System Requirements#

  • Apache Spark cluster on

    • Azure/AWS Databricks (Preferred)

    • Amazon EMR

    • Cloudera/Hortonworks

    • Azure HDInsight

    • Google Dataproc

    • On-Prem Infrastructure

BDT 3.0 Supported Versions

BDT 3.1 Supported Versions

BDT 3.2 Supported versions

BDT 3.3 Supported versions

BDT 3.4 Supported versions

Spark

3.2.1 (Scala 2.12)

3.3.0 (Scala 2.12)

3.4.1 (Scala 2.12)

3.5.x (Scala 2.12)

3.5.x (Scala 2.12)

Databricks

DBR 10.4 LTS

DBR 11.3 LTS

DBR 12.2 LTS, DBR 13.3 LTS

DBR 14.3 LTS

DBR 14.3 LTS, DBR 15.4 LTS, DBR 16.4 LTS (Scala 2.12)

EMR

emr-6.6.0, emr-6.7.0

emr-6.8.0, emr 6.9.0

emr-6.12.0, emr-6.15.0

emr-7.0.0, emr-7.1.0

emr-7.6.0

BDT 3 Supported Databricks Runtime Versions

BDT 3.0

BDT 3.1

BDT 3.2

BDT 3.3

BDT 3.4

DBR 10.4 LTS

DBR 11.3 LTS

DBR 12.2 LTS

DBR 13.3 LTS

DBR 14.3 LTS

DBR 15.4 LTS

DBR 16.4 LTS (Scala 2.12)

BDT 3 Supported Databricks Default Policies and Access Modes

Unrestricted

Power User Compute

Personal Compute

Shared Compute

Legacy Shared Compute

Single User

N/A

N/A

Shared

N/A

No Isolation Shared

N/A

N/A

N/A

Note: This table only covers the default policies available in Databricks. In general, shared access mode and any policy that forces the user to use shared access mode is not supported by BDT at this time. For more on policies and access modes see the Databricks documentation.

Supported environments