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Cohesity Simplifies Data Management and Security for Developers

Simplified data management and security for developers with a converged, AI-powered platform streamlines workflows and unlocks insights.



Managing and securing growing volumes of data across multiple environments can be a complex and time-consuming task for developers, engineers, or architects. Cohesity, a leading data management company, recently presented at the 54th IT Press Tour, highlighting how its platform simplifies data protection, management, and recovery, making life easier for technical professionals.


The Challenge of Fragmented Data Management

Cohesity's CEO Sanjay Poonen emphasized the challenges customers face due to the lack of a unified platform for data security and management. With data spread across multiple segments like data protection, security, mobility, access, and insights, organizations struggle with complexity, security risks, inefficiencies, and closed systems. Cohesity aims to address this $30B+ market opportunity by providing a converged solution.


Hyperconverged Architecture: The Foundation of Simplicity

At the core of Cohesity's offering is its scale-out, hyperconverged architecture designed to handle modern workloads and large-scale data management. Mohit Aron, Cohesity's founder, is credited as the father of hyperconverged infrastructure (HCI), pioneering the concept at Nutanix. This architecture allows Cohesity to deliver impressive performance, with 10x faster data recovery speeds, reducing recovery time to less than 5 minutes.


Benefits for Developers and Engineers

For developers and engineers, Cohesity's platform provides a range of benefits:

  1. Simplified data protection: Cohesity consolidates backup, recovery, and data management into a single platform, eliminating the need for multiple-point solutions. This simplifies data protection workflows, reduces costs, and improves efficiency.

  2. Multi-cloud flexibility: With support for various public, private, and hybrid cloud environments, Cohesity enables developers to implement multi-cloud strategies seamlessly. This flexibility allows organizations to leverage the benefits of cloud computing while maintaining consistent data protection and management across environments.

  3. Policy-based automation: Cohesity's platform offers policy-based automation for data protection and management tasks. Developers and engineers can automate routine operations, reduce human errors, and streamline workflows, saving time and effort.

  4. Advanced data management: The platform provides features like global deduplication, compression, and data reduction. These capabilities optimize storage utilization, improve data accessibility, and lower overall costs.

  5. API-driven integration: Cohesity offers RESTful APIs and integrations with popular management and automation tools. This allows developers to integrate Cohesity's functionality into their existing tools and workflows, enhancing automation and customization capabilities.


Unlocking the Power of AI and Machine Learning

Cohesity is uniquely positioned to unlock the power of AI and machine learning for data management. With its distributed architecture and ability to bring compute to the data, Cohesity enables developers and data scientists to run advanced analytics and AI workloads directly on the platform. This eliminates the need for separate infrastructure and data movement, simplifying AI initiatives.


Cohesity Gaia: Conversational AI for Data Management

One of the critical innovations announced at the event was Cohesity Gaia, an AI-powered conversational search assistant. Gaia leverages retrieval augmented generation (RAG) to enable natural language interactions with data. Developers can use Gaia to improve decision-making speed and accuracy by accessing insights from high-quality data. Gaia's secure and performant RAG AI engine streamlines compliance and risk management by allowing responsible and safe access to enterprise data over time.


Greg Statton, from Cohesity's Office of the CTO, emphasized the value Gaia brings to developers: "We help customers bring their data to AI/ML applications. The models are a commodity. The value is the customer data."


Merger With Veritas: Strengthening Market Position

Cohesity's merger with Veritas, a leading enterprise data protection company, further strengthens its position in the market. With the acquisition of Veritas' data protection business, Cohesity will have a combined customer base of over 10,000 organizations, including 96% of the Fortune 100. This scale assures developers and engineers of working with a platform trusted by the world's largest enterprises.


For developers concerned about the merger's impact, Cohesity's CEO gave a clear message: "No customer will be left behind." The company is committed to supporting and advancing the roadmaps of Cohesity and Veritas products, providing a smooth transition for customers. This commitment also extends to partners, with Cohesity pledging to support all partners dedicated to the combined company's growth.


Eric Brown, Cohesity's CFO, highlighted the financial strength of the combined entity: "We're going to have growth, growth at scale. So, a combination of revenue growth and profitability. There's this convention on Wall Street. They look for 'Rule of 40' companies. If you add up your revenue growth rate and profit margin, you're better if it equals forty. We will be a 'Rule of 40' company."


Conclusion

In conclusion, Cohesity's platform offers developers, engineers, and architects a simplified and robust data management and security solution. With its converged architecture, multi-cloud support, policy-based automation, and API-driven integration, Cohesity streamlines data protection and management workflows. Adding AI capabilities through Cohesity Gaia and the merger with Veritas further enhances the platform's value proposition. As data grows and becomes more distributed, Cohesity empowers technical professionals to focus on innovation while ensuring their data remains secure, accessible, and insightful.


As Sanjay Poonen summarized, "We want all that data to be able to go easy platform, just like Oracle wanted all that data to be on the Oracle database one day, and we've had reasonable success. But together, part of the reason we did this Veritas deal is with Veritas. We now have hundreds of exabytes of data that will be on our platform, which provides a huge opportunity to manage secure and insight more, where we will be 100x bigger than almost all our competitors in size of data."

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