Amazon Redshift Reviews & Product Details

Amazon Redshift has an easy to use and setup gives teams of all sizes access to data warehousing and analytics. It’s got robust feature and it integrates well with other AWS services to make it easy to implement and scale. Their customer support is reliable and their use frequency adds a value by using their analytics which give us important insights about our business. Review collected by and hosted on G2.com.

While powerful, Amazon Redshift can be expensive to process on a large scale with increasing amount of data. Complex joins can slow down query performance, and tuning is an expertise. In high demand environments there is limited support for unstructured data and frequent optimization can be difficult, especially for daily operations. Review collected by and hosted on G2.com.

Amazon Redshift is a game-changer, allowing us to have highly scalable and performance-enabled data warehousing for the complex project. The MPP architecture and columnar storage offer powerful query performance on the platform. Redshift also allowed us easily to integrate several AWS services, such as using S3 for data imports and Glue for ETL operations, and made our pipeline very streamlined so that data transfer and queries were decreased by many times.

With Spectrum, Redshift can handle structured as well as semi-structured data, which will allow efficient cross-database queries and productivity boost with regards to data analytics and reporting. Advanced data compression features and data distribution ensure that storage is optimally utilized while efficiently making use of and managing costs on resources. Review collected by and hosted on G2.com.

Though performance and scalability of Redshift are excellent, the system is not very easy to use for optimization and query tuning for new users. Automated tools for better configuration will enable it to reach a diverse set of teams. Review collected by and hosted on G2.com.

Whenever I need to manage large datasets, Amazon Redshift is my go-to tool. Its ability to handle complex queries and large volumes of data makes it essential for my work. The speed and efficiency with which it processes data are particularly impressive. Review collected by and hosted on G2.com.

For someone new to AWS or cloud-based data warehousing, getting started with Redshift can be a bit tricky. The initial learning curve was steep for me, especially when it came to understanding the migration process. But with time, I found it to be an invaluable platform for analyzing complex data. Review collected by and hosted on G2.com.

Scalable tools with real-times insights. Review collected by and hosted on G2.com.

please Pricing can be complex and unclear. Review collected by and hosted on G2.com.

It provides easy to use and implement yet very powerful columns based data solution that helps in faster query performance. Also cross database analytics is gamechanger. Review collected by and hosted on G2.com.

It requires time for properly optimizing and tuning queries for the db which is the downside of this solution. Review collected by and hosted on G2.com.

Comes with AWS suite of SaaS extremely secure cloud data warehouse Medium level of complexity for integration and usability Customer support is Fast and efficient can be used for daily and hourly usage never shuts down, unless there is a global outage implementing can be tricky based on your existing use case Review collected by and hosted on G2.com.

IAM roles is very complex and not easy to integrate Slower than other cloud data warehouse Review collected by and hosted on G2.com.

The best part is the ability of its keys (distribution data keys) which enhances the performance capabilities when queries are run. It is mostly managed by AWS and quite good in distribution processing too. Huge amount of data can be stored within it with ease, seamlessly integrates with other AWS services if needed, especially storage services. Review collected by and hosted on G2.com.

An option to search/find data would be a little helpful because it can have massive amount of data. Scalability whether up or down is restricted or to be precise, it is limited to an extent compared to other cloud providers. Even is concurrency is less compared to others with a max of 50. Review collected by and hosted on G2.com.

Scalability and AI capabilities are very useful Review collected by and hosted on G2.com.

Lack of cross language usage for writing code Review collected by and hosted on G2.com.

It has a great pay as you go pricing which is useful for small companies and has amazing performance with little issues. Review collected by and hosted on G2.com.

While Redshift is excellent for traditional data warehousing tasks, it lacks some of the more advanced analytics and machine learning features that are increasingly in demand. Review collected by and hosted on G2.com.

In Redshift we can show large amount of data using AWS Data Glue Crawler service easily. Review collected by and hosted on G2.com.

There is nothing now. It's good for my use. Review collected by and hosted on G2.com.