Apache Drill vs DataGrip
Overview
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A powerful, open source object-relational database system
Detailed Comparison
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. | A cross-platform IDE that is aimed at DBAs and developers working with SQL databases. |
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 | Intelligent query console; Efficient schema navigation; Explain plan; Smart code completion; On-the-fly analysis and quick-fixes; Version control integration; Query console; Local history; Diff viewer; Import CSV; Export as text; Export as queries; User parameters; Diagrams |
Statistics | |
Stacks 74 | Stacks 576 |
Followers 171 | Followers 661 |
Votes 16 | Votes 17 |
Pros & Cons | |
Pros
| Pros
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Integrations | |
| No integrations available | |
What are some alternatives to Apache Drill, DataGrip?
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dbForge Studio for Oracle
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dbForge Studio for PostgreSQL
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Flyway
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