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SonarX Instant Data Shares drop your on-chain datasets directly into the tools you already use on AWS. In Snowflake and Databricks, our shares look and behave like native databases—so your teams can plug in official connectors, SDKs, and BI tools with zero pipeline work and start delivering value immediately.

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What you get

  • Warehouse-native access
    • Snowflake Secure Data Sharing (read-only, no copy) for instant SQL, joins, and governance.
    • Databricks Lakehouse access via SQL Warehouses/Unity Catalog for Delta/Iceberg tables.
  • Out-of-the-box connectivity
    • Build with: JDBC/ODBC, Python, Node.js, Go, .NET, REST/SQL APIs.
    • Connect from: Kafka/Snowpipe Streaming, Spark connectors.
    • Orchestrate: Airflow, Terraform, dbt.
    • Visualize: Power BI, Tableau, Amazon QuickSight.
  • AWS-aligned patterns
    • Clean paths into Athena, Glue, Kinesis/Firehose, S3 with SQS/SNS events, plus common interop with EMR/Redshift via S3.
  • No custom ETL required
    • Uniform, cross-chain schema; governed access; reproducible analytics and real-time ops on day one.

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Typical workflows

  • Point your BI (Power BI/Tableau/QuickSight) at SonarX shares and publish dashboards.
  • Use dbt/Airflow to transform/join SonarX tables with internal data—no staging jobs.
  • Stream events with Kafka/Kinesis → Snowflake/Databricks for live telemetry layered on historical truth.

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Get started

  1. Choose Snowflake or Databricks share.
  2. Connect your preferred driver/SDK or BI tool.
  3. (Optional) Wire orchestration/streaming for continuous updates.

Snowflake

Snowflake offers a universe of Out-Of-The-Box tools to access data

Databricks

Navigate the many integration capabilities made available by Databricks

Amazon Public Blockchain Dataset

Quick map of AWS services → Snowflake / Databricks