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| Technologies | Clinical utilization |
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| Hadoop Distributed File System (HDFS) | It has clinical use because of its high capacity, fault tolerant, and inexpensive storage of very large datasets clinical. |
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| MapReduce | The programming paradigm has been used for processing clinical Big Data. |
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| Hadoop | Infrastructure adapted for clinical data processing. |
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| Spark | Processing/storage of clinical data indirectly. |
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| Cassandra | Key-value store for clinical data indirectly. |
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| HBase | NoSQL database with random access was used for clinical data. |
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| Apache Solr | Document warehouse indirectly for clinical data. |
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| Lucene and Blur | Document warehouse not yet in healthcare, but upcoming for free text query on Hadoop platform, can be used for clinical data. |
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| MongoDB | JSON document-oriented database has been used for clinical data. |
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| Hive | Data interaction not yet configured for clinical data, but SQL layer to cross platform being possible. |
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| Spark SQL | SQL access to Hadoop data not yet configured for clinical data. |
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| JSON | Data description and transfer has been used for clinical data. |
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| ZooKeeper | Coordination of data flow has been used for clinical data. |
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| YARN | Resource allocator of data flow has been used for clinical data. |
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| Oozie | A workflow scheduler to manage complex multipart Hadoop jobs not currently used for clinical data. |
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| Pig | High-level data flow language for processing batches of data, but not used for clinical data. |
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| Storm | Streaming ingestions were used for clinical data. |
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