simplified, because it causes too many interruptions in our daily work.Its profiling. The uniqueness instead of me looking at sampling data, I need to know the m-1 event that actually triggered my scenario where that m event caused a catastrophic event, like a ripple effect; I need to know that m-1. What triggered my major event means I need to understand the event that triggered it and before the cause of that event itself.The initial setup is complex.I would like to see intelligence, deep intelligence or deep analytics.The following need improvement: 1) Integration of third-party content into app maps (e.g. data coming from beats/elastic platform). 2) Support of new application server technologies, time to adopt new versions of them. 3) Dashboarding capabilities (as with all other vendors). 4) Application architecture of the central Enterprise Manager should be developed into a cloud native architecture. 5) Mitigation of SPOF – PostgreSQL database, behind Team Center.We enountered stability issues. They were mitigated by performance tuning within infrastructure.System incident analysis and performance monitoring need improvement.

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I want to see a new interface that contains HTML5 features. The current version of Foglight (on-premise edition) is so fusty in comparison with leaders of Gartner APM Quadrant - i.e. Appdynamics, NewRelic, Dynatrace.I would perhaps like to see more SSMS connections.

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Pricing and Cost Advice
Setup costs are quite competitive relative to other solutions, and simpler.On pricing, CA is very competitive. I think that's going to help in the long run.Pricing and licensing are not issues.Negotiate a lot, but do not forget to buy the product because it is worth it.There is some research needed to determine licensing costs, based on the number of DataPower instances for the Nastel agent, for example.Althougth it is a bit expensive, it is really worth it

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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
Views
46,707
Comparisons
7,003
Reviews
74
Followers
1,828
Avg. Rating
8.1
Views
11,891
Comparisons
1,913
Reviews
2
Followers
279
Avg. Rating
8.0
Unranked
In Application Performance Management (APM)
Top Comparisons
Compared 27% of the time.
Compared 25% of the time.
Compared 13% of the time.
See more CA APM competitors »
Compared 12% of the time.
See more Quest Foglight for APM competitors »
Compared 29% of the time.
Also Known As
CA NetQoS Performance Center, Wily Introscope, CA Wily APM, CA App Experience Analytics, CA AXAFoglight, Dell Foglight
Learn how it works
CA Technologies
Quest Software
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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.

Manage your application infrastructure by monitoring the IT components that affect application performance.
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OFFER
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Sample Customers
Lexmark, Intermountain Healthcare, National Australia Bank, BBVA Compass Bank, Innovapost, Dansk Supermarked Group, U.S. Cellular, Orange, Cetip Anji Automotive Logistics, Unimat, Priceline.com
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Top Industries
REVIEWERS
Financial Services Firm
39%
Insurance Company
13%
Energy/Utilities Company
12%
Comms Service Provider
8%
VISITORS READING REVIEWS
Financial Services Firm
28%
Comms Service Provider
15%
Insurance Company
8%
Media Company
6%
REVIEWERS
Financial Services Firm
44%
K 12 Educational Company Or School
11%
Healthcare Company
11%
University
11%
VISITORS READING REVIEWS
Financial Services Firm
21%
Media Company
16%
Manufacturing Company
6%
Retailer
5%
No Data Available
Company Size
REVIEWERS
Small Business
14%
Midsize Enterprise
14%
Large Enterprise
72%
VISITORS READING REVIEWS
Small Business
9%
Midsize Enterprise
33%
Large Enterprise
58%
REVIEWERS
Small Business
13%
Midsize Enterprise
30%
Large Enterprise
57%
VISITORS READING REVIEWS
Small Business
18%
Midsize Enterprise
29%
Large Enterprise
53%
No Data Available
Find out what your peers are saying about CA APM vs. Quest Foglight for APM and others in Application Performance Management (APM).
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306,037 professionals have used our research since 2012.
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.

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