SaaS Data Analytics and the Enterprise Cloud Acceleration
Author: Jon Bock
When we launched Snowflake back in 2014, I remember how exciting it was to see signs that we were coming into the market at the right time. For example, a 2014 study by Northbridge Partners and technology research company Gigaom confirmed that cloud and SaaS was rapidly becoming strategically important for not only IT but also for the entire enterprise. The study indicated that SaaS adoption among enterprises had grown 500% — from 11% to 74% in the preceding four years. Very much related, PaaS adoption increased six-fold to 41% of the 72 organizations surveyed while IaaS was being utilized by 56% of the companies.
The history of public cloud goes back at least a decade, but what the study showed, backed up by our own experiences, was that cloud adoption had reached a tipping point, rapidly turning from a place for experimentation and side projects to a viable choice for projects increasingly core to the business, including mission-critical SaaS data analytics projects.
At the same time, in 2014 data analytics and “big data” were also on a rapid rise in strategic importance. The synergies between these two trends were becoming increasingly clear. For example, the same study found that the greater the rate of cloud adoption within the organization, the greater the volume of data that needed to be managed, with personal, cloud-carried data alone forecasted to grow from 1.7 exabytes in 2012 to 20 exabytes by 2017 – by over 1000%.
Fast forward to today, and the trends are only accelerating. The most recent 2015 Northbridge Future of Cloud Computing survey (done in partnership with research firm Wikibon) reveals an even faster rate of cloud adoption and data proliferation. In fact, Northbridge calls it the “Era of Cloud Practicality” in which businesses are no longer debating whether to be in the cloud, but how pervasively they will use it.
For a more fine-tuned deep dive into cloud business rationale and what companies who are already well immersed in the cloud are doing, Bessemer Venture Partner’s 2015 “The State of the Cloud” report, based on interview with 100 top cloud CEO’s, provides interesting insight and a future view to where cloud is going. Most significant in the BVP cloud report is that SaaS now makes up 30% of public company application spend (as opposed to spend on on-premises applications), with that figure growing at a 17.6% CAGR. In contrast, on-prem applications are falling at a 2.8% CAGR. It’s clearly not just experimental usage–tier one or “entry” SaaS applications such as CRM are now past the 50% mark in terms of applications used. What’s more, an astounding 28 private cloud providers are now unicorns – companies exceeding $1 billion in revenue. Clearly SaaS is no longer for just non-core functions.
And there are other positive cloud growth indicators, at this year’s RSA Conference on security, program content and the discussions by CISOs and CEOs alike focused not on “what-ifs” but on “how to” best secure cloud operations as today’s reality. In fact, today’s security solutions themselves are moving to the cloud, based on the fact that the enterprise security function needs to “Connect to Protect” – to be as flexible, scalable and agile as the rest of the organization’s cloud-enabled IT infrastructure.
Enter Snowflake. With 75% of corporate data living in public or private clouds, it simply no longer makes sense for enterprises to try to build and manage the infrastructure needed to turn that data into insights. And yet the new requirements for making use of data—diverse data support, on-demand elasticity, fast results at scale—mean that traditional database technology simply deployed in the cloud isn’t the answer. That was what led us to build a completely new solution, one designed for SaaS data analytics that addresses these key shifts in the market.
While Snowflake has many more milestones ahead of us, the interest and adoption we’ve seen since launching our product make it clear that we’ve built a needed product at a particularly opportune time–-when market demand for cloud solutions is growing exponentially but adoption of the cloud for core data analytics is just gaining steam. That means that there will be lots of disruption and innovation to come. We’re looking forward to it.