Databricks Delta Shares
Access to Allium data in your own Databricks Environment
Databricks
Delta Sharing
Allium utilizes Databricks Delta Sharing allowing users to access our data in your own Databricks Environment.
Databricks Delta Sharing Overview
Data Freshness
Batch Data
Data freshness on Databricks is typically within 2-3 hours.
Real-time Data
Databricks also supports streaming capabilities. Allowing it to achieve sub-minute latency for real-time data:
End-to-End query latency for ethereum decoded logs on databricks
Blockchains and Schemas Supported
Our Databricks integration currently supports historical batch data.
Batch Data
[Explorer / Datashares] Blockchains (80+)
Getting started with Databricks Delta Share (for recipients)
We strongly recommend that you use a Databricks workspace located in AWS us-east-2 (Ohio). But we are still able to setup Delta Share for any other regions.