5 Ways that a Web-Based Redshift SQL Workbench Can Make you More Efficient

By Ashutosh Jha → Last Updated on Thursday, February 15, 2018
Amazon Redshift is a fully-managed web-based hosting service and online analytical processing database that was released as a beta version in November 2012 as part of the larger cloud-computing platform, Amazon Web Services.

Users can start integrating Amazon Redshift to their websites even with just a few of gigabytes of data and increase the allocation as needed. This data warehousing tool is considered as one of the top choices by several website developers and online businesses to gather comprehensive insights, to improve products and services and to enhance customer service.

Starting with Amazon Redshift is not as complicated as it may seem. The first step is to create an Amazon Redshift cluster, a set of nodes which you can use to upload information and set up data analysis queries. Unlike other data warehouse services, Amazon Redshift query performance is extremely fast, regardless of the weight of the data set.

You may also consider using third-party products and services to make things more convenient for you. DBHawk, a web-based Amazon Redshift SQL workbench and cloud database tool, is one of the most popular, most reliable, and most powerful third-party tools that you should integrate into your website. Learn more about the five ways that using a web-based Amazon Redshift SQL workbench can make your database management tasks more efficient.

1. Quick integration with JDBC driver

Connecting to Redshift in just a few seconds is now made possible with a JDBC (Java Database Connectivity) driver, a software component that enables Java applications to interact with data warehouses such as Amazon Redshift. To do this, simply create Redshift instance and enter the details to the form that appears when you create a new data source.

2. Generate database tables, charts, and dashboards with ease

DBHawk has an Online SQL Editor feature that allows the users to load SQL DDL to the application and generate Redshift tables. You may also create other database objects and run SQL queries to generate charts and live dashboards for monitoring business insights in real time.

3. Load data from S3 or local disk into Amazon Redshift

If you have been using Amazon S3 (Simple Storage Service) in the past and you want to transfer your data into Amazon Redshift, DBHawk can help you with that using the copy command. You may also load spreadsheet files such as CSV and Excel directly from S3 or your local storage.

4. Create queries using the visual Redshift query builder

DBHawk has a query builder tool that lets you create an interactive query by simply dragging and dropping tables into the platform. It also has a live SQL query and data preview to provide more convenience to its users.

5. Share, collaborate, and automate with DBHawk

Another great advantage of using DBHawk is that users can share SQL queries, reports, and dashboards with other users. It also has a Job Scheduler feature that allows the team to set up tasks to run reports, import data, receive the results through email, and download them to S3 or to a local disk. Visit this website to know more about the features and advantages of using DBHawk.

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Ashutosh Jha

Ashutosh Jha is a professional blogger, Blog and IT Consultant. He writes about Blogging, SEO, Making Money, Internet Marketing and Web Design.
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