Schedule a Demo
Sign up for a free demo meeting to learn how you can quickly deploy a complete, end-to-end, data analytics platform in the cloud or on premise, across all types of data, including structured, semi-structured and unstructured data.
- Learn how to build analytics pipelines using visual tools, SQL and Python code, all in one environment, and operationalize your pipelines to process billions of rows of live data.
- Access all your data wherever it resides using Xcalar's True Data in Place virtualization technology and immediately start developing analytics pipelines -- without moving any data.
- Work with Jupyter Notebook, and open source data science libraries including TensorFlow, Keras, PyTorch, and more.
Xcalar was architected to solve Big Data analytics problems with modern infrastructure technologies including data virtualization, separation of storage and compute, and operational machine learning.