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Amazon Redshift

Amazon Redshift

Fast, simple, cost-effective data warehouse that can extend queries to your data lake

Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.

Redshift delivers ten times faster performance than other data warehouses by using machine learning, massively parallel query execution, and columnar storage on high-performance disk.

You can setup and deploy a new data warehouse in minutes, and run queries across petabytes of data in your Redshift data warehouse, and exabytes of data in your data lake built on Amazon S3.

You can start small for just $0.25 per hour and scale to $250 per terabyte per year, less than one-tenth the cost of other solutions.

Benefits

Faster Performance

Amazon Redshift delivers 10x better performance than other data warehouses. It uses machine learning, a massively parallel architecture, compute-optimized hardware, and result set caching to deliver high throughput and sub-second response times. With Redshift, you spend less time waiting, and more time gaining insights from your data.

Easy to Set Up, Deploy and Manage

Amazon Redshift is simple to use, enabling you to deploy a new data warehouse in minutes. Redshift automates most of the common administrative tasks to manage, monitor, and scale your data warehouse. This helps you break free from the complexities of managing on-premises data warehouses.

Cost-Effective

Amazon Redshift is the most cost effective cloud data warehouse, and less than 1/10th the cost of traditional data warehouses on-premises. There are no upfront costs with Redshift, and you only pay for what you use. You can start small for just $0.25 per hour with no commitments, and scale out for just $250 per terabyte per year.

Scale Quickly to Meet your Needs

Amazon Redshift enables you to scale from querying gigabytes to exabytes of data across your Redshift data warehouse and Amazon S3 data lake. Quickly analyze any size of data in S3 with no loading or ETL required, and easily resize your Redshift cluster with just a few clicks on the console or a simple API call. With Redshift, you can scale up or down as your needs change.

Query your Data Lake

Amazon Redshift extends your data warehouse to your data lake to help you gain unique insights that you could not get by querying independent data silos. You can directly query open data formats stored in Amazon S3 with Redshift Spectrum, a feature of Redshift, without the need for unnecessary data movement. This enables you to analyze data across your data warehouse and data lake, together, with a single service.

SECURE Amazon Redshift runs mission critical workloads for large financial services, healthcare, retail, and government organizations. The database can be encrypted using AWS KMS or HSM. You can isolate your clusters using Amazon Virtual Private Cloud (VPC). Redshift is compliant with SOC1, SOC2, SOC3, PCI DSS Level 1 requirements, and FedRAMP, and HIPAA eligible with BAA available from AWS.

Other Companies Using Amazon Redshift

FinraNasdaqLogoJohnson & JohnsonNokiaLyft

Employees

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Cody Swann

Since founding Gunner Technology, Cody has served the company in every aspect of business development and product development.

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Dary Merckens

From a contractor to a partner, Dary has been with Gunner since year 1 and embodies the meritocratic spirit and philosophy of Gunner Technology.

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Mahdi Huessein

Mahdi joined Gunner at age 18 and quickly rose through the ranks to become VP of Engineering

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Elena Villanueva

From Sensors and Big Data to Media Queries and Form Validation, Elena has worked on pretty much anything you can imagine.

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Skyla Frye

Skyla is Gunner's go-to engineer when it comes to evaluating new tech. She loves evaluating bleeding edge software and teaching her colleagues what she learns.

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Kayden Chan

Kayden holds the Gunner Technology record for most straight hours worked at just under 70. He refuses to quit until the job is done and it's done right.

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Ethan Sloan

Ethan has a mind for infrastructure and a knack for visualizing platform solutions

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Nicolas Henderson

Nicolas' goal is to learn everything. A voracious reader, the only time his nose isn't in a tech book is when he's scripting a new infrastructure.

Projects

References

Related Terms

  • Amazon Web Services

    Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon.

  • Big Data

    Big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially relating to human behavior and interactions.