Modernize Your Data Warehouse Solution for AI-Powered Future-Ready Analytics

Globally, organizations have been confronted with an exponentially high volume of data to store, process, analyze, and archive.
Most of the data warehouse solutions were built years ago and are less and less fitting the advanced data analytics requirements. Due to their inflexibility, they are expensive to manage and are difficult to analyze for meaningful insights.
Traditional data warehouses not only lack advanced analytical capabilities but also fail to serve modern business needs due to inconsistent or outdated data, hindering meaningful insights.
Moreover, scaling on-premise data warehouse storage and compute capabilities often comes with significant financial burdens
Amazon Redshift Data Warehouse Solutions

What is Amazon Redshift 

A cloud-powered next-generation data warehouse solution with high performance & low cost

Amazon Redshift is a cloud-based next-generation data warehouse solution that enables real-time analytics for operational databases, data lakes, and third-party datasets including operational databases and old-generation data warehouses.

Thousands of customers use  Amazon Redshift data warehouse solutions to analyze terabytes to petabytes of data and perform complex queries.

Building a Redshift data warehouse can give you up to 3x better pricing than any other cloud data warehouse.

Amazon Redshift is a fully managed service and offers both provisioned and serverless options, making it easy for you to run and scale your analytics and the maintenance burden is shifted off of you.

How does Amazon Redshift  work 

Columnar storage technology is distributed across multiple nodes to deliver super-fast query results 

Amazon Redshift data warehouse solution provides fast querying and data retrieval by means of columnar storage technology, even for very large datasets, by processing them on multiple nodes simultaneously.
Redshift database makes it easy and cost-effective to analyze all your data using your existing BI(business intelligence) tools.
Through Amazon Redshift Spectrum, you can query exabytes of unstructured data in Amazon S3, without having to load it.
With the Amazon Redshift data warehouse solution, you can perform cross-domain queries without the need for ETL (extract, transform, and load).


What are the key benefits of  Amazon Redshift over traditional data warehouses

Reduce infrastructure management overhead and deploy services quickly

Traditional data warehouse solutions have rigid structures, so, many organizations invest in additional tools and infrastructure to accommodate their data needs more quickly. This creates multiple data silos with highly redundant architecture, which require regular patching and updates.

Amazon Redshift data warehouse solution provides the following key benefits :

High Performance

Amazon Redshift delivers consistently fast performance, even with thousands of concurrent queries, whether they query data in your Redshift database or directly in your Amazon S3 data lake. 

Amazon Redshift data warehouse solutions support virtually unlimited concurrent users and queries to give you the highest performance.

Lowest Pricing Model

Amazon Redshift is the only data warehouse solution in the cloud with on-demand pricing and no upfront costs or advanced payment.

Pricing starts at $0.25 per hour and scales up to petabytes of data and thousands of concurrent users. Choose aws redshift pricing that suits your business needs and avoid over-provisioning compute or storage resources.

With Amazon Redshift On-demand Pricing, you will only be billed as long as your cluster is running. 

If you use Amazon Redshift’s advanced pricing, have security built-in, employ data compression, have backup storage, and can transmit larger amounts of data, then managed storage may be the way to go. As a result, your data will be easier to store and will cost you only $0.024 per GB per month.

High Security

Amazon Redshift provides data security out-of-the-box at no extra cost. With just a few clicks, you choose to enable encryption of data at rest, and this will encrypt all of the data written on the disks and backups.
For network isolation, you can run Amazon Redshift inside Amazon Virtual Private Cloud (VPC) to isolate your data warehouse cluster in your own virtual network and connect it to your existing IT infrastructure.

Advance Analytical Capabilities

Amazon Redshift gives you the freedom to visualize your data using any of the tools of your preference, including Amazon Quicksight, Tableau, PowerBI, QueryBook, and Jupyter Notebook. Seamlessly get data from traditional, cloud-native, containerized, serverless web services-based, and event-driven applications.

Redshift database delivers meaningful insights in seconds while relieving you of the burden of managing your data warehouse. It allows you to focus on driving business outcomes instead.


Why Amazon Redshift is the right choice for your data warehouse solution

Easy processing of structured, semi-structured, and unstructured data

Traditionally, data warehouses have been unable to deal with the variety of data structures that come from different sources.
Amazon Redshift data warehouse architecture enables you to process, and store all of your data from different sources–regardless of its nature. It provides easy processing of structured, semi-structured, and unstructured data.
Your traditional data warehouse can seamlessly be migrated to the Amazon Redshift to enhance query and data load performance, increase scalability, and reduce costs. Analyze your data quickly and cost-effectively with Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse.

How eCloudChain can help 

Successfully implement Amazon Redshift with zero downtime

Traditional data warehouse solutions require complicated and expensive maintenance work. Our firm assists organizations in the implementation of Amazon Redshift, a modern data warehouse solution that runs in the cloud, stores data, and adheres to security protocols. Contact us for Amazon Redshift related services such as:

  • Build Amazon Redshift Proof Of Concept(POC)
  • Migrate traditional data warehouse to Redshift
  • Implement a new Redshift data warehouse 
  • Implement Redshift Serverless for better cost management
  • Build integration with unstructured, structured, and third-party data sources
  • Build Amazon Redshift ML capabilities 
  • Optimize advanced analytical capabilities with BI

To Build Amazon Redshift POC Please contact us 

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    How To Setup Amazon RedShift For Analytics

    Gain invaluable insights and step-by-step guidance on setting up Amazon RedShift for advanced analytics in this white paper. Unlock the potential of your data infrastructure, optimize performance, and drive strategic decision-making with confidence.

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    How To Setup Amazon RedShift For Analytics