Amazon Athena
SQL Client Tool

Amazon Athena is a query service to analyze data in Amazon S3 using standard SQL

DBHawk For AWS Athena SQL Client

Amazon Athena SQL Client Tool 


Amazon Athena is a query service to analyze data in Amazon S3 using standard SQL. With Athena, users can define the schema pointing to data on S3, and query data using SQL. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets on S3.

Athena is based on the Presto distributed SQL engine and can query data in many different formats including JSON, CSV, log files, text with custom delimiters, Apache Parquet, and Apache ORC.

DBHawk enables various organizations to give and get complete data access on Amazon S3.

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Amazon Athena SQL Client Tool
Amazon Athena SQL Client Tool
S3 Connection

Connect to Amazon S3 data

You can connect to S3 data with DBHawk by using S3 staging directory to store query results, AWS access key as the username and AWS secret key for the password.

Athena Query Editor

Athena Query


DBHawk provides robust SQL query editor for Athena S3 data. With DBHawk query editor, users can write and run various queries against the database, create SQL snippets and give secure query access to other users. DBHawk SQL share feature allows users to share SQL query with other users.

Athena Data Charts

Athena S3 data Charts/Dashboard builders

With DBHawk charts and dashboard builders, users can run SQL queries, create various data visualizations, build live data dashboards, and share built dashboards with other users.

Browse Athena Data

Browse & Filter AWS

S3 Data

With DBHawk visual data browser, browse and filter data with built-in data filter.

View Athena Table Details

View Athena S3 Table Details

The Table columns viewer and SQL generator allow users to view Athena table definition and also generates SQL DDL for the table.

Export data to S3

 Export AWS S3 Query 


The S3 data export tool in DBHawk allows users to export data from S3 in various formats such as delimited files, Excel spreadsheets, HTML, PDF and directly storing data in AWS S3.

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