Amazon Redshift and AWS Lake Formation serve distinct roles in data management ecosystems. While Redshift offers superior analytics with strong performance and scalability, Lake Formation leads in data security and accessibility.
Features: Amazon Redshift provides scalable architecture, optimized querying capabilities, and a strong integration within AWS services. AWS Lake Formation is recognized for its focus on data security, data privacy management, and simplified data ingest processes.
Room for Improvement: Amazon Redshift could benefit from enhanced real-time data processing capabilities, improved cost management for high-volume users, and better support for non-AWS integrations. AWS Lake Formation might improve by offering more advanced analytics tools, increased data processing speed, and better integration options with external data sources.
Ease of Deployment and Customer Service: Deploying Amazon Redshift is straightforward with comprehensive documentation and extensive AWS integration options. AWS Lake Formation offers an intuitive setup process, simplifying the transition to managing complex data environments with a user-friendly data catalog and permission controls.
Pricing and ROI: Amazon Redshift offers predictable costs, suited for businesses needing high-performance analytics, often translating to significant ROI from data-driven decisions. AWS Lake Formation appeals with a lower initial setup cost, aligning its ROI with aims for centralized data governance.
| Product | Market Share (%) |
|---|---|
| Amazon Redshift | 7.5% |
| AWS Lake Formation | 5.7% |
| Other | 86.8% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 21 |
| Large Enterprise | 27 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
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
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.
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.
