Amazon Redshift to Snowflake – Made Easy
Replicate Amazon Redshift to Snowflake in minutes
If you are the owner of an eCommerce business, you likely collect data in numerous cloud-based applications every day. But as you grow and the usage of data becomes more complex, having quick access to inventory, orders, and customers’ data can make all the difference between increasing your costs and increasing your business revenue. It’s critical that all your data reaches its optimal destination for analytics, like a high-performing cloud data warehouse.
Replicate your AWS Redshift data to Snowflake to pull insights more efficiently and take full advantage of your data to gain valuable insights. Snowflake is a cost-effective data warehousing solution as it is built to handle analytical queries and scale complex data sets. In this article, we will walk you through two processes of integrating Amazon Redshift data to Snowflake – one building your data pipeline and another using Daton.
Why integrate Amazon Redshift with Snowflake?
Redshift makes it easy to unify data and build a foundation for the internal analytics that power a lot of critical business processes. But at some point when your data becomes more complex, you may face performance issues. Integrating your Redshift data with Snowflake will provide you with an unlimited scalable data store that includes cutting-edge data analytics tools. Snowflake is optimized for analytics workloads, therefore it is an ideal solution for businesses dealing with very complex data sets. Redshift Snowflake integration will also allow you to combine your data with data from other data sources to make it even more valuable.
Amazon Redshift Overview
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is a cloud-based data warehouse and analytics service run by Amazon Web Services (AWS) and designed for large-scale data set storage and analysis. Based on PostgreSQL 8, Redshift delivers fast performance and efficient querying that help companies make sound business decisions. Redshift is a columnar store, making it particularly well-suited to large analytical queries against massive datasets.
Snowflake is a data warehouse solution built on top of the Amazon Web Services (AWS) cloud infrastructure and is a true SaaS offering. There’s no hardware or software to select, install, configure, or manage, so it’s ideal for organizations that don’t want to dedicate resources for setup, maintenance, and support of in-house servers. Snowflake stores both structured and semi-structured data, converting it into a usable format that is SQL-compatible. The Snowflake data warehouse is cloud-agnostic, allowing the customers to be multi-cloud.
How to replicate Amazon Redshift to Snowflake?
Here’s an overview of the two approaches you can use to replicate Amazon Redshift data to Snowflake. This will allow you to evaluate the pros and cons of both and choose the one that best suits your requirement.
Build your own data pipeline
This process needs a lot of experience and consumes a lot of time and manpower. The chances of errors are more due to multiple integrated steps one after the other. You need to extract data using Amazon Redshift APIs & then connect it properly with the Snowflake data warehouse. This whole process to build a custom data pipeline requires regular intervention that makes it cumbersome.
Use Daton to integrate Amazon Redshift and Snowflake
Integrating Amazon Redshift and Snowflake with Daton is the fastest & easiest way to save your time and effort. Leveraging a cloud data pipeline like Daton significantly simplifies and accelerates the time it takes to build automated reporting.
Configuring data replication on Daton only takes a few minutes and a few clicks. Your analysts do not have to write any code or manage any infrastructure, yet you can get access to Amazon Redshift data in a few hours.
Daton’s simple and easy-to-use interface allows analysts and developers to use UI elements to configure data replication from Amazon Redshift data into Snowflake.
Daton takes care of:
- Rate limits
- Historical data load
- Incremental data load
- Table creation, deletion, and reloads
- Refreshing access tokens
and many more important functions for data analysts to focus on analysis rather than worrying about the data replication process.
Steps to integrate Amazon Redshift with Daton
- Sign in to Daton
- Select Amazon Redshift from the integrations page
- Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later
- You will be redirected to Amazon Redshift login for authorizing Daton to extract data periodically
- Post successful authentication, you will get prompts to choose from the list of available Amazon Redshift accounts
- Select required tables from the available list of tables
- Then select all required fields for each table
- Submit the integration
Here are more reasons to explore Daton for Amazon Redshift to Snowflake Integration
- Faster integration – Amazon Redshift to Snowflake is one of the integrations Daton can handle very conveniently and seamlessly. By following a few steps you can easily connect Amazon Redshift to Snowflake.
- Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. No need to manage infrastructure or write manual code.
- Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus on analysis and insights!
- Enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your data needs grow.
- Robust Scheduling Options: This allows you to schedule jobs based on their requirements using a simple configuration step.
- Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL, and more.
- Flexible loading options allow you to optimize data loading behavior to maximize storage utilization and ease of querying.
- Enterprise-grade encryption gives your peace of mind
- Support for 100+ data sources – In addition to Amazon Redshift, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms, and much more.
Daton, a fully managed, no-code cloud data pipeline, will take up your data replication from Amazon Redshift to Snowflake so you can focus on the right business opportunities rather than data management.