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| |
| <h2 id="apache-kudu-ecosystem">Apache Kudu Ecosystem</h2> |
| |
| <p>While the Apache Kudu project provides client bindings that allow users to |
| mutate and fetch data, more complex access patterns are often written via SQL |
| and compute engines. This is a non-exhaustive list of projects that integrate |
| with Kudu to enhance ingest, querying capabilities, and orchestration.</p> |
| |
| <h3 id="frequently-used">Frequently used</h3> |
| |
| <p>The following integrations are among the most commonly used with Apache Kudu |
| (sorted alphabetically).</p> |
| |
| <ul> |
| <li><a href="#apache-impala">Apache Impala</a></li> |
| <li><a href="#apache-nifi">Apache Nifi</a></li> |
| <li><a href="#apache-spark-sql">Apache Spark SQL</a></li> |
| <li><a href="#presto">Presto</a></li> |
| </ul> |
| |
| <h3 id="sql">SQL</h3> |
| |
| <h4 id="apache-drill"><a href="https://drill.apache.org/">Apache Drill</a></h4> |
| <p>Apache Drill provides schema-free SQL Query Engine for Hadoop, NoSQL and Cloud |
| Storage. See the <a href="https://drill.apache.org/apidocs/org/apache/drill/exec/store/kudu/package-summary.html">Drill Kudu API |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="apache-hive"><a href="https://hive.apache.org/">Apache Hive</a></h4> |
| <p>The Apache Hive ™ data warehouse software facilitates reading, writing, and |
| managing large datasets residing in distributed storage using SQL. See the |
| <a href="https://cwiki.apache.org/confluence/display/Hive/Kudu+Integration">Hive Kudu integration |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="apache-impala"><a href="https://impala.apache.org/">Apache Impala</a></h4> |
| <p>Apache Impala is the open source, native analytic database for Apache Hadoop. |
| See the <a href="https://kudu.apache.org/docs/kudu_impala_integration.html">Kudu Impala integration |
| documentation</a> for |
| more details.</p> |
| |
| <h4 id="apache-spark-sql"><a href="https://spark.apache.org/docs/latest/sql-programming-guide.html">Apache Spark SQL</a></h4> |
| <p>Spark SQL is a Spark module for structured data processing. See the <a href="https://kudu.apache.org/docs/developing.html#_kudu_integration_with_spark">Kudu Spark |
| integration |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="presto"><a href="https://prestodb.io/">Presto</a></h4> |
| <p>Presto is an open source distributed SQL query engine for running interactive |
| analytic queries against data sources of all sizes ranging from gigabytes to |
| petabytes. See the <a href="https://prestodb.io/docs/current/connector/kudu.html">Presto Kudu connector |
| documentation</a> for more |
| details.</p> |
| |
| <h3 id="computation">Computation</h3> |
| |
| <h4 id="apache-beam"><a href="https://beam.apache.org/">Apache Beam</a></h4> |
| <p>Apache Beam is a unified model for defining both batch and streaming |
| data-parallel processing pipelines, as well as a set of language-specific SDKs |
| for constructing pipelines and Runners for executing them on distributed |
| processing backends. See the <a href="https://beam.apache.org/releases/javadoc/2.23.0/org/apache/beam/sdk/io/kudu/KuduIO.html">Beam Kudu source and sink |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="apache-spark"><a href="https://spark.apache.org/">Apache Spark</a></h4> |
| <p>Apache Spark is a unified analytics engine for large-scale data processing. See |
| the <a href="https://kudu.apache.org/docs/developing.html#_kudu_integration_with_spark">Kudu Spark integration |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="pandas"><a href="https://pandas.pydata.org/">Pandas</a></h4> |
| <p>Pandas is an open source, BSD-licensed library providing high-performance, |
| easy-to-use data structures and data analysis tools for the Python programming |
| language. Kudu Python scanners can be converted to Pandas DataFrames. See |
| <a href="https://github.com/apache/kudu/blob/master/python/kudu/tests/test_scanner.py">Kudu’s Python |
| tests</a> |
| for example usage.</p> |
| |
| <h3 id="talend-big-data"><a href="https://www.talend.com/products/big-data/">Talend Big Data</a></h3> |
| <p>Talend simplifies and automates big data integration projects with on demand |
| Serverless Spark and machine learning. See <a href="https://help.talend.com/reader/SuRq3Ek0vdlxbl_OV_wVFQ/iC3nZLaM7f49tf0mYTetIA">Talend’s Kudu component |
| documentation</a> |
| for more details.</p> |
| |
| <h3 id="ingest">Ingest</h3> |
| |
| <h4 id="akka"><a href="https://akka.io/">Akka</a></h4> |
| <p>Akka facilitates building highly concurrent, distributed, and resilient |
| message-driven applications on the JVM. See the <a href="https://doc.akka.io/docs/alpakka/current/kudu.html">Alpakka Kudu connector |
| documentation</a> for more |
| details.</p> |
| |
| <h4 id="apache-flink"><a href="https://flink.apache.org/">Apache Flink</a></h4> |
| <p>Apache Flink is a framework and distributed processing engine for stateful |
| computations over unbounded and bounded data streams. See the <a href="https://github.com/apache/bahir-flink/tree/master/flink-connector-kudu">Flink Kudu |
| connector |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="apache-nifi"><a href="https://nifi.apache.org/">Apache Nifi</a></h4> |
| <p>Apache NiFi supports powerful and scalable directed graphs of data routing, |
| transformation, and system mediation logic. See the <a href="https://nifi.apache.org/docs/nifi-docs/components/org.apache.nifi/nifi-kudu-nar/1.5.0/org.apache.nifi.processors.kudu.PutKudu/">PutKudu processor |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="apache-spark-streaming"><a href="https://spark.apache.org/docs/latest/streaming-programming-guide.html">Apache Spark Streaming</a></h4> |
