Data Lakehouse

Augment Amazon Redshift
with an Open Data Lakehouse

Learn why companies are moving away from Amazon Redshift
towards a SQL Data Lakehouse with Presto

Challenges with Amazon Redshift



As data volumes increase, the cost of storage and compute in the warehouse becomes
challenging. AWS Redshift and Redshift Spectrum come with a premium cost, especially if you use Spectrum outside of AWS Redshift.

Vendor lock-in

Vendor lock-in

Data warehouse vendors, like AWS Redshift, make it difficult to use your data outside of their services. Data would need to be pulled out of the warehouse and duplicated, further driving up compute costs.

Proprietary data formats

Proprietary data formats

Data architects, data engineers, and analysts are required to use the data format supported by the data warehouse. No flexible or open data formats available.

Ahana Cloud Benefits:

Better Price Performance

Ahana Cloud is fully-integrated, & cloud native. Pay for what you use with no upfront costs. Get the performance you’re used to – just pay less for it!

Open & Flexible

Define & manage data sources. Attach or detach from any cluster. Ahana takes care of configuring & restarting the clusters.

No Vendor Lock-in

Use the tools & integrations you need to get value from your data without restriction

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Data Warehouse or Data Lake?

Get more insight about choosing what fits best based on your need.

AWS Redshift FAQ

Tutorial: How to run SQL queries with Presto on Amazon Redshift

What is Amazon Redshift Spectrum?

Understanding AWS Redshift Pricing

Redshift Data Warehouse Architecture Explained

AWS Redshift Query Limits