A decade ago, Marc Andreessen famously said in an article in the Wall Street Journal that Software is eating the world. Today we know that if software is the engine then data is the fuel. Today, data is feeding the world. The world is generating more data than ever before. But how do we make sense of this data? Traditional data warehouses were not designed to handle the explosive growth in data.
Teradata has been a leader in Data Warehousing technology for the past 20-30 years and has a huge installed customer base - Apple, Walmart, eBay, AT&T, Verizon, Citi, Bank of America, Coca-Cola, and Ford to name just a few. Today, the exponentially increased variety, volume, and velocity of data calls for a data warehouse solution that is more agile, global, and cost-effective. Those who have previously relied on Teradata’s solutions are faced with a question: continue to make investments in rigid, on-premises solutions, or face the one-time cost of migrating to an agile, cloud-based enterprise data warehouse (EDW) solution.
We are seeing that today clients are broadly looking at three possible options of upgrading from the on-premise Teradata implementation:
Option 1: Migrating to Teradata Vantage over a public cloud platform e.g. Google Cloud Platform (GCP)
Option 2: Use Cloud Native PaaS e.g. Google BigQuery
Option 3: Use 3rd party PaaS such as Snowflake, Cloudera, Databrick etc. deployed over a public cloud platform.
Of these three options, the Cloud Native PaaS provide the best value-for-money. A 2019 study1 conducted by ESG (Enterprise Strategy Group) shows that organizations can save up to 52% by using BigQuery over an on-premises EDW and up to 41% over an EDW deployed in the cloud. BigQuery is Google Cloud’s highly scalable, enterprise data warehouse solution. It is fully managed and serverless, offers real-time insights from streaming data, has built in ML ‘out of the box’ and has a high-speed in memory BI engine for faster reporting and analysis. BigQuery is designed to make data analysts and data scientists more productive and it is a secure offering that has data encryption by default, both in transit and at rest, which ensures customer data is protected.
The value proposition of BigQuery is based on 5 pillars: