THE CLOUD DATA PLATFORM FOR MODERN DATA LAKES
Organizations that deploy and manage complex computing environments contend with slow performance, lack of data governance, and the headache of maintaining incomplete data security. These are the struggles organizations face today when using generic cloud storage environments or Hadoop-based solutions as their data lakes. The result is significant overhead to manage these systems, the inability to get all the insight from all your data, and the increased possibility of putting your data at risk.
Snowflake’s cloud data platform combines the power of data warehousing, the flexibility of data lakes and the near-infinite resources of the cloud. You can choose to land your data in Snowflake as your central repository and experience the highest level of performance, relational querying, security, and governance. Or, you can land your data in cloud storage from Amazon S3, Azure Data Lake Storage, or Google Cloud Storage and use Snowflake to accelerate data transformations and analytics in your existing data lake.
DATA LAKES
Cloud Data Platform For Modern Data Lakes
The Cloud Data platform combines the power of data warehousing, the flexibility of data lakes and the near-infinite resources of the cloud.
You can choose to land your data in Snowflake as your central repository and experience the highest level of performance, relational querying, security, and governance.
Or, you can land your data in cloud storage from Amazon S3, Azure Data Lake Storage, or Google Cloud Storage and use Snowflake to accelerate data transformations and analytics in your existing data lake.
BUILD A TRUE DATA LAKE WITH A CLOUD DATA PLATFORM
Combine the performance and scalability of Snowflake with your data lake to discover all insights
SUPPORT ALL YOUR DATA
Natively ingest all of your structured and semi-structured data (JSON, Avro, and XML) into Snowflake, or leave that data in your data lake and query it with Snowflake’s robust ANSI SQL.
ACCELERATE DATA LAKE ANALYTICS
Independently scale storage and compute resources automatically or on the fly. No need to configure or size for peak demand months in advance.
USE SCHEMA-ON-READ
Use Snowflake’s schema-less data ingestion to avoid unnecessary delays when loading data from your data lake to Snowflake. Or, use Snowflake’s external tables to access files directly from your data lake.
CAPITALIZE ON NEAR-ZERO OVERHEAD
With Snowflake, avoid the complex architectural changes of configuring, refreshing, and analyzing data within your data lake.
CAPTURE DATA UPDATES, FASTER
Configure Snowflake external tables to automatically refresh as the data in your data lake changes. New data is readily available for analysis without expensive and time-consuming overhead.
SUPPORT ALL YOUR USERS
Take advantage of Snowflake’s instant and infinite scaling of independent workloads for any level of concurrency without impacting performance.
DATA SCIENCE
A Cloud Data Platform For Unified Data Science.
Big data is useless without analysis. The ability to capture, collect and analyze data @ cloud-scale is pivotal to turning enormous volumes of data into actionable insights.
The Data Cloud Platform delivers the performance, concurrency, and simplicity.
Consolidate your data from data warehouses, data marts, and data lakes into a single source of truth that powers multiple types of analytics and data science applications.
AI + ML + DATA CLOUD
Artificial Intelligence & Machine Learning @ Cloud Scale
Traditional data warehouses and big data tools restrict how much data that data scientists and data analysts can store and analyze.
The Data Cloud Platform was built to seamlessly integrate and support the type of scalable applications data scientists rely on.
Our unlimited and affordable data storage and compute resources can rapidly scale to meet the demands of every user and every use case.
Digital Innovation Delivered!
We design, build and deliver technology-based innovations that create significant competitive advantage and revenue growth potential for our clients.