Snowflake features and reviews of 2020
Snowflake data warehouse software helps companies to securely access data, manage data and analytical workloads, and gain valuable insights that drive quicker and better business decisions.
Snowflake data warehouse software is a cloud-based data platform that allows businesses, data engineers, and analysts to unite users, data, and analytical workloads. The software has use cases in media and entertainment, advertising and marketing, healthcare, financial services, retail, education, technology, and the government.
Snowflake data warehouse software has a modern data architecture that supports data analytics workloads at any scale and diverse data types, whether they originate from machine-generated sources or traditional sources. Within a single system, data engineers can load and use SQL to query structured, machine-generated, and semi-structured data, including Avro, JSON, or XML. Businesses and data analysts use this software to analyze data without bottlenecks, gather real-time insight and business intelligence.
Snowflake data warehouse software supports a multi-cloud strategy and adopts a cross-cloud approach. The software is available on Google Cloud Platform, Amazon Web Services, and Azure. With an interchangeable code base, data managers can replicate data and move data to any cloud globally, without re-coding their applications.
Snowflake data warehouse software drives collaboration among data management teams and business ecosystems. Users can share secure and governed data in real-time. This tool allows organizations to build their private data exchange platform, share data, and collaborate with employees, business partners, suppliers.
This software helps data teams stay productive by eliminating the management and administrative demands of big data solutions. Snowflake data management software automates critical processes, including data protection, infrastructure, availability, and optimization.
Snowflake data warehouse software has unique and modern architecture that empowers data analysts to work on multiple data workloads without limitations. With this software, data engineers can work with data in their data lake, and build extensive data pipelines to improve data engineering. This tool has a shared data and multi-cluster architecture and is built to process large quantities of data with high speed and maximum efficiency
Snowflake data warehouse software supports diverse data types, including business and customer data, whether they come from machine-generated or traditional data sources. Without tradeoffs and transformations, or having to fix pipelines due to schema changes, data scientists can natively load, optimize and use ANSI SQL to query structured, machine-generated, and semi-structured data including Avro, JSON or XML.
This software uses micro-partitioning to store data securely and efficiently. Beyond storge, the software enables high-speed query processing by automatically splitting data into micro-partitions and extracting metadata.
Businesses and data analysts use this software to combine data for exploration, experiment, refine, and analyze data without bottlenecks, gather real-time insight and business intelligence from their data lake.
Snowflake data warehouse software simplifies and accelerates data science and engineering workloads by providing native integrations to languages such as Apache Spark, Python, and R.
With the powerful engine and infrastructure, developers and data managers can build and deploy data-driven applications and innovative solutions that cater to changing demands in any region or on any cloud.
Snowflake data warehouse software enables organizations and separate business units to leverage public clouds that suit their needs and drive productivity. This data warehouse platform supports a multi-cloud strategy and adopts a cross-cloud approach. The platform offers asynchronous data replication across regions without an actual impact on the ability to access data or data performance.
The software is available on Google Cloud Platform, Amazon Web Services, and Azure. And with a simple and interchangeable code base, data scientists and developers can replicate and move data to any cloud globally, without re-coding their applications.
The cross-cloud capability offers immense benefits as organizations can securely share data across multiple cloud and regions while adhering to data sharing rules. With this feature, data engineers can migrate data without data portability concerns. Also, data analysts in different business units can analyze data for quick decision making regardless of the data location.
Snowflake’s cross-cloud replication, database failback, and failover feature help organizations secure data and apps, ensure data durability and availability, and achieve business continuity and disaster recovery.
Snowflake data warehouse platform helps data application developers and organizations to share data securely and drive collaboration across their business environment. This software has a multi-cluster and shared data architecture that enables companies to share secure and governed data in real-time.
Users can create a private data exchange system to collaborate and share internal data between employees, departments, branches, operating groups, and subsidiaries. Also, companies can share data externally with business partners, vendors, suppliers, customers, and even regulatory agencies.
This software allows users to share a slice of their data or read-only copies to third parties. Also, the tool makes it easy for the recipient to access the data. Through participation in the Snowflake data marketplace, companies can create new revenue streams by monetizing parts of their data through external data sharing.
Snowflake data warehouse software automates critical data administration and management processes. The software eliminates the demands that come with managing big data solutions and traditional data platforms. Snowflakes offer data solution-as-a-service and run in the cloud; therefore, users do not need to handle any infrastructure.
With this software, companies can focus on harnessing data to drive business performance. Albeit, the software automatically handles vital processes, including optimization, data availability, data replication, and recovery, data security, and protection, infrastructure, and more.
Snowflake data warehouse software helps data engineers and analysts to work on multiple data and analytical workloads without limitations. The software allows organizations to share data and collaborate with critical stakeholders securely. Businesses use this software to analyze data, gain valuable insights, and make data-driven business decisions that will increase profitability.