Not too many companies actually come out and say something like this, but Delphix, which originated the DataOps school of new-gen data management, has declared completed the original mission it undertook a decade ago when it launched its first product. That mission was to provide a full-service data platform to accelerate digital and customer-experience transformation for global enterprises.
Sounds simple, but rest assured it is not; DataOps is a bit complicated. Matt Aslett, Research Vice President of Data, AI and Analytics at 451 Research, defines DataOps this way: “The alignment of people, process, and technology to enable more agile and automated approaches to enterprise data management in service of business goals. It aims to provide easier access to enterprise data to meet the demands of various stakeholders who are part of the data supply chain (developers, data scientists, business analysts, DevOps professionals, etc.) in support of a broad range of use cases.”
Here’s why Delphix is claiming its 10-year accomplishment: With physical lockdowns rolling across the world, companies have accelerated the shift from physical to digital business models and operations. Enterprises need to adapt quickly to these changing market conditions or risk being disrupted by more agile competitors. And DataOps is nothing if not a quick method to help enterprises do this.
“With our latest platform release, we’ve completed our original mission,” Jedidiah Yueh, Delphix founder and CEO (pictured), said. “In order to drive digital or customer experience transformations, companies need to harness data across a multi-generational range of systems, from ERP implementations to apps running on the mainframe. Our platform collects data across these systems to fuel cloud, AI, and other digital transformation programs—cutting time and cost by more than 20%.”
One mission all along: To help companies do more with their data
eWEEK was the first publication to announce the founding of Delphix in 2008, during the last financial crisis. Since then, the publication has followed it closely as it has grown to more than 500 employees and to large new quarters in Redwood City, Calif. All along, its mission has been to simply to help companies do more with their data.
The Delphix DataOps Platform started with virtualizating Oracle databases and applications so that database administrators could patch and repair them without having to shut down the entire system. Early customers quickly loaded ERP systems like SAP and Oracle EBS onto the platform, and those, too, achieved impressive results.
After Oracle databases and applications, Delphix added support for Microsoft SQL Server, IBM DB2, SAP ASE, SAP HANA, and other major applications and database platforms.
“Customers need a comprehensive data platform to help drive transformations,” Yueh said. “Otherwise, it’s like trying to fly a plane without sufficient instrumentation. With our most recent platform release, we have completed everything on our initial roadmap.”
What the DataOps package now includes
In 2019, Delphix made its data platform SDKs available to ISVs. Since launching its SDKs and the DataOps marketplace, Delphix data coverage has expanded to include:
- legacy platforms: i.e. mainframe, Informix;
- new data platforms: MongoDB, CouchDB;
- cloud platforms: Aurora, RedShift, Azure SQL;
- workflow, monitoring platforms: ServiceNow, Splunk;
- automation platforms: Ansible, Terraform, Jenkins, Chef.
In addition, during the last decade, the Delphix platform has achieved a series of significant scale milestones, while supporting many of the world’s largest companies on their transformation programs:
- more than 100,000 development, testing, and analytics environments;
- more than 30,000 customer applications released annually;
- more than 2 million automated data operations;
- more than 2 exabytes of customer data across private and public clouds.
The Delphix DataOps Platform provides critical features that instrument data across the application lifecycle, including:
- virtualization, which radically shrinks data footprint;
- time machine to travel to any point in time;
- version control, which lets developers and data scientists manage data like code;
- compliance, which includes profiling, templates, and automated data masking;
- integration to enable fast data synchronization across systems;
- replication to move data across private and public clouds;
- automation to integrate with DevOps and CI/CD tools.
Company's foundation firmly in place
It took Delphix a decade to achieve its original mission, which laid the foundation for enterprise-wide data coverage. During that period, Delphix also built a profitable business with more than $100 million in annual recurring revenue. Now the company is looking to the future.
“With the foundation in place, the next 10-year horizon is focused on unlocking the full value of the data in our platform,” said Yueh. “Cloud, AI, and the regulatory horizon are forming the perfect storm. Our native data operations, APIs, and SDKs make it increasingly easy for customers and ISVs to weave data across their business processes, compliance, and transformation programs. And we’ll continue to invest in building out that ecosystem.
“In the end, we believe that every company is a data company if it wants to survive. And if companies want to master data operations, they’ll need a purpose-built platform to manage data across the ongoing transformation lifecycle.”
One longtime Delphix user offered his take on the company.
“We use Delphix to synchronize and extract student data from on-prem to AWS for the CSU Chancellor’s Office,” said Rudy Gonzales, Unisys Program Director at California State University. “Now that we have a super-fast data bridge to the cloud, we’re able to harness AI technologies to drive better student outcomes.
"I’m excited to see where Delphix takes its data platform next.”