Compare CA APM vs. Splunk

CA APM is ranked 6th in Application Performance Management (APM) with 27 reviews while Splunk is ranked 1st in Security Information and Event Management (SIEM) with 58 reviews. CA APM is rated 7.8, while Splunk is rated 8.8. 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 Splunk writes "Its AMIs make it easy to spin up a Splunk cluster or add a new node to it". CA APM is most compared with Dynatrace, AppDynamics and New Relic APM, whereas Splunk is most compared with IBM QRadar, Dynatrace and Graylog.
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CA APM Logo
10,737 views|5,963 comparisons
Splunk Logo
97,577 views|78,990 comparisons
Most Helpful Review
Find out what your peers are saying about Dynatrace, AppDynamics, Datadog and others in Application Performance Management (APM). Updated: November 2019.
383,162 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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With good domain knowledge, one can build almost anything. If you throw in Alert Manager or an integration with ServiceNow. Then, you have your own SIEMOur clients are easily able to modify and evolve their implementations.The initial setup is really straightforward. It's one of the easiest installations.It helps us uncover bottlenecks in the network.it can explain to management about what kind of traffic is visiting the network. It can also explain other traffic coming in and out, along with protecting against malware.The most valuable feature of Splunk is the log monitoring.It can log more logs than other solutions. It's a good way to troubleshoot problems.We can present to our management in real time the security of the batch management for the PCs, security regarding the network equipment. We're currently working in the Azure Cloud project, so we can send any logs from the cloud to Splunk. We can monitor them and we can present to the managers and customers. It's a very good solution for reporting. We use Splunk for reporting and monitoring of any solution in the company.

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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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It needs a better way to export dynamic views without requiring a ton of code and user/pw.It needs integration with a configuration management solution.It needs integration with a configuration management solution.They should make data onboarding easier.The product was difficult to back up the first time.Splunk needs local technical support.If possible, we would like to have not only a log monitoring system but a network monitoring feature in this solution as well.Cybersecurity and infrastructure monitoring have room for improvement.

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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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Splunk is really expensive.Splunk should be able to integrate with other product using the free version.The pricing and licensing of the product are quite high.Splunk's cost is very high. They need to review the pricing. They have to go back and totally readdress the market.It's a little bit expensive for a small to medium enterprise.I think the price could be improved.I am not personally involved with the pricing of the solution.Some of the insights that we have obtained as a part of using Splunk have greatly helped us in increasing our revenue in terms of selling our products.

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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
10,737
Comparisons
5,963
Reviews
29
Average Words per Review
542
Avg. Rating
7.8
Views
97,577
Comparisons
78,990
Reviews
56
Average Words per Review
332
Avg. Rating
8.8
Top Comparisons
Compared 33% of the time.
Compared 23% of the time.
Compared 9% of the time.
Compared 10% of the time.
Compared 9% of the time.
Compared 8% of the time.
Also Known As
CA NetQoS Performance Center, Wily Introscope, CA Wily APM, CA App Experience Analytics, CA AXA
Learn
CA (A Broadcom Company)
Splunk
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.

Splunk software has been around since 2006 and the company has since grown to become an industry leader. Splunk's vision is to make machine data accessible, usable and valuable to everybody. The company offers a wide range of products to turn machine data into valuable information by monitoring and analyzing all activities. This is known as Operational Intelligence and is the unique value proposition of Splunk.

Splunk is well-known for its Log Management capabilities and also for its Security Information and Event Management (SIEM) solutions.

Offer
Learn more about CA APM
Learn more about Splunk
Sample Customers
Lexmark, Intermountain Healthcare, National Australia Bank, BBVA Compass Bank, Innovapost, Dansk Supermarked Group, U.S. Cellular, Orange, Cetip Splunk has more than 7,000 customers spread across over 90 countries. These customers include Telenor, UniCredit, ideeli, McKenney's, Tesco, and SurveyMonkey.
Top Industries
REVIEWERS
Financial Services Firm39%
Insurance Company13%
Energy/Utilities Company12%
Comms Service Provider8%
VISITORS READING REVIEWS
Financial Services Firm24%
Software R&D Company14%
Manufacturing Company13%
Government9%
REVIEWERS
Financial Services Firm20%
Energy/Utilities Company18%
Retailer12%
Insurance Company8%
VISITORS READING REVIEWS
Software R&D Company28%
Comms Service Provider11%
Financial Services Firm10%
Media Company6%
Company Size
REVIEWERS
Small Business15%
Midsize Enterprise13%
Large Enterprise72%
VISITORS READING REVIEWS
Small Business3%
Midsize Enterprise31%
Large Enterprise66%
REVIEWERS
Small Business27%
Midsize Enterprise13%
Large Enterprise59%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise20%
Large Enterprise63%
Find out what your peers are saying about Dynatrace, AppDynamics, Datadog and others in Application Performance Management (APM). Updated: November 2019.
383,162 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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