![]() In today's business reality where most organizations are managing far greater quantities of data and need a more robust solution to do so effectively, a data warehouse is much better than a database. While PostgreSQL is what can be described as a traditional Database (and often referenced as the top of its class), Google BigQuery is a Cloud Data Warehouse - the new standard for data management and the hub of the Modern Data Stack.įind everything you need to know about how to extract, store, model, and activate data in our Ultimate Guide to the Modern Data Stack → Database vs. BigQuery is a powerful Big Data analytics platform used by all types of organizations, from startups to Fortune 500 companies." Is PostgreSQL a data warehouse?Īn important thing to note is that PostgreSQL and Google BigQuery are actually not in the same product category. There is no infrastructure to manage and you don't need a database administrator, so you can focus on analyzing data to find meaningful insights using familiar SQL. BigQuery has a 4.5 star rating on G2, where it's described as follows: "BigQuery is Google's fully managed, petabyte scale, low cost enterprise data warehouse for analytics. It also provides the option to stream data in regularly, or bulk load your data using Google Cloud Storage. It can run incredibly fast queries against terabytes of data in a matter of seconds thanks to its powerful infrastructure. What is Google BigQuery?Īccording to Google BigQuery's product page, it's a "Serverless, highly scalable, and cost-effective multicloud data warehouse designed for business agility."īased on user reviews, Google BigQuery is a good option to analyze massive amounts of data, quickly. Its ability to support an extended subset of the SQL standard like transactions, foreign keys, subqueries, triggers, user-defined types and functions makes it a long-standing favourite among data specialists. Users say PostgreSQL is a technical database management platform that's effective in querying datasets below 1TB. We dive into performance, ease of use, scalability, cost efficiency, and some real-world examples.Īccording to PostgreSQL's website, "PostgreSQL is a powerful, open source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance." ![]() ![]() Keep reading to learn the main reasons why choosing BigQuery over PostgreSQL as the main data warehouse for your business is the best option. ![]() Next generation cloud data warehousing technologies like Google BigQuery, Snowflake and Firebolt are gaining popularity not only because of the increasing need for on-demand data analysis, but also the ever-growing amounts of data being collected, generated and stored. This is the main reason why more and more companies are shifting towards modern cloud data warehouses like Google BigQuery over traditional static solutions like PostgreSQL. To achieve these ambitious data goals, much more on-demand computing power, performance, and cost-efficient storage that scales with your business is needed. New technologies like Machine Learning, AI, Internet of Things (IoT), on-demand advanced analytics and robotics are on the rise, and data plays an integral role in enabling these technologies. Being data-driven has become a common strategy for companies seeking to gain a competitive advantage in the last years - and for good reasons.
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