Compare Broadcom DX Application Performance Management vs. Micro Focus Voltage SiteScope

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 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

Available through CA's Log Analytics solution which can be integrated with APM

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

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

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

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)

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

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

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

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

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

Integrated monitoring of Dockerized containers with application monitoring

Automatic discovery of containers

Support Docker attributes and perspectives

Visualize distribution of containers over cluster hosts

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

Citrix XenApp and XenDesktop monitoring

Server virtualization monitoring

VDI monitoring

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

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