QDS Components: Supported Versions and Cloud Platforms

Supported Versions

The following table shows the currently supported open source versions of QDS components and the Cloud platforms on which they run.


Any other software available on the cluster is subject to change or removal. In general, if you want to install any required software version, then Qubole strongly recommends to install it on a cluster through the node bootstrap.

QDS Component Currently Supported Versions Supported on (Cloud Platforms)
Airflow 1.10.0, 1.10.2QDS, 1.10.9QDS (beta) AWS, Azure, Oracle OCI, GCP
Cascading All AWS, Azure, Oracle OCI
Hadoop 2 2.6.0 AWS, Azure, Oracle OCI, GCP
Hive 1.2 (deprecated), 2.1.1, 2.3, 3.1.1 (beta) AWS
1.2 (deprecated), 2.1.1, 2.3 Azure, Oracle OCI
2.1.1, 2.3 GCP
  • Hadoop 2 and Spark support Java 1.7 as the default version, but 1.8 can be enabled through the node bootstrap.
AWS, Azure, Oracle OCI
  • Presto supports only 1.8
AWS, Azure
  • GCP supports only 1.8
MapReduce 0.20.1 AWS
2.6.0 AWS, Azure, Oracle OCI, GCP
Pig 0.11, 0.15, 0.17 (beta) AWS
0.11 Azure, Oracle OCI
Presto 0.193 (deprecated), 0.208, and 317 AWS
0.193 (deprecated), 0.208, and 317 Azure
0.208, 317 GCP

2.6, 2.7, and 3.5

Airflow supports only 2.7 and later


See Can I use Python 2.7 for Hadoop tasks? for more information

2.7 and 3.5 Azure, Oracle OCI
3.6.x and 3.7 GCP
R 3.3.3 AWS, Oracle OCI
3.3.2 Azure
3.5.2 GCP
RubiX 0.2.11 AWS, Azure
Scala 2.10 for Spark versions older than 2.0.0 AWS
2.11 for Spark 2.0.0 and later AWS, Azure, Oracle OCI, GCP
Spark (See also Spark Version Support) 1.6.2, 2.0.2, 2.1.1, 2.2.0, 2.2.1, 2.3.1, 2.4.0, 2.4.3 AWS
2.0 (deprecated), 2.1.0 (deprecated), 2.1 (deprecated), 2.2.1, 2.3.2, 2.4.3 Azure, Oracle OCI
2.3.2, 2.4, 2.4.3 GCP
Sqoop 1.4.7 AWS
1.4.6 AWS, Azure, Oracle OCI
Tez 0.7, 0.8.4, 0.9.1 AWS
0.7, 0.8.4 Azure, Oracle OCI
0.8.4 GCP
Zeppelin (notebooks) 0.6.2, 0.8.0 AWS, Azure, Oracle OCI, GCP
JupyterLab (notebooks) 1.2.3 (beta) AWS, Azure, GCP

Query Engine Version Lifecycle Phases

A query engine’s version lifecycle phases are briefly explained in this following table.

  Beta Supported Deprecated Expired
Production use No Production SLAs Available Available but not recommended Not available; should upgrade
Incident Support Available Available Available Not available; should upgrade
Security Updates Available Available Not available; should upgrade Not available; should upgrade
Bug fixes Available Available Not available; should upgrade Not available; should upgrade
Feature requests Will be considered Will be considered Not available; should upgrade Not available; should upgrade
Visibility Visible in UI Visible in UI Visible in UI Not listed in UI; cannot start new clusters with expired versions of software
Upgrade Customer initiated Customer initiated Customer initiated Qubole will initiate automatic upgrade upon restart

For more information on the deprecated and end-of-life timelines of engine versions, see Deprecated Versions.

Deprecated Versions

The following table shows deprecated versions and corresponding timelines.

Engines on QDS Engine Versions Deprecation Timeline Expiry Timeline
Airflow 1.7 May 2019 October 2019
1.8.2 October 2019 ETA: R60
Hadoop 1 October 2018 April 2019
2.8 May 2019 November 2019
Hive 0.13 Not supported for new customers. For legacy customers, support ended in February 2019. February 2019
1.2 May 2020 ETA: R60
Presto 0.180 October 2019 May 2020
0.193 February 2020 ETA: R60
Spark 1.3.1, 1.4.0, 1.4.1, 1.5.0 2017 ETA: R60
1.5.1, 1.6.0, 1.6.1, 2.0.0, 2.1.0 November 2018 ETA: R60

Spark Version Support

QDS supports two major versions of Spark, 1.x and 2.x. As of April 2017, Qubole began phasing out support for older versions. Those versions are marked deprecated in the drop-down list of available versions on the Clusters page of the QDS UI. You can still launch clusters running a version marked deprecated, but:

  • No new features or bug fixes will be applied to this version.
  • The version will no longer be eligible for Qubole Customer Support; tickets will not be addressed.


In the Spark Version drop-down list on the Clusters page of the QDS UI, latest means the latest open-source maintenance version. If you choose latest, Qubole Spark is automatically upgraded when a new maintenance version is released. For example, if 2.x latest currently points to Spark 2.x.y, then when 2.x.(y+1) is released, QDS clusters running 2.x latest automatically start using 2.x.(y+1) when the cluster is restarted.