2021-03-16T03:58:00Z

What needs improvement with Amazon MSK?

Julia Miller - PeerSpot reviewer
  • 0
  • 17
PeerSpot user
6

6 Answers

Gustavo-Barbosa Dos Santos - PeerSpot reviewer
Real User
Top 5
2024-01-08T19:58:03Z
Jan 8, 2024

The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET. They should build schema access as efficiently as developed by Confluent Cloud.

Search for a product comparison
KA
Real User
Top 20
2023-09-04T10:52:00Z
Sep 4, 2023

The configuration seems a little complex and the documentation on the product is not available.

Aniruddh Kurundkar - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-06-19T15:50:00Z
Jun 19, 2023

Using Exabeam has provided one valuable aspect, which is the availability of separate agents for Windows and Linux. However, there is a difference when it comes to Linux. On Linux, we need to perform certain command line operations, whereas, for Windows, we have the convenience of an MSI package. One thing I personally feel is that it would be beneficial to have command line installation for Windows as well. Additionally, we have to install the package one by one on each server. It would be really helpful if Amazon MSK could provide a single installation that covers all the servers. If there are multiple servers, I would otherwise need to perform individual installations on each one. All of my servers are either VDI or virtual machines, so I have to log in to each virtual machine, copy the necessary files, and then initiate the installation. In future releases, I would like to see if there a probability of having a one-click installation that can be applied to all servers.

Keorapetse Naane - PeerSpot reviewer
Real User
Top 20
2023-05-18T10:57:00Z
May 18, 2023

There's a bit of operational overhead, but it's not a transmission. It's something you can live with because the setting out of the Kafka cluster is less managed compared to Kinesis. Once it's set up, everything goes smoothly without going through that operational overhead again. So maybe that could be some disadvantage, but it's not a transmission related to what you're getting from Kafka. Operational overhead for setting up the Kafka cluster compared to the Kinesis data stream is easier. For Kinesis, you have to do a few clicks and your data stream is ready if I need to do some config to set up the transfer. The solution does not auto-scale. The pricing can be improved.

NK
Real User
Top 5
2022-08-22T16:00:08Z
Aug 22, 2022

Amazon MSK could improve on the features they offer. They are still lagging behind Confluence.

GG
Real User
2021-03-16T03:58:00Z
Mar 16, 2021

MSK should be easier to integrate with other solutions. It should be more flexible, integration-wise. MSK has a private network that's an out-of-the-box feature. For our case, we needed something public. We can't handle private-only. So, in order to make the data public, we had to do some extra work. It became too risky for us. That's the main reason we stopped using it.

Find out what your peers are saying about Amazon Web Services (AWS), Confluent, Microsoft and others in Streaming Analytics. Updated: March 2024.
765,386 professionals have used our research since 2012.
Streaming Analytics
What is Streaming Analytics? Streaming analytics, also known as event stream processing (ESP), refers to the analyzing and processing of large volumes of data through the use of continuous queries. Traditionally, data is moved in batches. While batch processing may be an efficient method for handling huge pools of data, it is not suitable for time-sensitive, “in-motion” data that could otherwise be streamed, since that data can expire by the time it is processed. By using streaming...
Download Streaming Analytics ReportRead more