KX for Databricks

Accelerating time-series workloads on Databricks

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Bringing ultra-real-time analytics to Databricks’ Lakehouse platform

Move faster than your competitors by setting a new standard in quantitative research, data modeling, and trading analysis. Our collaboration with Databricks combines our expertise in handling time-series data with their comprehensive compute and machine learning frameworks.

High performance processing

Enable time-series analytics within existing Databricks pipelines with no external dependencies or q expertise.

Accelerate time-to-market

Manage and analyze temporal data to improve modeling or trading strategies.

Seamless analysis

Seamlessly run Python and Spark workloads on datasets natively stored in Delta Lake for unparalleled data analysis and insights.

Simplified data management

Support for multiple data formats and comprehensive governance, make it easier to manage and analyze large datasets.​

Why KX for Databricks?

Ingest large volumes of data at speed Icon

Optimize query speed

Highly performant engine enables faster processing of data ingestion and queries for real-time insights.

Enhance quant research

Deliver the sophisticated analytical tools necessary for advanced quant research and data analysis capabilities.

Handle high-volume streaming

Stream large volumes of data from multiple digital channels to enhance real-time analysis and actionable insights.

Want to learn more?

For more information about our partnership with Databricks, reach out to our sales team.

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Start your journey to becoming an AI-first Enterprise with a personal demo.

Our team can help you to:

  • Interact in real-time
  • Personalize your exploration
  • Guide your implementation
  • Clarify concerns/questions
  • Understand real-world scenarios

Book a demo with an expert









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    A verified G2 leader for time-series