Data is unrivaled in its power to reveal insights for your business and customers. But where can you store it? What tools help you navigate and analyze it? Amazon Redshift, a leading data warehouse, is one of them.
What Is Amazon Redshift?
Amazon Redshift is a data warehouse that allows users to run complex analytic queries using query optimization. Using standard SQL, you can get results in a matter of seconds. For that reason, Redshift is a cost-effective, scalable method for storing and growing your business data.
Amazon Redshift Security
Amazon Redshift encrypts and keeps user data secure using industry-standard encryption techniques. To keep data secure in transit, Amazon Redshift supports SSL-enabled connections between any user applications and Redshift data warehouse clusters.
Likewise, Kloudio also offers high levels of data security. Users connect to Kloudio’s portal over HTTP—the same protocol used in online banking. The back-end servers communicate through SSL encrypted connections and query customer databases through whitelisted IP addresses and SSH tunneling.
Amazon Redshift vs Other Data Warehouses
We’ve compared Amazon Redshift to other warehouses (like Google BigQuery). In our analysis, we found that Amazon Redshift has the upper hand in performance, cost, and overall usability. This is particularly true when used on an enterprise scale. However, if simple accessibility and usage are important to you, BigQuery does offer a simpler UX.
Presentation is where BigQuery wins over Amazon Redshift. BigQuery abstracts your data so it appears simple and easy to use right away. Unfortunately, this comes at the cost of important details.
Data types are pretty comparable for both data warehouses, which both include text, integers, floats, booleans, and more. Redshift does support additional data types like financial data=. Where BigQuery falls short is with user-defined precision, which may result in inaccuracies.
Loading time is more complex for Redshift users because a variety of formats like CSV, JSON, and AVRO compress and complicate the process.
Expansion potential is huge for both Amazon Redshift and BigQuery. BigQuery focuses on this with huge communities for support and implementation. That said, AWS is growing fast, and Redshift is built on top of Postgres.
Connecting Amazon Redshift to Microsoft Excel or Google Sheets
There are a few reporting and data synchronization solutions for Amazon Redshift, each with their own strengths and weaknesses.
Kloudio is the leading solution as the only Amazon Redshift reporting tool that generates reports within Excel and Google Sheets. Kloudio delivers automatically generated reports on your preferred cadence with insights unparalleled to any other report builder. All you have to do is set up a connection and let Kloudio bring you your next weekly, monthly and annual report.
With this functionality, you can build custom reports using Redshift data—without leaving your spreadsheet application. Our drag-and-drop report builder is extremely intuitive and very robust. We also have an SQL editor and KloudML friendly for non-SQL users.
Kloudio connects Google Sheets or Excel to any database (including Amazon Redshift ETL, PostgreSQL Tool, Connect Excel to MySQL, and Microsoft SQL Server Tool) and allows you to access and update the database from your spreadsheet.
Including the least data-savvy business user, anyone can create reports on the Kloudio portal and run these reports to extract data onto Excel.
Amazon Redshift + Kloudio
For years, Kloudio has equipped data novices and data experts alike to securely query data, visualize insights, and generate customized reports.
Kloudio makes it simple for you to query and track data from your Amazon Redshift data warehouses in minutes. Spend less time compiling, and more time gaining insights from your data. Break free administrative tasks without compromising results. Create a free Kloudio account to get started.