Unravel Data announced the Unravel Partner Program, which brings together world-leading technology innovators that support Unravel’s mission to radically simplify the way businesses optimize the performance of their modern data applications and the complex pipelines that power those applications.
The new program debuts with the appointment of Mark Wolfram as VP of Business Development and Partnerships, who will direct the program’s strategy and expansion.
Unravel’s Partner Program ecosystem includes a robust list of brands including Informatica, Attunix, Dell and RCG Global Services to help their customers solve data operations challenges and optimize their cloud adoption plans :
● Technology and Platform Partners:
Unravel’s partnerships with leading cloud platforms, data management, data operations and analytics partners guarantee the performance, reliability and cost of data systems. Customers benefit from operationalized data application workloads and the ability to address performance and reliability challenges while in production. Opportunities for optimization are pinpointed to ensure that service level agreements are met and resources are optimized. And as data workloads move to the cloud and hybrid deployment models, Unravel can accelerate decision making while eliminating risk.
● Solution Partners:
Unravel’s partnerships with integrators and solution providers deliver validated data operations solutions to their customers to guarantee the performance, reliability and cost of their data systems either on premises or in the cloud. Customers benefit from access to highly differentiated Unravel technology to solve a variety of data operations and cloud migration challenges. Unravel’s training and support accelerates time to value, as does its direct and early access to product, engineering and go-to market teams for deal acceleration and collaborative support in solution design.
“We share with Unravel the common goal of building a culture of innovation and helping customers benefit from all of their data, not just the data for which they have ready-made solutions or tools,” stated Rick Skriletz, Global Managing Principal at RCG Global Services. “Although it’s not a universal truth, we typically find the more data that can be brought to bear on a problem, the better the results. Our complementary solution sets – and tight integration between them – are geared to bring automation to big data workflows, which is the one need we most often hear from customers.”
“It is a daunting task to migrate and optimize your data to the cloud as part of a digital transformation journey and yet we see a growing demand from our customers to do so from energy to financial services, manufacturing, government and retail,” said Matt O’Donnell, President of Cloud Services at Redapt Attunix. “The impetus of demand and complexity has set us on the path to partner with Unravel to offer our customers the sophisticated tools, support, vision and platform expertise they need to migrate with confidence, and from there monitor, manage and improve their data pipelines to achieve more reliable performance in the applications that power their business. Unravel’s compatibility and collaboration with leading platforms is a significant advantage to our customers who seek this synergy to deliver value to their customers.”
Unravel’s ecosystem partners benefit from enablement, go-to-market and post-sales support. Exclusive technical and best-practices and sales and product training are made available to the partners. Partners can take advantage of opportunities that can help build their business through joint marketing activities, co-marketing collateral and registered partner lead and deal registration. Through the program, partners have access to tools and APIs for customer account management, workflow integration, global dedicated technical support, and recognition as an official partner in the Unravel community.
Mark Wolfram, an accomplished technology executive with more than 20 years of experience in sales, business development, and management, leads the Unravel Partner Program. Wolfram brings a strong background in cloud and data analytics honed at Microsoft and Azuqua (acquired by Okta).
“Unravel Data is a unique company that has given more than just lip service about how to address the immense challenges inherent when enterprises look to move data workloads to the cloud. It is actually taking the significant steps necessary to truly partner with businesses during this complex migration process and to ensure continuous availability of modern data applications,” said Mark Wolfram, vice president of business development and partnerships at Unravel Data. “Unravel has developed the industry’s only AI-powered platform for planning, migrating and managing modern data apps in the cloud. I passionately support Unravel’s approach and look forward to sharing my expertise as together we grow the Unravel Partner Program to serve more enterprises around the world.”
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.