Gartner Releases 2014 Magic Quadrant for APM
November 03, 2014
Share this

Gartner released the 2014 Magic Quadrant for Application Performance Monitoring report, by Research VPs Jonah Kowall and Will Cappelli.

The report noted an increased importance in the software-as-a-service (SaaS) delivery method for Application Performance Management (APM) capabilities: “Users are growing ever more convinced that there is little or no functional or performance loss when consuming APM through a SaaS delivery mode. In fact, security and operations issues can often be reduced or eliminated by consuming SaaS technologies. At the same time, the advantages of a zero-management platform and reduced maintenance and continuous feature evolution are becoming ever more salient in a ‘do more for less’ and DevOps-influenced IT environment.”

The report predicts, "By 2017 50% of application performance monitoring (APM) deployments that fulfill all five dimensions of functionality will be primarily SaaS, up from under 20% today."

The five dimensions of functionality include:

■ End-user experience monitoring (EUM)

■ Application topology discovery and visualization

■ User-defined transaction profiling

■ Application component deep dive

■ IT Operations Analytics (ITOA)

In the report, Gartner also noted key shifts in the functional emphasis of solutions in the changing APM market this year. “First, driven by the increasing significance of mobile application endpoints and dynamic Web technology, EUM is becoming even more important than it currently is to enterprises,” states the report.

"Second, the 2013 argument between an approach to application performance analytics that would couple ITOA functionality tightly to an APM portfolio and one that envisioned APM as one discipline that used a domain-independent ITOA platform, among others, will be decided in favor of the latter approach."

Evaluation criteria for "completeness of vision" included market understanding, marketing strategy, sales strategy, product strategy, business model, vertical and industry strategy, innovation, and geographic strategy. Criteria for "ability to execute" included product, overall viability, sales execution and pricing, market responsiveness and record, marketing execution, customer experience, and operations. Gartner positions each vendor on two axes — Completeness of Vision and Ability to Execute — which lands them in a particular Quadrant. Those who demonstrate market understanding on both axes are placed in the top right "Leaders" quadrant. In this report, AppDynamics, Compuware (now Dynatrace) and New Relic, were placed in the Leaders quadrant. The other vendors featured in the report include AppNeta, BMC, CA Technologies, HP, IBM, ManageEngine, Microsoft, Riverbed Technology and SmartBear.

“The Gartner Magic Quadrant is a particularly credible metric because of the meticulous methodology they follow in researching the marketplace," says Jyoti Bansal, AppDynamics founder and CEO. "Gartner’s APM analysts interview hundreds of customers who are APM users. The Magic Quadrant report reflects the feedback from these actual users, as well as other evaluation criteria and the expertise of Gartner’s analysts, and is widely used and trusted by APM buyers.”

Several links to the report are available below.

Share this

The Latest

September 23, 2021

The Internet played a greater role than ever in supporting enterprise productivity over the past year-plus, as newly remote workers logged onto the job via residential links that, it turns out, left much to be desired in terms of enabling work ...

September 22, 2021

The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...

September 21, 2021

After a year of unprecedented challenges and change, tech pros responding to this year’s survey, IT Pro Day 2021 survey: Bring IT On from SolarWinds, report a positive perception of their roles and say they look forward to what lies ahead ...

September 20, 2021

One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...