Rocana’s mission is to help technology leaders be the catalyst for digital transformation within their companies. Competition for customers is fierce in today’s digital world, and our objective is to arm technologists with total visibility and the power to outperform the competition. Our innovative operations software eliminates the boundaries of legacy IT monitoring tools, challenging all assumptions about the scale and economics of total visibility. Learn how Rocana powers digital transformation »
Rocana was founded by Big Data veterans from Cloudera, Vertica, and Experian, who have experienced the challenges of driving transformation and managing large, enterprise infrastructure first hand. We set out to address those challenges using modern technology that leverages the Big Data ecosystem for unmatched scalability and openness. Read more: Rocana’s veteran leadership and investors »
Open is a central theme at Rocana. We’re experts from the big data community, our software is built on open source, and we share a fundamental belief that data should be open and accessible. From the moment data is captured, we give you the flexibility to do what you want – transform, connect, and analyze – in order to extract maximum business value. Legacy tools with closed formats place artificial limits around what customers can do with their data, stifling visibility. We use the power of open to set it free. See our latest commitment to open standards, the Osso Project »
- Rocana has built a platform that can handle very large volumes of operations data, a capability that sets it apart from competitors and should appeal to large enterprises… In delivering automation capabilities relatively early compared with rivals, Rocana can lead the way in demonstrating how automation can improve performance for businesses.
- Today’s CIOs and IT leaders are increasingly responsible for driving business outcomes in a world of ever increasing data volumes and data sources. Rocana was selected for the Ventana Research Technology Innovation Award for its innovative approach to achieve total visibility across IT and business data, using big data and advanced analytics to help IT teams identify anomalies, improve customer experience, and increase security and compliance.
- Companies that adopt modern infrastructures are learning that their IT operations generate huge amounts of potentially valuable data. But many traditional IT tools aren’t able to effectively scale so that businesses can efficiently retain and analyze that information. The result is a missed opportunity for enterprises to glean important business and IT insight from their operational data.
- Wikibon research shows that IT organizations routinely fall into the trap of relying on automation tied to specific products, each in control of its own data, which can severely limit operational visibility. It's time for companies to adopt approaches that increase business opportunities by applying operational data across platforms to multiple classes of hard problems.
- Operational visibility is a tricky business. Having that level of data oversight really can make a difference in how IT can contribute to the top line. Contributing to the business – rather than just supporting the business – should be the goal of IT in terms of relevance in today's environment.
- With rising complexity you need to make sense of data - operational analytics is the key.
- IT analytics lets you manage this complexity by turning Big Data inward.
- As scale and complexity increase with companies moving to the cloud, to microservice architectures, and to transient containers, monitoring needs to go back to school for its Ph.D. to cope with this new generation of IT.
- An application that makes it easier to keep data centers up and running could become the 'killer app' for Hadoop because as companies become more dependent on large-scale customer-facing apps, it’s critical that they be reliable and scale predictably.
- The operational data explosion has sparked a sudden and significant increase in demand for IT operations analytics (ITOA) systems.