Amazon Redshift Room for Improvement

Sarfraz Nawaz
Chief Executive Officer at Ampcome
The OLAP slide and dice features need to be improved. For example, if a business wants to bring in a general ledger from an ERP, they want to slice and dice the data. What we have found is that they have a lot of formulas that are used to calculate metrics, so what we do is use SQL Server Analysis Services. The question then becomes one of adopting a single vendor and transitioning to Azure. If Redshift had similar capabilities then it would be very good. View full review »
Thomas Dallemagne
Cloud & Data - practice leader at Micropole Belgium
I would like a better way to ingest data in realtime because there is a bit too much latency. There are too many limitations with respect to concurrency. It is now possible to auto-scale it, although that is still slow. It could offer smaller nodes with decoupling of storage and processing because for the moment, the only nodes available to work that way are huge, and for large companies. View full review »
reviewer1359915
Service Manager & Solution Architect at a logistics company with 10,001+ employees
The managing updates, deletes, and role-level change performance is very low. For example, while you are doing inserts, updates, deletes, and amalgamates, the performance is very, very poor. If you want to query the database after you have a lot of terabytes of data, the load, performance-wise, is very low. Looking at the performance of the query, querying the database, and especially with the amalgamates when it is getting updated, it is really poor. We like this solution and have tried all of the native services; they were working quite well. The only concern about Redshift was managing the cluster, especially the EMR cluster. Our company policy was not to use EMR clusters, especially with the nodes failing. There were many instances of downtime happening. Essentially, there was too much data traffic. The other drawback was the CDC, as we do not have any tools that can support it. Creating the structure is easy on the DDL side, but after you create the table and you want to transform the data to store it in a database, the performance is poor. It takes a lot of time to ingest and update the data. After you ingest the data and someone wants to fetch it in the table, it takes a lot of time performance-wise to return the results. View full review »
Learn what your peers think about Amazon Redshift. Get advice and tips from experienced pros sharing their opinions. Updated: January 2021.
456,495 professionals have used our research since 2012.
AndrewAlangaram
Business Analyst at a tech services company with 201-500 employees
It would be useful to have an option where all of the data can be queried at once and then have the result shown. As it is now, when we run a query and we are looking at the results, part of the data remains to be processed at the back end. That works very well, but in some cases, we require the whole data to be queried at once and then have the results shown. We have not faced many use cases where it would have been useful, but in one or two, we used other methods to achieve this goal. When our clients contact customer support, they don't want to speak with a machine. Instead, they want to chat with a real person who can provide a solution. Customer service bots can provide solutions but they cannot understand our problems. View full review »
MadhavanSrinivasan
CEO at Screenit Labs Pvt Ltd
We have had some challenges with respect to considering some of the high-end availability architecture for production. We don't find many issues now, but initially, we had some challenges. This is an older product, so when it comes to usability, it requires a technical person to work with it. It requires a specialist and a good business case to work on it. It has to be a little more user-friendly than what it is today. In our experiments, the handling of unstructured data was not very smooth. View full review »
reviewer1209333
Head of Data Warehouse & Business Intelligence at a comms service provider with 501-1,000 employees
From my perspective, the product could be improved by making it more flexible. There are now more flexible products on the market that allow for expandability and dynamic expansion as the market changes with regard to data warehouses. Although the product is simple to use there can be problems. If you declare some unique key in a column and then store it, the database is going to believe this is what you have and results will be distorted. It's fine if the query is simple but if it's complex or you have too many queries per hour, it can create a bottleneck for Redshift and then you can't return and recover. It requires some fine-tuning. For additional features, I would like to see support for partitions, it doesn't exist yet as a feature. It's quite an important issue when you're dealing with large databases. Also, I believe the product needs improvement in parallel threading to support more database users without jeopardizing performance. View full review »
Shyam Shankar
Senior System Engineer at a computer software company with 10,001+ employees
Pricing is one of the concerns that I have because if you compare Snowflake with Redshift, it provides some of the same services, but at a much cheaper rate. So pricing is one of the things that it could improve. It should be more competitive. Otherwise, everything else looks good, especially the data storage and analytical processes. View full review »
Mediha Šiljić
Chief Information Officer at Sensilab
Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions. That's a big problem now. View full review »
reviewer1221354
Senior Software Engineer at a tech services company with 51-200 employees
Running parallel queries results in poor performance and this needs to be improved. View full review »
reviewer1207005
Head of Analytics at a tech services company with 10,001+ employees
The speed of the solution and its portability needs improvement. View full review »
Nir Wasserman
BI Manager at jfrog
In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations. View full review »
Learn what your peers think about Amazon Redshift. Get advice and tips from experienced pros sharing their opinions. Updated: January 2021.
456,495 professionals have used our research since 2012.