Skuuudle Reviews

1. Chris Burton

   | Head of eCommerce and Marketplace at J Rosenthal & Sons. | over 4 years ago
   Superb Company - Great service and insightful results.

   Skuuudle are a superb company to deal with. Whoever I have dealt with has always taken the time to understand my requirements in great detail. The QC process and all communications from various points of contact within the company are first class in terms of accuracy and guidance. I have used the services of Skuuudle for 6+ years now and would be happy to recommend. Matt Boudin who has been my recent point of contact has continued with excellent advice and customer service. The data provided my Skuuudle services is accurate, on time and incredibly reliable.

   👍 Pros:    Good price|Fast support|Great customer support|Easy to track data

   👎 Cons:    None
2. Daniel Prendergast

   | Director at The Rug Seller | over 4 years ago
   Professional Service

   Really professional and helpful team at Skuuudle. First class service and cost effective.

   👍 Pros:    Professional|Cost effective|Helpful|Knowledgable
3. Steven Woodcock

   | Head of Ecommerce at Maidenhead Aquatics | over 4 years ago
   Great Service

   Great service from Skuuudle, the report is always accurate and the team are really helpful. Great o review products in bulk if infrequent, which is currently what we are using them for.

   🏁 Competitors: Price2Spy

   👍 Pros:    Customer support|Accurate

   👎 Cons:    Dashboard still in development

Amazon Redshift Reviews

Skuuudle mentions (1)

• Pricing / competitor analysis

  You can look at tools like Skuuudle and PriceShape if you really want to get into pricing with clients. Source: about 1 year ago

Amazon Redshift mentions (26)

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / 4 months ago

• Choosing the Right AWS Database: A Guide for Modern Applications

  Data warehousing is the process of storing and analyzing large volumes of data for business intelligence and analytics purposes. AWS offers a fully managed data warehousing service called Amazon Redshift that can handle petabyte-scale data warehouses with ease. - Source: dev.to / 8 months ago

• A Comprehensive Guide to AWS DynamoDB vs. Redshift for Databases and Data Warehouses

  The topics of databases and data warehouses are central to the modern data landscape, and Amazon's offeringsDynamoDB and Redshiftare standout products in their respective categories. Here's a detailed comparison:. - Source: dev.to / 9 months ago

• AWS Redshift: Robust and Scalable Data Warehousing

  Amazon Redshift is a powerful, scalable data warehousing service within the AWS ecosystem. It excels in handling large datasets with its columnar storage, parallel query execution, and features like Redshift Spectrum and RA3 instances. Redshift’s clustered architecture, robust security, and integration with AWS services make it a go-to choice for businesses needing efficient and secure data management solutions. - Source: dev.to / about 1 year ago

• AWS Beginner's Key Terminologies

  Amazon Redshift (analytics) Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze your data using your existing business intelligence tools. Https://aws.amazon.com/redshift/. - Source: dev.to / over 1 year ago