sflakexcalar

Cloud-Scale Analytics + Data Warehousing

Xcalar's integration with Snowflake gives your data scientists and data analysts the most powerful platform for seamless, cloud-scale transformation, analytics and ML

Data-transformations

POWERFUL TRANSFORMATION

Using industry standard ANSI SQL, Python, Visual design, your data analysts and scientists can build and perform massively scalable analytics data flows.

import-ml-models

BUILD + DEPLOY ML at SCALE

Build, test, train and deploy ML models on petabytes of data.

Reliability and Fault Tolerance

SEAMLESS SCALING

Deployed in the cloud, Xcalar seamlessly scales up/down and scale-out depending on your analytics needs - so you get and only pay for the compute power you need.

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END-TO-END INTEGRATION

With Xcalar and Snowflake input and output integrations, your team can bring Snowflake data into Xcalar for complex data analytics and ML and push it back out to Snowflake for data analysts and BI dashboards.

ecosystem

With Xcalar and Snowflake, you finally have a true cloud-scale end-to-end analytics environment

1
Data engineers can access data throughout the greater data ecosystem,

2
Data scientists can feature transform, engineer the data and then apply this featured data to ML models at scale,

3
Data analysts can query the results from Snowflake

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Read how Tapclicks operationalized ML with Xcalar and Snowflake

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Interested in building an end-to-end analytics platform with Xcalar and Snowflake?