Ecosyste.ms: Docker
An open API service providing dependency metadata for docker images.
Package Usage : maven : org.apache.hive:hive-jdbc
Explore the latest package usage data for org.apache.hive:hive-jdbc in the maven ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 1,447
Total downloads: 386,834,831
More details on packages.ecosyste.ms - JSON
iomete/tpcds_iceberg_generator 0.3.0
- version: 2.3.9
bde2020/spark-scala-template 3.1.1-hadoop3.2-java11
Template to build Scala applications to run on top of a Spark cluster
- version: 2.3.7
timveil/docker-hadoop-hive-base 3.1.x-fork
Base Docker image for Apache Hive components
- version: 3.1.2
altinityinfra/integration-tests-runner 332-0e809b06a907d42c978b175e1e420f4a46d9ee7e
- version: 2.3.9
gesiscss/binder-serhatcevikel-2dbdm-5f2019-e7b363 1239175be24a02ff0e1bcd30f865011dc1fca7d4
- version: 2.3.6
cyb3rward0g/jupyter-pyspark 0.0.6
- version: 2.3.7
gesiscss/binder-hunters-2dforge-2dthreathunter-2dplaybook-988b6e 1aff0cd814e7ba156962d7945a61a4947371f526
- version: 2.3.7
parrotstream/impala 3.0.0-cdh6.0.0
Docker image with Apache Impala
- version: 2.1.1-cdh6.0.0
vdesabou/hive 3.1.2-postgresql-metastore
- version: 3.1.2
rubigdata/course new
Containers for the Assignments
- version: 2.3.7
chupsamir/trips apigw
- version: 0.13.1-cdh5.3.0
parrotstream/impala-kudu latest
Docker image with Apache Impala with Kudu support (no HDFS needed)
- version: 1.1.0-cdh5.15.1
timveil/docker-hadoop-hive-hs2 3.1.x
Docker image for Apache Hive Hive Server 2
- version: 3.1.2
cloudcheflabs/spark-py v3.4.0
- version: 2.3.9
timveil/docker-hadoop-hive-metastore latest
Docker image for Apache Hive Metastore
- version: 3.1.2
iomete/spark 3.5-latest
iomete public spark images bundled with necessary libraries and optimizations
- version: 2.3.9
vdesabou/kudu-impala-with-ldap latest
- version: 1.1.0-cdh5.15.1
ferlabcrsj/spark-operator 3.0.0_1
- version: 2.3.7
amcop/cdap-standalone latest
- version: 1.2.1
fjardim/hive latest
- version: 2.3.2
fjardim/namenode_sqoop latest
- version: 2.3.2
iomete/hive-spark 3.2.v30
- version: 2.3.9
hpccbuilds/smoketest-platform-build-vcpkg candidate-8.12.x-164df4f5d1cd71ca32be2fb79a2c36cde9fa9308
- version: 2.3.9
hpccbuilds/smoketest-platform-build candidate-8.6.x-92441bb645458e6a2fff7b3d7557ad630d843e6e
- version: 2.3.7
fjardim/nifi latest
- version: 1.2.1
intelanalytics/bigdl-k8s 2.5.0-SNAPSHOT-20231221
- version: 2.3.7
dview/airflow 2.5.3-python3.8
- version: 2.3.7
gesiscss/binder-thedatasociety-2dlab-2dhadoop-370ec1 9b56babb15b3edce08a72fb6c6b2110ff4583946
- version: 2.3.7
iomete/ranger 2.4.0-latest
- version: 3.1.2
iomete/metastore 5.0.0
- version: 3.1.2
ankitkharedocker/mdasv1 spark-3.3.1
- version: 2.3.9
kydim/pyspark-notebook latest
- version: 2.3.9
jm3015/spark-py latest
- version: 2.3.9
iomete/query_scheduler_job 0.3.0
- version: 2.3.9
jackhu/docker-kettle 6.1
kettle
- version: 0.13.1, 1.1.0-cdh5.5.0, 0.13.0-mapr-1501-protobuf250, 1.2.1.2.3.0.0-2557
zhuangweikang/dmsconfig_consumer latest
- version: 2.3.7
intelanalytics/bigdl-ppml-trusted-big-data-ml-scala-occlum 2.4.0-oss
- version: 2.3.7
antrea/theia-anomaly-detection latest
- version: 2.3.7
intelanalytics/bigdl 2.4.0
BigDL local test Docker image
- version: 2.3.7
inseefrlab/onyxia-pyspark py3.10.12-spark3.4.1-2023.09.04
A minimal Python environment configured to use Spark through the PySpark interface.
- version: 2.3.9
pauloo23/pyspark-notebook 3.4.0
- version: 2.3.9
rajagile/ranger 3
- version: 3.1.2
c0mpiler/spark 3.3.2
- version: 2.3.9
ferlabcrsj/all-spark-notebook 3.2.0
Spark notebook images
- version: 2.3.9
diegograssato/jupyterlab 2.2.9-spark-3.0.1
- version: 2.3.7
diegograssato/spark-master 3.0.1-hadoop-3.2
- version: 2.3.7
cloudcheflabs/spark v3.4.0
- version: 2.3.9
diegograssato/spark-worker 3.0.1-hadoop-3.2
- version: 2.3.7
iomete/lakehouse-metadata-sync 2.1
- version: 2.3.9
kydim/my-spark-py-linux v1
- version: 2.3.7
gesiscss/binder-thedatasociety-2dlab-2ddatacollection-80b9bc 384be5a180a5aca20bcc4121f746ec433e9c9073
- version: 2.3.7
chupsamir/nomad-spark 3.3.0-hadoop3-v1
- version: 2.3.9
antrea/theia-spark-jobs v0.7.0
- version: 2.3.9, 2.3.7
cloudcheflabs/spark-operator v3.4.0
- version: 2.3.9, 2.3.7
rajagile/hive-metastore 13
- version: 3.1.3
jackhu/kettle-vnc 0.0.3
kettle onvnc
- version: 0.13.0-mapr-1501-protobuf250, 1.1.0-cdh5.5.0, 0.13.1, 1.2.1.2.3.0.0-2557
inseefrlab/onyxia-sparkr r4.3.2-spark3.5.0-2024.01.15
A minimal R environment configured to use Spark through the SparkR package.
- version: 2.3.9
webcenter/alpine-nifi latest
Nifi on Alpine
- version: 1.2.1
dview/spark 3.3.2
- version: 2.3.9, 2.3.7
rajagile/apachesparkhistoryserver 9
- version: 2.3.9
afcai2c/metabase latest
Business Intelligence tool - Explore and visualize data
- version: 1.2.2
luongvo/enterprise-gateway dev-cdeb5b02769367e2ee027bfe224a2b81e596e79e
- version: 2.3.9
mirrorgooglecontainers/zeppelin master-600f728d
- version: 0.14.0
andersonbr/pentaho-server-ce 8.2
Pentaho Server CE - out of the box configuration
- version: 1.1.0-cdh5.14.0, 2.3.2, 1.2.1000.2.6.0.3-8, 3.1.0.3.0.0.0-1634, 2.1.1-mapr-1710
ojbc/saiku ojbc-3.17-saml
- version: 0.13.1, *
wangyijian/spark v3.1.2
- version: 2.3.7