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Compuware APM Named a Big Data Leader

CIO Review Magazine named Compuware APM as one of the Top 100 Most Promising Big Data Companies.

CIO Review's list recognizes companies at the forefront of tackling the big data explosion, and benefits CIOs and IT decision makers by cutting through vendor hype to identify solutions and products that can best help them with their big data strategies and deployments.

"Compuware APM has been on our radar for a long time now for stirring a revolution in big data, and we are happy to showcase them this year thanks to their continuing excellence in delivering top-notch technology driven solutions," said Harvi Sachar, Publisher & Founder, CIO Review. "Compuware APM for Big Data continued to break new ground this past year, benefiting its customers around the globe. We're pleased to have them featured on our top companies list."

As companies deploy big data to better capture customer interactions and make real-time decisions, they need to ensure both availability and performance of their big data deployments on a continuous basis. The faster insights are unlocked, the sooner they can deliver value to customers. This new paradigm is making modern APM an integral part of big data applications and a key driver helping organizations adapt to the new, dynamic nature of business operations.

Compuware APM for Big Data was created to address these challenges by helping organizations take control and efficiently manage their big data environments. Benefits of Compuware APM for Big Data include:

- Making teams smarter and reducing the costs of running Hadoop applications by quickly detecting bottlenecks and the root-cause of issues, speeding big data analytics, and eliminating wasted hours spent collecting and sifting through thousands of logs files;

- Helping businesses make the right big data investments and purchasing decisions by profiling workloads and determining the optimized hardware configuration;

- Tracking cluster usage on a per-user basis, giving operations the insight needed to appropriately charge their stakeholders for resources consumed and enforce SLAs critical to business processes; and

- Reducing risk when extending mission-critical systems with NoSQL databases such as HBase, Cassandra, and MongoDB, by providing deep visibility into both application behavior and database dependencies as well as identifying root cause of performance issues in a single click.

"We are honored to be recognized once again for our leadership in big data, this time by CIO Review Magazine," said John Van Siclen, General Manager of Compuware's APM business unit. "While we are proud of our accomplishments to date, our commitment to helping big data teams improve performance, gain control, lower costs and win the analytics race will never end. Whether companies are deep into big data strategies and deployments or are just entering the picture, we are here to help."

CIO Review's annual 100 Most Promising Big Data Companies list was compiled by a panel of experts including CEOs, CIOs, VCs, industry analysts and members of the magazine's editorial board.

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Compuware APM Named a Big Data Leader

CIO Review Magazine named Compuware APM as one of the Top 100 Most Promising Big Data Companies.

CIO Review's list recognizes companies at the forefront of tackling the big data explosion, and benefits CIOs and IT decision makers by cutting through vendor hype to identify solutions and products that can best help them with their big data strategies and deployments.

"Compuware APM has been on our radar for a long time now for stirring a revolution in big data, and we are happy to showcase them this year thanks to their continuing excellence in delivering top-notch technology driven solutions," said Harvi Sachar, Publisher & Founder, CIO Review. "Compuware APM for Big Data continued to break new ground this past year, benefiting its customers around the globe. We're pleased to have them featured on our top companies list."

As companies deploy big data to better capture customer interactions and make real-time decisions, they need to ensure both availability and performance of their big data deployments on a continuous basis. The faster insights are unlocked, the sooner they can deliver value to customers. This new paradigm is making modern APM an integral part of big data applications and a key driver helping organizations adapt to the new, dynamic nature of business operations.

Compuware APM for Big Data was created to address these challenges by helping organizations take control and efficiently manage their big data environments. Benefits of Compuware APM for Big Data include:

- Making teams smarter and reducing the costs of running Hadoop applications by quickly detecting bottlenecks and the root-cause of issues, speeding big data analytics, and eliminating wasted hours spent collecting and sifting through thousands of logs files;

- Helping businesses make the right big data investments and purchasing decisions by profiling workloads and determining the optimized hardware configuration;

- Tracking cluster usage on a per-user basis, giving operations the insight needed to appropriately charge their stakeholders for resources consumed and enforce SLAs critical to business processes; and

- Reducing risk when extending mission-critical systems with NoSQL databases such as HBase, Cassandra, and MongoDB, by providing deep visibility into both application behavior and database dependencies as well as identifying root cause of performance issues in a single click.

"We are honored to be recognized once again for our leadership in big data, this time by CIO Review Magazine," said John Van Siclen, General Manager of Compuware's APM business unit. "While we are proud of our accomplishments to date, our commitment to helping big data teams improve performance, gain control, lower costs and win the analytics race will never end. Whether companies are deep into big data strategies and deployments or are just entering the picture, we are here to help."

CIO Review's annual 100 Most Promising Big Data Companies list was compiled by a panel of experts including CEOs, CIOs, VCs, industry analysts and members of the magazine's editorial board.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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