Xcalar Applications and Use Cases
Leverage existing technology, skills and open source libraries to analyze and manage your data with simplicity, speed, and scale
Open source machine learning libraries
Leverage TensorFlow, H2O, Scikit-learn and Keras to deploy machine learning workloads at cloud-scale - billions of classifications in seconds.
Modern, open source development tools
Write reusable and manageable business logic with familiar languages like SQL, Python, and Jupyter Notebook.
Extreme performance and scale: for your line-of-business business applications and your data pipeline workloads with 100s of nodes, 1000s of users, and petabytes of data.
Spark and Hadoop
Get 10x more productivity and operational efficiency out of your existing investments in Spark and Hadoop.
Build complex applications, handle huge workloads
Use visual programming, structured programming languages, and SQL to build complex business applications and handle your data transformation workloads including data preparation, data quality, and data governance within this single platform with simplicity, speed and scale with 10x savings in TCO.
Let your lake become your data warehouse
Break free from the limitations of traditional database silos to work directly off your data lake with a virtual data warehouse having the flexibility & scalability of the cloud.
Connect to your existing databases, data warehouses, and Kafka platforms; Perform updates to tables at microbatch speeds while being ACID compliant; High operational performance can be obtained through redo logs, checkpoints and snapshots.