Amazon Redshift is one of the world’s most popular cloud data warehousing solutions. Along with other Amazon Web Services offerings, such as Amazon S3 and Amazon EMR (Elastic MapReduce), Redshift can help enhance your data workflows and manage your enterprise data.

With the right expertise, Redshift can help you integrate all of your data sources, from operational databases and data lakes to third-party files and websites. By storing all your enterprise data in a centralized location, Redshift can facilitate cutting-edge real-time analytics and serve as a single source of truth.

Despite these benefits, however, too many companies struggle to make a Redshift data warehouse work for them. In a 2020 survey, for example, 57 percent of small and medium-sized businesses said they don’t have the right people to implement data and analytics within their organization.

The good news is that there’s a simple solution: a third-party Amazon Redshift data integration tool that comes with a suite of ETL services. That’s where—a cloud-based ETL (extract, transform, load) platform—comes in. Amazon Redshift and are the perfect complements for each other. Below, we’ll give a quick overview of how you can manage your Amazon Redshift data with

Table of Contents

What Is is a cloud-based ETL, ELT, CDC, ReverseETL & API Management platform for operationalizing your enterprise data and storing it in a centralized data warehouse. The features and benefits of include:

  • Creating automated data flows that unite your data sources and targets.
  • Dozens of data transformations to clean and prepare your data for storage.
  • A no-code, drag-and-drop interface that lets anyone rapidly build data pipelines.
  • More than 140 prebuilt data connectors and integrations.
  • Insightful analytics and visualizations for your databases, data warehouses, and other data products.
  • Easy compliance with HIPAA, GDPR, PCI DSS, CCPA, and other data security and privacy regulations.
  • Adherence to data security best practices, including physical security, network security, and SSL/TLS encryption for data at rest.

With a wide range of use cases and connectors—including Salesforce and Heroku— is the best data integration solution on the market. For example, our eCommerce customers have used to streamline and optimize their marketing campaigns, including smarter targeted ads on platforms like Google AdWords and Facebook.

How To Use Amazon Redshift and

The Amazon Redshift cloud data warehouse is one of the top business intelligence tools on the market. Customers can get started using Redshift as soon as they create an AWS account and upload their data.

The benefits of using Amazon Redshift include:

  • Ease of use: If you’re familiar with SQL and relational databases, working with Redshift will be simple and intuitive. Redshift also offers the ability to automate many administrative tasks through user scripts.
  • Cost-efficiency: Unlike an on-premises data warehouse, Redshift uses a “pay as you go” cost model. There are two different Redshift pricing models, on-demand and reserved instance pricing, to best fit your needs.
  • The Amazon ecosystem: Redshift isn’t a standalone product; it can easily interface with other parts of the Amazon Web Services ecosystem, like Amazon EC2 (Elastic Compute Cloud) and AWS Lambda for serverless computing. From IAM (identity and access management) to machine learning and AI, AWS includes solutions for any organization’s needs in the public cloud.

For large-scale, high-performance big data use cases, however, you need a way to automatically extract and oversee your enterprise data. That’s where comes in. Amazon Redshift and can perfectly complement each other for data processing, management, and analysis.

Although Redshift has many inherent advantages, it also comes with its own challenges: data bottlenecks, difficulties integrating multiple data sources, high query execution times, performance issues, and more. This presents the ideal opportunity for Amazon Redshift and to work hand in glove. offers an Amazon Redshift connector that helps you send data from any source or dataset directly into your Redshift data warehouse. Thanks to’s Redshift ETL offering, you can solve the issues of Redshift data warehousing, without having to dive into the technical details yourself.

With’s powerful, code-free ETL platform, users can filter and control exactly the data that is loaded into their Redshift destination. For example,’s REST API connector allows you to pull data from any source with a REST API. Technical concerns such as I/O, parallelism and concurrency, database connections, and job scheduling are all handled behind the scenes for you, letting you focus on the big picture.

7 Benefits of Combining Amazon Redshift and

1. Greater Flexibility is a tremendously flexible, adaptable data integration platform. With more than 140 pre-built data connectors and integrations, enables users to modify the data sources and targets in their ETL pipeline. For example, if you decide to switch from Redshift to Snowflake or Microsoft Azure, can accompany you along the way. This makes it easy to avoid the risks of vendor lock-in.

2. Ironclad Security

Security should always be a concern when storing confidential data in the cloud. keeps your most sensitive information safe while it’s inside your ETL pipeline. The platform includes features such as SOC 2 compliance and field-level encryption for more control over how your enterprise data is protected as it travels to your Redshift data warehouse.

3. Pricing Model

Like Redshift, offers a user-friendly pricing model to help you operationalize more of your data. pricing is based on the number of connectors in your data pipeline. This means that if you’re planning to consume more data but keep your pipeline architecture the same, your costs won’t increase. is an excellent choice for organizations that are planning to rapidly scale their Redshift usage.

4. Wide Range of Applications

The ETL platform can be used by organizations in many different industries, from travel and SaaS to e-learning and healthcare. One of’s primary areas of focus is eCommerce. Retailers can use to get a customer 360 view of their audience, maximize brand loyalty and optimize the customer experience across web, mobile, and in-store.

5. Support for Change Data Capture

Change data capture (CDC) is a technique that detects the changes made to a source table or database since the last data integration job. During the next job, the platform can then move only that data that has changed, rather than the entire table or database. includes support for CDC with its FlyData platform, making your ETL workflows faster and more efficient.

6. Support for ELT

ELT (extract, load, transform) is an alternate form of data integration in which information is first loaded into a target location like Redshift before being transformed. ELT makes your workflows more flexible and dynamic, though it can require more resources and technical knowledge. includes support for both ETL and ELT, so that you can choose the option that works best for your business needs.

7. Support for Reverse ETL

Reverse ETL is a data integration architecture in which information flows out of a centralized data warehouse like Redshift and into third-party systems. Reverse ETL can help supply data and insights to users of CRM, BI and analytics platforms. enables users to construct both ETL and reverse ETL data pipelines.

How Can Help With Amazon Redshift is a powerful, feature-rich ETL and data integration platform that makes it simple to work with your chosen data ecosystem. If you want to host your enterprise data in an Amazon Redshift cloud data warehouse, can help. We offer the connectors, transformations, and pipelines you need to get your data inside Redshift and start mining it for valuable insights.

Beyond ETL, however, the platform has so much more to offer. We’ve joined forces with some of the best tools and software to satisfy your big data needs under one roof. includes functionality for instantly generating APIs, change data capture, data warehouse performance analytics, and more.

Want to learn more about how can help you make the most of your Amazon Redshift data warehouse? Get in touch with our team of data experts today for a chat about your business needs and objectives or to get a free demo of the platform.