Cloud Data Platform

Cloud Data Platforms are the modern means of data management. They let users store, access, and analyze enterprise data via the cloud.

As data volumes increase, enterprises find it difficult to store and manage their data securely using the traditional on-premise data lakes or data warehouses. This is why organizations, big or small, are rapidly moving their data ecosystems to the cloud.

Cloud Data Platforms assist data driven organizations in decision making with their flexibility, reliability, and affordability. Popular cloud data platform names include Amazon Web Services, Google Cloud Platform, Microsoft Azure, and Snowflake Data Marketplace.

How are Cloud Data Platforms different from On-prem storage?

Cloud Data Platforms do more than just storage. They provide scalability, flexibility, security, analytics, and multiple storage options. The distinct features of cloud data platform architecture makes them stand apart from traditional on-premise data lakes:

Elasticity: Cloud platforms provide the elasticity to accommodate the changing size and complexity of data by scaling up and down.

Flexibility: Cloud platforms help users in meeting their business goals timely by handling concurrent tasks simultaneously. Cloud data platforms can run multiple queries at once, assist in data processing, support interactive analytics, help in running applications, all at the same time.

Security: With multi-server backup, firewalls, multi-factor authentication, and private in-organization access, cloud data platforms provide greater security for enterprise data than traditional on-premise data storages.

Multi-storage Solutions: Cloud data platforms offer multiple solutions for storage like a data warehouse for structured and processed data, while a data lake for raw, unstructured data.

Data Analytics: Cloud data platforms allow the use of machine learning for big data analytics. They also provide integrations to business intelligence tools like Tableau, MicroStrategy, Excel, etc. and support creative visualizations on the data. Data pipelines also make automated analytics possible. Cloud platforms also let you use intensive applications on the cloud.

Costs: Cloud platforms ask users to pay only for what they use. This makes them cost-effective.

These are the benefits that users gain with cloud data platforms over and above traditional storages.