Amazon Redshift SQL Workbench
Fully manage your Amazon Redshift database with DBHawk's web-based SQL Redshift Workbench. Explore and load your data, create tables, build SQL queries, create custom charts, and more with the all-in-one database management tool.
About Amazon Redshift
Amazon Redshift is a massive parallel processing (MPP) data-warehousing database built on PostgreSQL based technology. Redshift offers a fully managed, petabyte-scale data warehouse service in the cloud.
Transform Amazon Redshift data
into powerful and visual insights
DBHawk is a web-based Amazon Redshift SQL IDE Client that offers a comprehensive database management and data analytics platform. By leveraging DBHawk, Redshift users can quickly connect, & load data, perform redshift database tasks, build visual SQL queries, generate charts, and create custom dashboards with just a few clicks.
DBHawk provides a user-friendly, web-based, collaborative database management platform that allows Redshift users to share and access visualizations and queries via a browser window. Flexible deployment options include AWS cloud or on-premise. DBHawk SQL Redshift Workbench IDE enables organizations to give complete Redshift data access to their database users with proper data access security in place.
DBHawk features at a glance
- Many databases - Single Browser based database tool, No client software.
- Import and Export data to and from AWS S3
- Powerful SQL Query Editor and SQL Query Builder
- Zero Trust Database Access with Built-in Object Access Control Policy and Dynamic Data Masking
- Speed up collaboration with customized SQL data charts, dashboards, and snippets for enhanced cross-team insights
- Save and Share SQL Queries with your team for collaboration
- Integrate with SAML, LDAP, SSO, OKTA, and API
- Automate Redshift repetitive reports SQL queries with our powerful job scheduler
Trusted by our customers to protect and access their data
DBHawk Amazon Redshift SQL Workbench Features
Connect to Redshift Database with a JDBC Driver
Create Redshift Instance, create a new data source in DBHawk with entering details and Connect to Redshift in a few seconds with DBHawk SQL workbench redshift.
Create Database Tables
Load SQL,DDL, and create Redshift tables and other database objects.
Load data into Redshift from S3 or Local Disk
Using the COPY Command with SQL workbench redshift, users can load data from Amazon S3 or import data from CSV or Excel files located on S3 or local disk.
Build Queries Using the Visual Redshift SQL Query Builder
Leverage DBHawk to connect to your Amazon Redshift instance to write, execute, and save complex SQL queries. Users can use the Query Builder feature to drag and drop tables to build an interactive query with live SQL query and data previews.
Build Charts and Dashboards
DBHawk provides an online SQL client for running SQL queries, building charts and sharing live data dashboards to quickly get important business insights.
Create Ad-hoc Reports
With only a few clicks, DBHawk enables the creation of ad-hoc SQL data reports and the exportation of the report to multiple file types, including PDF, Excel, and CSV.
SQL Share, Team Collaboration & Automation
With DBHawk, users can share reports, dashboards, and SQL Queries for better collaboration and cross team efficiency. DBHawk provides a Job Scheduler feature that allows users to schedule jobs to run reports and import data at regular intervals. Users can receive these results by email and save the output to S3 or a local disk.
Web-Based Redshift Management with DBHawk Tool
DBHawk is a complete database management platform for Redshift. Using DBHawk, users can create tables, views, UDF, database users, etc. Users can view column details for the tables & views, view grants, and UDF definitions. Users can view SQL DDL for tables.
Web-Based Redshift Management with DBHawk Tool
DBHawk is a complete database management platform for Redshift. Using DBHawk, users can create tables, views, UDF, database users, etc. Users can view column details for the tables & views, view grants, and UDF definitions. Users can view SQL DDL for tables.
Easily Query Amazon Redshift Data with Only a Few Clicks by Leveraging DBHawk’s Redshift SQL Workbench
Start a free trial or request a demo today to learn how DBHawk can optimize your Amazon Redshift database queries. Our free trial includes all of the basic features plus premium access.
Frequently Asked Questions
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.
Amazon Redshift is used to quickly analyze large amounts of data using complex queries and store query results for future use. It can also be used to efficiently store structured and semi-structured datasets.
Yes, DBHawk provides an online data browser that enables you to manage your Amazon Redshift database schema and objects. With its easy-to-use interface, you can easily access the tables in the database, view table properties, execute SQL statements and monitor query performance.
Yes, DBHawk provides a comprehensive set of security features to help protect your Amazon Redshift data. With its role-based access control and data masking features, you can easily manage user permissions and ensure that only authorized users have access to sensitive data. Additionally, with its auditing feature you can track who made changes to the database and what.
Yes, DBHawk provides an online collaboration platform that enables you to easily collaborate with your team on Amazon Redshift projects. With its intuitive interface and easy-to-use features, you can quickly share data and insights with team members in real time.
Yes, DBHawk provides a free trial version that enables you to test out its features for managing your Amazon Redshift database. You can use the trial version to get familiar with the platform and determine if it meets your needs before purchasing a license.
In addition to Amazon Redshift, DBHawk also supports popular relational databases such as MySQL, PostgreSQL, SQL Server and Oracle. Additionally, it also supports NoSQL databases like MongoDB, and Cassandra. It also provides support for serverless data sources like AWS DynamoDB
Yes, DBHawk provides a dedicated customer support team that is available round the clock to help you with any issues or questions you have when using DBHawk for Amazon Redshift.
es, DBHawk has many positive five-star user reviews. Customers have praised DBHawk for its intuitive interface, robust security features, and excellent customer support.
For any other frequently asked questions related to DBHawk, please visit our FAQ page.
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