rdblue commented on code in PR #131: URL: https://github.com/apache/iceberg-docs/pull/131#discussion_r941867092
########## landing-page/content/common/vendors.md: ########## @@ -0,0 +1,50 @@ +--- +title: "Vendors" +url: vendors +disableSidebar: true +--- +<!-- + - Licensed to the Apache Software Foundation (ASF) under one or more + - contributor license agreements. See the NOTICE file distributed with + - this work for additional information regarding copyright ownership. + - The ASF licenses this file to You under the Apache License, Version 2.0 + - (the "License"); you may not use this file except in compliance with + - the License. You may obtain a copy of the License at + - + - http://www.apache.org/licenses/LICENSE-2.0 + - + - Unless required by applicable law or agreed to in writing, software + - distributed under the License is distributed on an "AS IS" BASIS, + - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + - See the License for the specific language governing permissions and + - limitations under the License. + --> + +## Vendors Supporting Iceberg Tables + +This page contains some of the vendors who are shipping and supporting Apache Iceberg in their products + + +### [Cloudera](http://cloudera.com) + +Cloudera Data Platform integrates Apache Iceberg to the following components: +* Apache Hive, Apache Impala, and Apache Spark to query Apache Iceberg tables +* Cloudera Data Warehouse service providing access to Apache Iceberg tables through Apache Hive and Apache Impala +* Cloudera Data Engineering service providing access to Apache Iceberg tables through Apache Spark +* The CDP Shared Data Experience (SDX) provides compliance and self-service data access for Apache Iceberg tables +* Hive metastore, which plays a lightweight role in providing the Iceberg Catalog +* Data Visualization to visualize data stored in Apache Iceberg + +https://docs.cloudera.com/cdp/latest/cdp-iceberg/topics/iceberg-in-cdp.html + Review Comment: ```suggestion ### [Dremio](https://www.dremio.com/) With Dremio, an organization can easily build and manage a data lakehouse in which data is stored in open formats like Apache Iceberg and can be processed with Dremio’s interactive SQL query engine and non-Dremio processing engines. [Dremio Cloud](https://www.dremio.com/get-started/) provides these capabilities in a fully managed offering. * [Dremio Sonar](https://www.dremio.com/platform/sonar/) is a lakehouse query engine that provides interactive performance and DML on Apache Iceberg, as well as other formats and data sources. * [Dremio Arctic](https://www.dremio.com/platform/arctic/) is a lakehouse catalog and optimization service for Apache Iceberg. Arctic automatically optimizes tables in the background to ensure high-performance access for any engine. Arctic also simplifies experimentation, data engineering, and data governance by providing Git concepts like branches and tags on Apache Iceberg tables. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