| <p>Spark Streaming is an extension of the core Spark API that enables scalable, |
| high-throughput, fault-tolerant stream processing of live data streams. |
| See <a href="https://github.com/apache/kudu/blob/master/java/kudu-spark/src/test/scala/org/apache/kudu/spark/kudu/StreamingTest.scala">Kudu’s Spark Streaming |
| tests</a> |
| for example usage.</p> |
| |
| <h4 id="confluent-platform-kafka"><a href="https://www.confluent.io/product/confluent-platform">Confluent Platform Kafka</a></h4> |
| <p>Apache Kafka is an open-source distributed event streaming platform used by |
| thousands of companies for high-performance data pipelines, streaming |
| analytics, data integration, and mission-critical applications. See the <a href="https://docs.confluent.io/current/connect/kafka-connect-kudu/index.html">Kafka |
| Kudu connector |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="streamsets-data-collector"><a href="https://streamsets.com/products/dataops-platform/data-collector/">StreamSets Data Collector</a></h4> |
| <p>StreamSets Data Collector is a lightweight, powerful engine that streams data |
| in real time. See the <a href="https://streamsets.com/documentation/datacollector/latest/help/datacollector/UserGuide/Destinations/Kudu.html">StreamSets Data Collector Kudu destination |
| documentation</a>.</p> |
| |
| <h4 id="striim"><a href="https://www.striim.com/">Striim</a></h4> |
| <p>Striim is real-time data integration software that enables continuous data |
| ingestion, in-flight stream processing, and delivery. See the <a href="https://www.striim.com/docs/archive/390/en/kuduwriter.html">Striim Kudu |
| Writer |
| documentation</a> for |
| more details.</p> |
| |
| <h4 id="tibco-streambase"><a href="https://www.tibco.com/resources/datasheet/tibco-streambase">TIBCO StreamBase</a></h4> |
| <p>TIBCO StreamBase® is an event processing platform for applying mathematical and |
| relational processing to real-time data streams. See the <a href="https://docs.tibco.com/pub/sfire-sfds/latest/doc/html/authoring/kuduoperator.html">StreamBase Kudu |
| operator |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="informatica-powerexchange"><a href="https://docs.informatica.com/data-integration/powerexchange-for-cdc-and-mainframe/10-4-1/reference-manual/introduction-to-powerexchange.html">Informatica PowerExchange</a></h4> |
| <p>Informatica® PowerExchange® is a family of products that enables retrieval of a variety of data |
| sources without having to develop custom data-access programs. See the |
| <a href="https://docs.informatica.com/data-integration/powerexchange-adapters-for-informatica/10-5/powerexchange-for-kudu-user-guide/preface.html">PowerExchange for Kudu documentation</a> |
| for more details.</p> |
| |
| <h3 id="deployment-and-orchestration">Deployment and Orchestration</h3> |
| |
| <h4 id="apache-camel"><a href="https://camel.apache.org/">Apache Camel</a></h4> |
| <p>Camel is an open source integration framework that empowers you to quickly and |
| easily integrate various systems consuming or producing data. See the <a href="https://camel.apache.org/components/latest/kudu-component.html">Camel |
| Kudu component |
| documentation</a> |
| for more details.</p> |
| |
| <h4 id="cloudera-manager"><a href="https://www.cloudera.com/products/product-components/cloudera-manager.html">Cloudera Manager</a></h4> |
| <p>Cloudera Manager is an end-to-end application for managing CDH clusters. See |
| the <a href="https://docs.cloudera.com/runtime/latest/administering-kudu/topics/kudu-managing-kudu.html">Cloudera Manager documentation for |
| Kudu</a> |
| for more details.</p> |
| |
| <h4 id="docker"><a href="https://www.docker.com/">Docker</a></h4> |
| <p>Docker facilitates packaging software into standardized units for development, |
| shipment, and deployment. See the official <a href="https://hub.docker.com/r/apache/kudu">Apache Kudu |
| Dockerhub</a> and the <a href="https://kudu.apache.org/docs/quickstart.html">Apache Kudu Docker |
| Quickstart</a> for more details.</p> |
| |
| <h4 id="wavefront"><a href="https://docs.wavefront.com/wavefront_introduction.html">Wavefront</a></h4> |
| <p>Wavefront is a high-performance streaming analytics platform that supports 3D |
| observability. See the <a href="https://docs.wavefront.com/kudu.html">Wavefront Kudu integration |
| documentation</a> for more details.</p> |
| |
| <h3 id="visualization">Visualization</h3> |
| |
| <h4 id="zoomdata"><a href="https://www.zoomdata.com/">Zoomdata</a></h4> |
| <p>Zoomdata provides a high-performance BI engine and visually engaging, |
| interactive dashboards. See <a href="https://www.zoomdata.com/product/big-data/big-data-analytics-kudu/">Zoomdata’s Kudu |
| page</a> for |
| more details.</p> |
| |
| <h2 id="distribution-and-support">Distribution and Support</h2> |
| |
| <p>While Kudu is an Apache-licensed open source project, software vendors may |
| package and license it with other components to facilitate consumption. These |
| offerings are typically bundled with support to tune and facilitate |
| administration.</p> |
| |
| <ul> |
| <li><a href="https://www.cloudera.com/products/open-source/apache-hadoop/apache-kudu.html">Cloudera CDH</a></li> |
| <li><a href="https://www.phdata.io/getting-started-with-kudu/">phData</a></li> |
| </ul> |
| |
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