Compare CA APM vs. New Relic APM

CA APM is ranked 6th in Application Performance Management (APM) with 36 reviews while New Relic APM is ranked 3rd in Application Performance Management (APM) with 16 reviews. CA APM is rated 7.8, while New Relic APM is rated 8.6. 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". On the other hand, the top reviewer of New Relic APM writes "We have been able to proactively identify failures before they happen". CA APM is most compared with Dynatrace, AppDynamics and New Relic APM, whereas New Relic APM is most compared with Datadog, Dynatrace and Splunk. See our CA APM vs. New Relic APM report.
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11,886 views|6,430 comparisons
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15,991 views|11,599 comparisons
Most Helpful Review
Find out what your peers are saying about CA APM vs. New Relic APM and other solutions. Updated: September 2019.
366,239 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
The time it takes to track problems in applications is the most valuable return that we have from this solution.​Deep Dive and Transaction Analysis Triage capability.​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.

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The most valuable feature of New Relic APM is the dashboard, New Relic Insights. I configured my own dashboard to monitor certain parameters.As soon as it monitors all our systems and is integrated with PagerDuty, the operations team just needs to wait for alerts on their cellphones to fix things.They have baseline level alerting.We detect issues using dashboards that we built on New Relic.Every time there is a crisis, high traffic, or if we see a problem with a server, we go to New Relic and monitor it to determine the cause.The deep insights, which will give you the metrics (not a high level), so we can build out at the database level where the bottleneck is. This has been pretty helpful.New Relic has helped us in terms of the optimizing our print and loading times.It is a software solution as a service, so I don't have to manage it on-premise.

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Cons
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.User Experience is a BIG one. Integration of all of APM components into one swift deployment.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.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.

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I would like to see the company implement the AI auto-baseline feature which Dynatrace has.I would like if it could have predictive analysis. Today, we only have the option to configure thresholds.I would like an infrastructure network that provides real-time views, showing the issues.Compared to their competitors, they are missing some features at the moment.The APIs could be better. I would also like more APIs and features to integrate with streaming solutions, like Kinesis or Kafka.I would like to be able to invest less time in IT and ad hocs. We should be concentrating on other issues.I would like to have storage monitoring. E.g., being able to monitor SANS, specifically protocols, like NFS and CIFS metrics.The integration and configuration of this product in our AWS environment needs improvement on the filtering part. I would like it to go more granular on accounts.

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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.On pricing, CA is very competitive. I think that's going to help in the long run.

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Pricing is better with New Relic APM than Dynatrace.The new licensing model is great, as we pay for what we use (in computational units). However, the pricing is expensive compared to other tools.The detection piece of it brings us a big return on investment.The pricing could be better. We did not purchase the full version. Maybe if we applied all the other features of the full version of New Relic, we could get all the features that we feel are missing.Purchasing through the AWS Marketplace was easy. The product is easy to deploy and manage, which is why our company purchased through the AWS Marketplace.The pricing model is a little confusing for beginners. They find it a little expensive, and if you are using it already, then that is not good.The pricing is okay comparatively their competitors. The only concern was whether it should be purchased on demand or bring your own license, and which way passes some savings onto the end customers.We deploy everything on AWS. Purchasing the product on AWS Marketplace made it easier for us.

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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
11,886
Comparisons
6,430
Reviews
36
Average Words per Review
496
Avg. Rating
7.9
Views
15,991
Comparisons
11,599
Reviews
16
Average Words per Review
415
Avg. Rating
8.5
Top Comparisons
Compared 33% of the time.
Compared 25% of the time.
Compared 9% of the time.
Compared 24% of the time.
Compared 22% of the time.
Compared 12% of the time.
Also Known As
CA NetQoS Performance Center, Wily Introscope, CA Wily APM, CA App Experience Analytics, CA AXANew Relic Mobile
Learn
CA Technologies
New Relic
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.

New Relic is a software analytics and application performance management solution that gives users in-depth data visibility and analytics. By going right to the source, the code, New Relic enables users to develop quicker software, build improved products,and consistently impress their customers. Data tells a story and New Relic interprets what it is telling you.

Offer
Learn more about CA APM
Learn more about New Relic APM
Sample Customers
Lexmark, Intermountain Healthcare, National Australia Bank, BBVA Compass Bank, Innovapost, Dansk Supermarked Group, U.S. Cellular, Orange, Cetip Dow Jones, Microsoft, Nike, Groupon, NBC, Sony, Fox, Adobe, Best Buy, Walmart, and WebMD, Cirque du Soleil, FlightNetwork.com, France Télévisions SA, Hachette Book Group, Hy-Vee, Inc., Isolation Network, Inc., Lighthouse eDiscovery, Major League Soccer, NYC-DOT, New Zealand Media and Entertainment, Office Depot International in Europe, Royal Opera House, Adobe Systems Incorporated, American Eagle Outfitters, Inc., Citrix, Despegar.com, Eastern Bank Corporation, Fox Sports, Globosat, Hogg Robinson plc, iHeartMedia, Jive, Kent State University, Multiplus, NBCUniversal, Ocado, REI, Sensis, VenueNext, Yellow Pages Limited and Zenefits
Top Industries
REVIEWERS
Financial Services Firm39%
Insurance Company13%
Energy/Utilities Company12%
Comms Service Provider8%
VISITORS READING REVIEWS
Financial Services Firm37%
Manufacturing Company15%
Insurance Company7%
Healthcare Company6%
REVIEWERS
Financial Services Firm20%
Media Company13%
Software R&D Company11%
Retailer7%
VISITORS READING REVIEWS
Financial Services Firm18%
Software R&D Company12%
Manufacturing Company9%
University9%
Company Size
REVIEWERS
Small Business15%
Midsize Enterprise13%
Large Enterprise72%
VISITORS READING REVIEWS
Small Business3%
Midsize Enterprise27%
Large Enterprise70%
REVIEWERS
Small Business37%
Midsize Enterprise30%
Large Enterprise34%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise12%
Large Enterprise71%
Find out what your peers are saying about CA APM vs. New Relic APM and other solutions. Updated: September 2019.
366,239 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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