It supports most SQL commands, including DDL and DML. For instance, micro-partitioning accommodates structured, semi-structured and unstructured data, and the platform delivers an extensive set of connectors and drivers, including Spark, Python. It delivers a multi-cluster approach to auto-scale based on demand.īecause Snowflake has a built-in separation layer between storage and compute, it’s extremely fast and flexible. Snowflake: The platform offers a hybrid system that combines traits from traditional shared-disk and shared-noting architectures. This greatly minimizes the risk of service interruptions and downtime. One of the big advantages to BigQuery is its auto-replication across global data centers. It supports almost all major data ingestion methods, including Avro, CSV, JSON and Parquet/ORC. This massively parallel environment relies on thousands of CPUs to read data from storage. These tables are durable, persistent, optimized and compressed for power and speed. Google handles all resource provisioning behind the scenes and supports clustering on both partitioned and non-partitioned tables. Snowflake: Architecture ComparisonīigQuery: The platform relies on a serverless multi-cluster framework that keeps compute and storage layers separate. It is ideal for modern integrated data applications, and it has strategic alliances and partnerships with Salesforce, Alation, Cognizant, Collibra, Dataiku, Informatica, Qlik, Talend and many others.Īlso see: Top Data Mining Tools BigQuery vs. Snowflake also delivers strong collaboration and data sharing features. Organizations can run the platform on AWS, Azure and Google Cloud-or any combination. Snowflake delivers ultra-high resiliency, and it delivers an architecture that supports modern standards, including security and data governance. The multi-cloud shared data architecture handles a vast array of workloads and tasks that revolve around data engineering, data warehousing, data lakes, data science and more. The platform, which is delivered as a service, can automatically scale up and down without any impact on performance. Snowflake: What makes Snowflake appealing is its focus on flexibility and scalability for huge quantities of data. The platform supports predictive modeling and machine learning, multicloud data analysis, interactive data analysis and geospatial analysis, along with numerous other data capabilities. BigQuery is a multicloud analytics solution that can accommodate a data warehouse ranging from only a few bytes to petabytes. This serverless multi-cloud environment is designed to “democratize insights with a secure and scalable platform with built-in machine learning,” according to Google. It delivers a fast, highly flexible and scalable data warehousing solution that deftly handles both structured and unstructured data. Snowflake: Feature ComparisonīigQuery: Google’s reputation for providing powerful data frameworks and tools extends to BigQuery. This article offers an in-depth comparison of these two leading data warehouse platforms: how they match up, along with some of their key differences.Īlso see: Best Data Analytics Tools BigQuery vs. There are crucial differences between Google BigQuery and Snowflake. They typically support a variety of functions, including artificial intelligence, data mining, data analytics, machine learning and decision support functions.ĭata warehouses are fast, flexible and powerful – particularly as organizations look to expand digital transformation and incorporate robotics, IoT, deep integration and API support and other functions. These repositories – now cloud-based – help organizations pull together and consolidate data from disparate sources. Both offer a wealth of data analytics features, capabilities and tools designed to take enterprise data services to a higher level.ĭata warehouses have served as valuable tools for organizations for more than three decades. Google BigQuery and Snowflake are both leading data platforms. We may make money when you click on links to our partners. EWEEK content and product recommendations are editorially independent.
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