Data is an invaluable resource in today’s world and it is growing in volume and complexity faster than ever before. Traditional data warehousing systems cannot keep up. With rigid architectures that require significant investment to maintain, update, and secure, they do not give organizations the opportunity to make the most of their data.
Moving to a cloud data warehouse like Amazon Redshift liberates your analytics from these limitations. You can run queries across petabytes of data in your data warehouse and extend into your data lake, what we call a “lake house” approach.
Learn more about migrating to Redshift from the following self-service migration guide or get in touch with us today to learn more about how we can accelerate your migration.
Set up, deploy, and manage with ease
Amazon Redshift is fully managed and simple to use, enabling you to deploy a new data warehouse in minutes and load virtually any type of data from a range of cloud or on-premises data sources. It automates most of the common administrative tasks to manage, monitor, and scale your data warehouse, so you can spend your time on more productive, needle-moving endeavors. It delivers fast query performance, improves I/O efficiency, and scales up or down as your performance and capacity needs change.
Get scale and flexibility
With your data warehouse on AWS, you can go beyond data loaded on to local disks and query vast amounts of unstructured data in your Amazon S3 data lake - without having to load or transform any data. You can query data in open formats, including CSV, TSV, Parquet, Sequence, and RCFile. Having your data available in open formats in your data lake ultimately gives you the flexibility to use the right engine for different analytical needs.
Operate at the lowest cost
Start small at $0.25 per hour and scale up to petabytes for under $1,000 per terabyte per year. Pay for compute and storage separately and only pay for the storage you use. Use pause and resume for clusters not in use and know how much you'll spend with predictable monthly costs. Amazon Redshift is at least 50% less expensive than all other cloud data warehouses and less than one-tenth the cost of most on-premises systems.
Perform the fastest queries
Redshift is the world’s fastest cloud data warehouse and gets faster every year, so you can derive insights from your data even more quickly. For performance intensive workloads, you can use the new RA3 instances to get up to 3x the performance of any cloud data warehouse.
Netezza to Redshift
Nielsen was running a legacy on-premise data warehouse based on Netezza until the company built a new, data-lake-based architecture with Amazon Redshift.
Oracle to Redshift
Amazon.com’s on-premises Oracle infrastructure was hard to maintain and operate, so the company decided to switch to Amazon Redshift.
Teradata to Redshift
Equinox Fitness migrated to Redshift from its Teradata on-premises data warehouse to reduce time-to-insight and control infrastructure costs.
SQL Server to Redshift
Intuit moved its mission-critical workloads to Amazon Redshift from its on-premises environment to speed development, innovate faster, and better solve customers’ needs.
If you are looking to move off of your legacy data warehouse, we can help with managing and reducing licensing commitments from legacy vendors, providing expert advice and tools to re-factor your data warehouse and applications, and issuing funding and incentives to migrate in a cost-neutral way.
For qualified customers, the Database Freedom program offers:
- Expert advice: Guidance through the Proof of Concept (POC) and migration process.
- Tooling: Hands-on assistance through a combination of the following: AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), Amazon Database Migration Accelerator, Amazon Redshift Partners, or AWS Professional Services.
- Financial incentives: Funding to accelerate progress at all stages of a migration.
Recent AWS re:Invent and Summit Sessions on Redshift Migrations
Recent AWS Online Tech Talks on Redshift Migrations
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