Amazon Aurora vs Oracle Database In-Memory comparison

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Amazon Web Services (AWS) Logo
4,771 views|4,259 comparisons
100% willing to recommend
Oracle Logo
1,696 views|1,332 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Aurora and Oracle Database In-Memory based on real PeerSpot user reviews.

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Amazon Aurora vs. Oracle Database In-Memory Report (Updated: May 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities.""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.""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 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.""The provision of custom read and write endpoints eliminates the need for managing a separate proxy load balancer.""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."

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"The scalability of the solution is very good. It's able to support large amounts of data.""Security is the most valuable feature.""The solution's ROI is excellent.""Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads.""The product offers high scalability.""The scalability is very good.""Normally, every database server uses hard disks. In-Memory has a feature, apart from their database, which is very good. When we start our server, all your data needs loading memory. We can use that. It's a very good feature. I think they added this feature in 2019. We can mount memory in the partition, create partitions in there, and create table space from that spot to share. It's a really good feature. We use it a lot.""The most valuable aspects of this solution are the fast caching and improved performance to the database"

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Cons
"I would like to see more AI-related features in future releases.""The pricing could improve. It should be reduced.""It would have been helpful if they had provided some benchmarking numbers.""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.""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.""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."

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"They should lower the price. My customers think that it's too expensive.""The product could be more economical.""Oracle should include column store or advanced query optimization so a database can be optimized by enabling analytic queries to run faster.""I would like Oracle Database In-Memory to include a data replication feature.""Oracle Database In-Memory appliance-based solutions can be restrictive for some applications, as they may require more flexibility in the database design to be tuned and sized to the customer's needs.""We use some partitions in In-Memory. We have a very large table and a low dose. It is very expensive in data to load all of them into In-Memory. It takes up more memory slots in the server, as well as a lot of RAM. We use last partitions on the table. We always need to create a script and make a schedule that can load a last partition in In-Memory. Oracle doesn't have features to do this automatically. I would like them to allow us to load last partitions, as well as other table partitions, in In-Memory. I think a good feature would do that automatically, letting you see a table, load a large partition, and monitor loading memory. It's quite a good feature.""The query optimization and backup features should be added.""The platform’s pricing needs improvement."

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Pricing and Cost Advice
  • "The price could be lower compared to its competitors."
  • "It is quite expensive."
  • "The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."
  • "It is an expensive solution."
  • "There is no need to buy a license for the product. We can pay as per the use case."
  • "I would rate the pricing a six out of ten, with ten being expensive."
  • More Amazon Aurora Pricing and Cost Advice →

  • "Database In-Memory is priced a bit higher than its competitors like Microsoft."
  • "The pricing is pretty good so I rate it an eight out of ten."
  • "Oracle Database In-Memory is expensive."
  • "I rate the pricing a zero out of ten because Database In-Memory is too costly."
  • "It's quite costly and it comes with a fixed price."
  • "The solution's pricing is high."
  • "The product is expensive."
  • "There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."
  • More Oracle Database In-Memory Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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.
    Top Answer:I would rate the pricing a six out of ten, with ten being expensive.
    Top Answer:There is room for improvement in pricing. I would like to see more AI-related features in future releases.
    Top Answer:We can integrate it with any data sources as well.
    Top Answer:The cost of the product is high. There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution.
    Top Answer:The platform’s pricing needs improvement.
    Ranking
    Views
    4,771
    Comparisons
    4,259
    Reviews
    5
    Average Words per Review
    454
    Rating
    7.6
    Views
    1,696
    Comparisons
    1,332
    Reviews
    12
    Average Words per Review
    392
    Rating
    9.0
    Comparisons
    Learn More
    Overview

    Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

    Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

    Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

    Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

    Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

    Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

    The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

    For more information on Oracle Database In-Memory, visit Oracle.com

    Sample Customers
    Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel
    Shanghai Customs
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company15%
    Manufacturing Company5%
    Government5%
    REVIEWERS
    Financial Services Firm18%
    Manufacturing Company18%
    Government12%
    Computer Software Company12%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company12%
    Manufacturing Company10%
    Government8%
    Company Size
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business23%
    Midsize Enterprise15%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Amazon Aurora vs. Oracle Database In-Memory
    May 2024
    Find out what your peers are saying about Amazon Aurora vs. Oracle Database In-Memory and other solutions. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    Amazon Aurora is ranked 11th in Relational Databases Tools with 7 reviews while Oracle Database In-Memory is ranked 8th in Relational Databases Tools with 27 reviews. Amazon Aurora is rated 7.8, while Oracle Database In-Memory is rated 8.8. 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 Oracle Database In-Memory writes "User friendly with great scalability but needs to move toward intelligent AI". Amazon Aurora is most compared with SQL Server, Oracle Database, MariaDB, CockroachDB and MySQL, whereas Oracle Database In-Memory is most compared with SAP HANA, IBM Db2 Database, Progress OpenEdge RDBMS, SQL Server and Apache Derby. See our Amazon Aurora vs. Oracle Database In-Memory report.

    See our list of best Relational Databases Tools vendors.

    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.