An Analysis of Data Egress Cost and How Sprinkle saves on it

BlogsData Engineering

Cost reduction is one of the primary objectives of any business. Modern day data analytics decision makers are no different. They strive to get their hands on a tool or a platform that would enable them to not only perform better data analytics but also help them reduce the cost of the complete data infrastructure. For example, the total cost of ownership of a data infrastructure includes the cloud cost, ETL tool cost and Analytics tools cost.

Its not a hidden secret that moving data from local data centres to cloud based data lakes is much more cost efficient. Generally, cloud providers charge pennies for storing multiple gigabytes of data and transferring it within the cloud provider's network. For example, Amazon Web Services (AWS) charges a little more than 2 cents per GB of data stored and the incremental cost gets even lower with the rising volume of data. Understanding the nuances of data egress fees, especially when transferring data outside the cloud provider's network to an external destination, is crucial for maintaining cost efficiency.

Once a decision maker is convinced about a storage solution and it serves their use case, the next question that comes to his head is, “ How much will they charge for transferring data?”

Data storage providers generally don’t charge anything or charge very less for uploading data into the cloud. They don’t want to put any restrictions on the data volume uploaded on the cloud. But, when the data is moving out of the cloud, the costs pile up for an organisation. This is referred to as data egress cost.

What is Data Egress and Data Transfer?

Data egress cost is incurred by an organisation when they plan to move out the data from the cloud storage or in other words while exporting the data. Now, there could be multiple reasons for doing this. Some of them include, transfer of data to some other storage, disaster recovery and data movement from an application to a preferred data lake or data warehouse, among others. Utilizing a content delivery network (CDN) can significantly reduce data egress costs by caching data closer to the end user, which not only lowers costs but also improves load times for busy web applications that might otherwise incur hefty data egress charges.

The opposite of data egress is data ingress or import of data into the data storage. Generally, there are no charges involved in this process, highlighting the cost-saving benefits of free inbound data transfer, a feature that is particularly emphasized in cloud services like Oracle Cloud Infrastructure (OCI).

Data Egress Cost Analysis Among Cloud Providers: AWS vs GCP vs Azure

While making a decision of choosing the preferred data storage platform, understanding data transfer fees is crucial as they represent unexpected costs organizations face when transferring data out of the cloud. The answer to the question of how much is the data egress cost? is influenced not only by storage costs but also by the amount of data transferred, with fees accumulating based on the volume of data transferred out of the cloud provider's environment. For example, the data egress cost at AWS is only 5 to 7 cents higher than the cost of storing the data on a per GB basis. However, this becomes significant as the volume of data grows. And with any growing business, the volume of data is bound to increase, resulting in a substantial cost for the organization.

Most cloud providers, including leading cloud data storage providers like Amazon Web Services, Google Cloud Platform, and Microsoft Azure, have their own pricing models for data egress, which impacts the overall cost comparison. Let’s take a quick look at the data egress cost of these providers.

Amazon Web Services

$0.09 per GB up to 10 TB/mo, $0.085 per GB for the next 40 TB

Google Cloud Platform 

$0.12 per GB for the first TB, $0.11 per GB up to 10 TB, $0.08 per GB after 10 TB

‍Microsoft Azure

$0.087 per GB for up to 10 TB, $0.083 per GB for up to 40 TB

Note: All prices are referred from the respective websites

How Sprinkle Saves on Data Egress Fees?

Sprinkle is a data platform built for cloud data warehouses and it doesn’t require any transfer of data outside your cloud infrastructure.

Using Kubernetes, Sprinkle processes and transfers data in the same network, avoiding outbound data transfer fees that are common when moving data between availability regions in other tools. This is much more secured - More secured as data does not move out of network.

Sprinkle Architecture

As seen in the above image, Sprinkle sits within the customer network and no data moves outside the customer network. Hence, there is no data egress cost while using the Sprinkle as compared to some other tools, who move the data outside the customer network. 


Q: What are data egress fees and costs?

A: Data egress costs are the charges incurred by businesses when they transfer data out of a a cloud service provider's network or storage system.

Q: Why is it important to analyze data egress costs?

A: It is important to analyze data egress costs to understand how much it costs to transfer data from a cloud provider's network or storage system and optimize cloud data egress transfer to reduce costs.

Q: How can businesses analyze their data egress costs?

A: Businesses can analyze their data egress costs by monitoring their data transfer patterns, identifying high-volume and high-cost data transfers, and optimizing their data transfer processes to reduce data transfer costs further.

Q: What are some best practices for reducing data egress fees and costs?

A: Some best practices for reducing data egress costs include compressing data before the transfer, using caching to reduce frequent data transfers, and using regional data centers for storage to minimize the distance data needs to travel.

Q: How can businesses determine which third cloud services provider offers the most cost-effective data egress options?

A: Businesses can determine which cloud provider offers the most cost-effective data egress options by comparing the pricing and features of free egress out of different cloud providers and by conducting tests to evaluate the performance and cost of data transfers.

Q: How can businesses effectively manage their own data center egress costs?

A: Businesses can ensure they effectively manage their data egress costs by regularly monitoring their data transfer patterns and costs, optimizing their data transfer processes, and working with experts in the field to identify and implement best practices.

Written by
Soham Dutta


An Analysis of Data Egress Cost and How Sprinkle saves on it