
Building Dataware house in cloud from legacy Review collected by and hosted on G2.com.
No downside yet as it is going well as expected Review collected by and hosted on G2.com.

Building Dataware house in cloud from legacy Review collected by and hosted on G2.com.
No downside yet as it is going well as expected Review collected by and hosted on G2.com.

Redshift enables users to effortlessly scale their data warehousing infrastructure up or down in accordance with their demands without worrying about the purchase or maintenance of hardware. Redshift's pay-as-you-go pricing structure also enables users to only pay for the resources they actually use, which can save consumers a lot of money in comparison to traditional on-premises data warehousing solutions. Review collected by and hosted on G2.com.
Large data sets might take a while to load into Redshift, especially if they need to be converted or go through pre-processing. Redshift has fewer partitioning options than some other data warehousing platforms, which can make it harder to optimise performance for certain use cases. Review collected by and hosted on G2.com.

I appreciate the query optimization capabilities of Amazon Redshift, as it intelligently selects the most efficient execution plans, resulting in faster query performance and enabling swift analysis of large datasets. Review collected by and hosted on G2.com.
I dislike about Amazon Redshift is the requirement for meticulous planning and monitoring of their usage, as it is essential to consider factors such as data size, cluster size, and data transfer frequency to ensure optimal cost efficiency and minimise the risk of unexpected expenses Review collected by and hosted on G2.com.
Redshift has proven to be a very valuable database for us, keeping us satisfied for years. However, recently we have decided to shift to Databricks in order to get access to a better UI and more optionality around how we use our data. Review collected by and hosted on G2.com.
Redshift doesnt offer as many tools as other data warehouses, such as built in visualization or auto-ML tools. It is quite basic, but it still comes at a high price. Review collected by and hosted on G2.com.

It's data processing speed just in second we will get our output. 3times faster than other could platform. It helps me as developer to optimise performance of process Review collected by and hosted on G2.com.
Some time it's lack during high workload but overall performance is too good highly recommend Review collected by and hosted on G2.com.
Amazon Redshift is incredibly fast; we run a multinode cluster and can run aggregations on hundreds of millions of rows in a few seconds. Amazon redshift is low-cost compared to competitors. Amazon Redshift is horizontally scalable; you can add more nodes to handle additional workloads. It is easy to manage as Redshift is based on SQL, and the amazon redshift query engine has the same interface as PostgreSQL. Review collected by and hosted on G2.com.
We are using Amazon Redshift as a data warehouse solution to handle petabytes of data and did not see many issues so far. Review collected by and hosted on G2.com.

Amazon Redshift is one of the best data warehousing tools offered by AWS. It provides real-time data analytics and allows for quickly running complex queries on large amounts of data, which is why it provides real-time insights that help make great decisions. Review collected by and hosted on G2.com.
Nothing I dislike about AWS Redshift. Review collected by and hosted on G2.com.

One of the most beneficial aspects of Amazon Redshift is its scalability, which allows users to store and analyze large amounts of data quickly. It also offers a cost-effective solution compared to traditional data warehousing options.
Here are some upsides of using Amazon Redshift:
1. Scalability: Amazon Redshift is designed to handle massive amounts of data and can scale up or down quickly to meet changing demands.
2. Affordability: With Amazon Redshift, users only pay for what they use, making it a cost-effective option for organizations of all sizes.
3. Integration with other AWS services: Amazon Redshift integrates seamlessly with other AWS services, making it easy to move data between services for analysis.
4. Security: Amazon Redshift offers a range of security features, such as encryption at rest and in transit and access control mechanisms to ensure that data is protected.
5. Ease of use: Amazon Redshift is user-friendly and easy to set up and use, even for users with limited technical expertise.
6. Customizability: Amazon Redshift allows users to customize their data warehousing environment to meet their specific needs, including the ability to create custom SQL functions and user-defined types.
Overall, Amazon Redshift is a versatile and powerful data warehousing solution that offers a range of benefits to users, including scalability, affordability, ease of use, and security. Review collected by and hosted on G2.com.
While Amazon Redshift has many benefits, there are also some potential downsides to using the service. Here are a few examples:
1. Limited SQL support: Amazon Redshift has some limitations regarding SQL support, such as lacking support for advanced SQL features. This may be a drawback for users with complex data warehousing needs.
2. Complex setup: While Amazon Redshift is generally user-friendly, setting up and configuring the service can be difficult and time-consuming, especially for users with limited technical expertise.
3. Query performance: In some cases, query performance can be slower than other data warehousing solutions, especially when dealing with complex queries or large datasets.
4. Data ingestion: While Amazon Redshift integrates well with other AWS services, ingesting data from external sources can be complex and time-consuming.
5. Cost: While Amazon Redshift can be cost-effective compared to traditional data warehousing options, it can still be expensive for users with large datasets or high query volumes.
Overall, while Amazon Redshift is a powerful and flexible data warehousing solution, users should carefully consider their needs and the potential downsides before choosing the service. It may not be the best fit for all users, especially those with highly complex data warehousing requirements. Review collected by and hosted on G2.com.

Fast, scalable and secure AWS data warehouse Review collected by and hosted on G2.com.
The learning curve and possible bottle necks Review collected by and hosted on G2.com.

1. Easy to implement or set up on-premise
2. AWS console is very quick in querying tables
3. Easy to upload data
4. Give user to deep dive into insights as it is compatible with many visualization tools Review collected by and hosted on G2.com.
1. Training documentation is not so detailed
2. Learning requires at least a month of time
3. Price is a bit high as compared to other providers
4. Debugging is a quite annoying Review collected by and hosted on G2.com.
Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

Should I use with a data mart for a frontend tool that make request on it ?
Pricing provided by Amazon Redshift.