Amazon EMR and Amazon Redshift compete in the big data and data warehouse category. Amazon Redshift seems to have the upper hand due to its speed, scalability, and integration capabilities.
Features: Amazon EMR effectively manages big data, offers auto-scaling, and is cost-effective, integrating with Hadoop and ensuring minimal downtime. Amazon Redshift is known for its impressive query performance, scalability, and support for diverse data formats and BI tools, providing a powerful data warehouse experience.
Room for Improvement: Amazon EMR needs enhancements in web support, user interface, and setup complexity, as well as cost optimization and start-time performance issues. Amazon Redshift requires better snapshot restoring, DML features, and database compatibility, with some concerns over pricing and newer competitors.
Ease of Deployment and Customer Service: Amazon EMR primarily runs on the Public Cloud with strong technical support and quick responses through AWS channels. Amazon Redshift is deployable in Public, Private, and Hybrid Clouds but receives mixed customer service reviews, citing inconsistencies and slower response times.
Pricing and ROI: Both Amazon EMR and Redshift offer flexible pricing based on usage. EMR can be costlier due to its managed service model, whereas Redshift offers cloud-based cost-effectiveness despite higher initial setup costs. Both products deliver significant ROI, particularly for businesses transitioning from on-premise systems.
It's costly when you enable support.
The scalability part needs improvement as the sizing requires trial and error.
Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.
They should bring the entire ETL data management process into Amazon Redshift.
The cost of technical support is high.
It's a pretty good price and reasonable for the product quality.
The pricing of Amazon Redshift is expensive.
Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.
Scalability is also a strong point; I can scale it however I want without any limitations.
Security configurations are implemented across all processes, such as AWS Config and GuardDuty.
Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.
Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.
The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.
Amazon Redshift Functionalities
Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:
Reviews from Real Users
“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS
“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
