Elastic Recognized as a Leader in 2024 Gartner® Magic Quadrant™ for Observability Platforms
August 14, 2024
Share this

Elastic has been positioned by Gartner as a Leader in the Magic Quadrant for Observability Platforms for its offering, Elastic Observability.

The evaluation was based on specific criteria that analyzed the company’s overall Completeness of Vision and Ability to Execute.

“We believe Elastic’s recognition as a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms attests to the innovation that Elastic has delivered,” said Abhishek Singh, general manager of Observability at Elastic. “With the evolution of AI, exponential growth in data complexity, and customers’ increased focus on business performance and continuity, Elastic is in a strong position to meet customers’ future observability needs while helping them manage costs.”

Powered by the Elastic Search AI Platform, Elastic Observability helps prevent outages through proactive insights and a no-compromise Search AI platform that enables customers to retain and use all their data. It improves operational efficiency with reduced costs while future-proofing an organization’s investment.

Elastic believes that its observability solution provides customers with the following differentiating features:

- Proactive issue detection and resolution with contextual observability, automatically combining operational and business datasets to efficiently surface accurate and proactive insights with AI and machine learning.

- No compromise observability that delivers up to 50% savings with the Elastic Search AI platform, which enables real-time insights and analysis across all data, eliminating monitoring blind spots common in today’s tools.

- Future-proofs observability investments with an open solution that integrates seamlessly with an organization’s existing technology ecosystem and is extensible to their evolving needs.

- Upskills SREs with accurate insights from AI augmented by private data. Achieves unparalleled correlation and context across petabytes of indexed data with incredibly fast analytics.

- Improves uptime with a unified data store at an unmatched scale, eliminating the need for rehydration while enabling long-term historical analysis, reducing errors, and improving planning.

“Our aim was to create a ‘single pane of glass’ for anyone in the company to consume the data, metrics and logs they need,” said Joel Miller, senior director of Platform Engineering at Equinox. “Elastic provided a state-of-the-art observability solution and significantly lowered our costs. We also cut the time to deploy fixes by 50%.”

A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. A Magic Quadrant provides a geographical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct: Leaders, Visionaries, Niche Players and Challengers.

Share this

The Latest

October 31, 2024

Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...

October 30, 2024

On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...

October 29, 2024

Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...

October 28, 2024

Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...

October 24, 2024

High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...

October 23, 2024

Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic ...

October 22, 2024

Splunk's latest research reveals that companies embracing observability aren't just keeping up, they're pulling ahead. Whether it's unlocking advantages across their digital infrastructure, achieving deeper understanding of their IT environments or uncovering faster insights, organizations are slashing through resolution times like never before ...

October 21, 2024

A majority of IT workers surveyed (79%) believe the current service desk model will be unrecognizable within three years, with nearly as many (77%) saying new technologies will render it "redundant" by 2027, according to The Death (and Rebirth) of the Service Desk from Nexthink ...

October 17, 2024

Monitoring your cloud infrastructure on Microsoft Azure is crucial for maintaining its optimal functioning ... In this blog, we will discuss the key aspects you need to consider when selecting the right Azure monitoring software for your business ...

October 16, 2024

All eyes are on the value AI can provide to enterprises. Whether it's simplifying the lives of developers, more accurately forecasting business decisions, or empowering teams to do more with less, AI has already become deeply integrated into businesses. However, it's still early to evaluate its impact using traditional methods. Here's how engineering and IT leaders can make educated decisions despite the ambiguity ...