"The most valuable feature is the scalability, as it grows according to our needs."
"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."
"This service can merge and integrate well with all databases."
"It is quite simple to use and there are no issues with creating the tables."
"Amazon Redshift is very fast. It has really good response times. It's very user-friendly."
"Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features."
"The initial setup is easy."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"It is not a pricey product compared to other data warehouse solutions."
"Tools like the BI and SAS are excellent."
"Planting is the primary key enforcement that should be improved."
"In our experiments, the handling of unstructured data was not very smooth."
"The refreshment rate of data reaching Redshift from other sources should be faster."
"Improvement could be made in the area of streaming data."
"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."
"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure."
"There are too many limitations with respect to concurrency."
"It takes a lot of time to ingest and update the data."
"We find the cost of the solution to be a little high."
"They need to incorporate a machine learning engine."
"I would like the tool to support different operating systems."
"It could be made more user-friendly for business users which would increase the user base."
Earn 20 points
Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.
Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.
Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.
As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.
The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 12 reviews while Microsoft Parallel Data Warehouse is ranked 10th in Data Warehouse with 3 reviews. Amazon Redshift is rated 7.6, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of Amazon Redshift writes "Scales according to our needs, which saves a lot in terms of upfront costs". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". Amazon Redshift is most compared with Snowflake, Microsoft Azure Synapse Analytics, Oracle Exadata, Vertica and Teradata, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and Vertica.
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