Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Docs: Update vendor information for Cloudera #10278

Merged
merged 1 commit into from
May 14, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
25 changes: 16 additions & 9 deletions site/docs/vendors.md
Original file line number Diff line number Diff line change
Expand Up @@ -33,15 +33,22 @@ ClickHouse is a column-oriented database that enables its users to generate powe

### [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-public-cloud/cloud/cdp-iceberg/topics/iceberg-in-cdp.html
[Cloudera's data lakehouse](https://www.cloudera.com/products/open-data-lakehouse.html)
enables customers to store and manage their data in open table
formats like Apache Iceberg for running large scale multi-function analytics and AI.
Organizations rely on Cloudera's Iceberg support because it is easy to use, easy
to integrate into any data ecosystem and easy to run multiple engines - both Cloudera
and non-Cloudera, regardless of where the data resides.
It provides a common standard for all data with unified security, governance, metadata
management, and fine-grained access control across the data.

[Cloudera](https://www.cloudera.com/) provides an integrated end to end open data lakehouse with the ability
to ingest batch and streaming data using NiFi, Flink and Kafka, then process
the same copy of data using Spark and run analytics or AI with our
[Data Visualization](https://www.cloudera.com/products/cloudera-data-platform/data-visualization.html),
[Data warehouse](https://www.cloudera.com/products/data-warehouse.html) and
[Machine Learning](https://www.cloudera.com/products/machine-learning.html) tools on private
or any public cloud.

### [Dremio](https://www.dremio.com/)

Expand Down