We performed a comparison between Amazon Aurora and Kinetica based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools."The most valuable feature is the ability to do multiple-read and single-write. These are the kinds of features that we were interested in, and Aurora takes care of that natively."
"The most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling."
"We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities."
"The most valuable feature is that the maintainability is offloaded to the service provider. I don't have to maintain a database or do any administrative tasks, which comes in handy."
"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."
"The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer."
"Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code."
"The solution scales easily."
"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."
"I would like to see more AI-related features in future releases."
"The product's distributed query process for MySQL needs improvement."
"It is a bit costly. The features are quite good, and I wouldn't say it requires any technical improvements. But from a cost perspective, some clients wouldn't go for Aurora because of that."
"It would have been helpful if they had provided some benchmarking numbers."
"The pricing could improve. It should be reduced."
"There is improvement needed to have more developer focus. Additionally, it would be helpful to have a stand-alone solution outside of Amazon. Amazon has a tendency to favor developing web-based clients, which may not always provide the fastest or most responsive solution as desired."
"There are very limited resources available in the market in terms of implementation. They need to offer training plans for graduates so that more resources are available in the market."
Amazon Aurora is ranked 10th in Relational Databases Tools with 7 reviews while Kinetica is ranked 22nd in Relational Databases Tools with 1 review. Amazon Aurora is rated 7.8, while Kinetica is rated 7.0. The top reviewer of Amazon Aurora writes "Easy-to-manage platform with a valuable auto-scaling feature ". On the other hand, the top reviewer of Kinetica writes "Easy to scale and good record to report capabilities but needs better training ". Amazon Aurora is most compared with SQL Server, Oracle Database, MariaDB, CockroachDB and MySQL, whereas Kinetica is most compared with SingleStore and OmniSci.
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We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
