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@@ -223,6 +223,7 @@ You can read more about this distinction on Prof. Daniel Abadi's blog: [Distingu
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* [Parquet](http://parquet.apache.org/) - columnar storage format for Hadoop.
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* [Pivotal Greenplum](https://pivotal.io/big-data/pivotal-greenplum) - purpose-built, dedicated analytic data warehouse that offers a columnar engine as well as a traditional row-based one.
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* [Vertica](https://www.vertica.com/) - is designed to manage large, fast-growing volumes of data and provide very fast query performance when used for data warehouses.
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* [SQream DB](http://www.sqream.com/) - A GPU powered big data database, designed for analytics and data warehousing, with ANSI-92 compliant SQL, suitable for data sets from 10TB to 1PB.
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* [Google BigQuery](https://cloud.google.com/bigquery/what-is-bigquery) Google's cloud offering backed by their pioneering work on Dremel.
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* [Amazon Redshift](http://aws.amazon.com/redshift/) Amazon's cloud offering, also based on a columnar datastore backend.
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* [IndexR](https://github.com/shunfei/indexr) an open-source columnar storage format for fast & realtime analytic with big data.
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