A fully managed, petabyte-scale data warehouse service provided by Amazon is Redshift. It has been designed for dealing with analytic workloads and is based in the cloud. You can get access to business intelligence tool and also connect to SQL-based clients. It has become the optimal choice of a wide array of businesses when they are looking for a data warehouse. Why? There are various reasons why this has happened and some of the top ones are outlined below:
Why Use Amazon Redshift
Ease of use
One of the primary reasons why Amazon Redshift has become popular is due to its ease of use. The relational database structure of Amazon Redshift is similar to the household SQL-based commands and this makes it easier for administrators. They are able to adopt the program quite quickly because they are familiar with the best practices in SQL. The common administrative tasks are automated and this can help in managing, monitoring and scaling data warehouse. The heavy lifting is eliminated and this allows you to focus on the analytics and core business needs.
Other than ease of use, the second-most popular reason for the fast adoption of Amazon Redshift in the market is its cost efficiency. As compared to the more traditional data warehouses. Redshift is able to offer a combo of huge cost-efficiency at scale as well as entry-level affordability. Unlimited analytics can be performed on your data by an unlimited number of users throughout the year for $1,000. A columnar-based architecture is used for query optimization and this can reduce the I/O load, thereby returning results in a couple of seconds and reducing costs.
Ease of management and configuration
Not only is Amazon Redshift great for dealing with price hurdles, it can also be great for boosting efficiency and performance to the workflow. Whether you are new user or a veteran, you will discover that Amazon Redshift can handle a number of tasks automatically, which are often time consuming. It can offer provisioning, configuration and patching. Data availability and durability is also assured and Amazon S3 replicates and backs up all of it.
Those who are already using Amazon AWS (Amazon Web Services) will find that there are considerable synergies to be enjoyed when you also opt for Amazon Redshift. The benefits range from cost of deployment and speed to innovation and scalability. For instance, you can leverage the Spectrum application of Amazon Redshift against services such as S3 for running queries against exabytes of data. Frequently accessed and highly structured data can be stored on local disks of Amazon Redshift whereas massive amounts of unstructured data can be kept in an Amazon S3 ‘data lake’ and you can query seamlessly between the two.
Switch to Web-Based Amazon Redshift SQL Workbench
You can use web based SQL Workbench Redshift , such as DBHawk. It is a web-based SQL Workbench Redshift database and is a complete database management and BI platform. With DBHawk, Redshift users can instantly connect and load data. They can perform Redshift DB tasks, create
visual SQL queries, build charts, etc. and do so much more with few clicks. DBHawk platform lets Redshift users share and get an access to visualizations and queries simply from a browser window.
These are some excellent reasons for you to consider using Amazon Redshift. At the end, the platform DBHawk that was discussed will allow you to do all the work of setting up, running, scaling and operating a data warehouse. Some of these tasks include monitoring and backing up cluster, provisioning capacity and applying upgrades and patches. Using the data for acquiring new insights for your customers and business has never been this easy.