Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been named in the 2024 Gartner® Market Guide for Data Observability Tools.
According to Gartner, “By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024.”1
Gartner also notes that “One of the leading causes for the high demand for data observability is the huge demand for D&A leaders to implement emerging technologies, particularly generative AI (GenAI), in their organization.”1
Unravel’s Perspective
We believe that the recognition of Unravel as a Representative Vendor underscores our commitment to innovation and excellence in providing comprehensive data observability solutions that empower organizations to drive performance, efficiency, and cost-effectiveness in their data operations.
The Importance of Data Observability
Data observability is crucial in today’s data-driven world. It involves monitoring, tracking, and analyzing data to ensure the health and performance of data systems. Effective data observability helps organizations detect and resolve issues quickly, maintain service-level agreements (SLAs), resource efficiency, and speed time-to-market of AI and other data driven initiatives.
Demand is increasing for robust data observability tools to manage the growing complexity of modern data environments. As data volumes and velocities increase, so does the need for tools that can provide comprehensive visibility and actionable insights. Data observability platforms meet these needs by offering advanced features that support the governance and optimization of performance, costs, and productivity.
Figure 1. Options for data observability and FinOps. Source: Unravel Data.
Go Beyond Data Observability to Actionability
Unravel’s unique approach to data observability enables organizations to take action, automate, and streamline toilsome cloud data analytics platform monitoring, troubleshooting, and cost management. Unravel helps data teams overcome key challenges to accelerate time to value.
Figure 2. The critical features of data observability. Source: Gartner1.
Unravel’s Comprehensive Data Actionability Platform
Unravel Data’s AI-powered actionability platform is designed to provide deep visibility and enable teams to go beyond observability and take action to improve their modern data stacks, including platforms like Databricks, Snowflake, and BigQuery. AI-powered insights and automation help organizations optimize their data pipelines and infrastructure.
Accelerating Value Across the Organization
Although data observability is typically thought of as being synonymous with data quality, the role of data observability is expanding. As per Gartner, “The increasing complexity in data ecosystems will favor comprehensive data observability tools that can provide additional utilities beyond the monitoring and detection of data issues across platforms.”1 Data observability now includes a variety of new observation categories, including data content, data flow and pipelines, infrastructure and compute, users, usage, and utilization1.
With the introduction of its new AI agents—Unravel FinOps AI Agent, Unravel DataOps AI Agent, and Unravel Data Engineering AI Agent—Unravel enables each role within the organization to simplify and automate recommended actions.
These AI agents are built to tackle specific challenges faced by data teams:
Unravel FinOps AI Agent: This agent provides real-time insights into cloud expenditures, identifying cost-saving opportunities and ensuring budget adherence. It automates financial governance, allowing organizations to manage their data-related costs effectively.
Unravel DataOps AI Agent: By automating routine tasks such as data pipeline monitoring and anomaly detection, this agent frees up human experts to focus on strategic endeavors, enhancing overall productivity and efficiency.
Unravel Data Engineering AI Agent: This agent reduces the burden of mundane tasks for data engineers, enabling them to concentrate on high-value problem-solving. It enhances productivity and ensures precise and reliable data operations.
Figure 3. Unravel’s differentiated value. Source: Unravel Data.
Achieving Data Actionability with Unravel
Unravel’s platform not only observes but also enables teams to take action. By leveraging AI-driven insights, it provides recommendations and automated solutions to optimize data operations. This proactive approach allows organizations to stay ahead of potential issues and continuously improve their data performance and efficiency.
The recent announcement of AI agents exemplifies how Unravel is pushing the boundaries of what data observability can achieve. These agents are designed to lower the barriers to expertise, enabling even under-resourced data teams to operate at peak efficiency.
Get Started Today
Experience the benefits of Unravel’s data actionability platform with a free Health Check Report. This assessment provides insights into the current state of your data operations and quantifies potential improvements to boost performance, cost efficiency, and productivity.
Figure 4. Unravel’s Health Check Report. Source: Unravel Data.
1Gartner, Market Guide for Data Observability Tools, By Melody Chien, Jason Medd, Lydia Ferguson, Michael Simone, 25 June 2024
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