Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. | It is a self-contained, pluggable service to help you build, test, and continuously deliver software using the latest containerization technologies. |
Low-latency SQL queries;Dynamic queries on self-describing data in files (such as JSON, Parquet, text) and MapR-DB/HBase tables, without requiring metadata definitions in the Hive metastore.;ANSI SQL;Nested data support;Integration with Apache Hive (queries on Hive tables and views, support for all Hive file formats and Hive UDFs);BI/SQL tool integration using standard JDBC/ODBC drivers | Pick and choose plugins that make sense for you;
Keep track of your config in code;
Not tied to any one compute platform |
Statistics | |
GitHub Stars - | GitHub Stars 1.0K |
GitHub Forks - | GitHub Forks 170 |
Stacks 72 | Stacks 10 |
Followers 171 | Followers 28 |
Votes 16 | Votes 3 |
Pros & Cons | |
Pros
| Pros
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Integrations | |
| No integrations available | |

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